减排约束下电力资源综合利用优化模型与方法研究
|
摘要
随着经济的快发发展,我国对能源的需求量日益剧增,污染物排放量也呈现逐年增加的趋势。作为发展中国家,我国尽管以经济快速发展作为主要目的,但降低能源消费量和污染物排放量也是不得不面对的,为此,我国正面临着经济快速发展与环境污染不断加重之间的矛盾。为了能够缓解矛盾,改变传统的电力资源开发利用方法被提上日程,电力作为国民经济应用最广泛、依赖性最强的产业,又是主要污染物排放最多的产业,研究如何进行电力资源综合开发对于解决能源供给、提供能源效率、减少污染排放有着重要的意义。把电力用户节约电能、提高电能利用效率作为一种没有污染的电力资源利用,可以减少或者推迟电力投资,还可以促进发电侧资源的效率提高。我国传统的电力综合资源规划主要以经济效益最大化为目标,随着节能减排政策在电力行业的深入实施,电力综合资源开发所处的环境将会发生很大的变化,正在朝着节能源、重效率、重环保的方向发展。可见,研究节能减排约束下电力综合资源利用对于控制电力行业整体的能源消耗、污染物排放有着重要的作用。基于上述背景,本文研究了排放约束下电力综合资源利用的优化模型与方法,完成工作主要如下：
(1)总结了国内外学者在电力资源综合利用领域方面的研究成果；分析了我国高耗电地区与产品的状况,对比分析了不同能源的发电效率和经济性；剖析了我国电力产业现有的节能减排政策及其路径。
(2)针对发电侧参与电力资源利用问题,提出了发电资源规划优化模型、不同目标下多类型发电资源联合调度优化模型和多类型发电资源利润分配模型,并通过实际数据对模型进行算例模拟和政策分析。
(3)针对需求侧参与电力资源利用问题,在对比分析电力需求侧管理前后负荷曲线变化的基础上,构建了发电可避免容量成本、供电可避免容量成本、发电可避免燃料成本与环保成本优化模型,并进行算例模拟和政策分析。
(4)针对发电侧和用户侧联合参与下的电力综合资源利用问题,以大用户直购电为研究对象,分别构建了大用户向多类型发电商购电序位评价模型、大用户直购电输配电价分摊模型和大用户直购电交易撮合模型,算例结果显示,大用户向多类型发电商直接购电能够给大用户带来节约电费的利益,给发电商带来减少窝电的增量利益。
(5)在大用户向多类型发电商购电优化问题研究的基础上,进一步研究了当前国内关心的电动汽车用户节能减排问题、风电并网优化问题。在对电动汽车减排潜力和充电服务优化分析之后,构建了风电、电动汽车两种电力资源的联合优化模型,算例结果表明,资源的联合利用具有经济和环境效益。
With the rapidly development of economic, China's demand for energy and pollutant emissions show a fast rising trend. As a developing country, rapid economic development should be China's purpose, but China have to reduce energy consumption and pollutant emissions, which make China faced with the contradiction between rapid economic development and the continuously serious pollutant emissions. In order to ease the contradiction, changing the traditional resource development approach is put forward. Electrical as one of the most widely used energy and the strongest industries, study how to make electricity resource development has an important role on solving the energy supply, energy efficiency and pollutant emissions. Taking electricity consumers'saving energy and improving energy efficiency as a power resource utilization without No pollution can promote the efficiency of the power generation side resources.The target of China's traditional power integrated resource planning is to maximize the economic benefits, with the energy-saving emission reduction policies implemented in the power sector, power resources development environment will change a lot towards the direction of saving energy, the efficiency and environmental protection.Research about power resource utilization with emission reduction constraints has an important role in controlling the energy consumption and pollutant emissions of the electric power industry.Based on the above background, this paper studied the optimization models and methods of power integrated resource planning under emission reduction constraints.The completed works of this article is as follows:
(1)Summarizes the research achievements of domestic and foreign scholars in the areas of comprehensive utilization of power resources. Analyze the condition Areas of the high consumption product in China. Comparatively analysis the efficiency and economy of different energy power generation. Analyze the energy conservation policy and its path of China's electric power industry.
(2)The paper study the electricity resource utilization problem of generation side participation, put forward generation resource planning optimization model, multi-type power generation resources jointly scheduling optimization within different targets, generation resources profit distribution model of multi-type power generation resources,then,use actual data to have aanalog and policy analysis for the models.
(3)The paper study the electricity resource utilization problem of demand side participation, then construct evaluation model of generation's avoidable cost, evaluation model of power supply's avoidable cost, the avoidable fuel and environmental cost optimization model of power generation based on the analysis power load curve before and after demand side management. Numerical results show the proposed model has better economic and environmental benefits, then have aanalog and conclusion analysis for the models.
(4)In order to analyze the power integrated resource utilization problem under the generation side and the user side coropearation,the paper take the large users directly purchasing power as the object of study, respectively,construct tagmeme evaluation model for large users directly purchasing power from multiple types of power generation, tagmeme evaluation model based on the method of Ideal Point Solution and Grey Relational Degree.The numerical results show that large users directly purchasing power from multiple types of power generation can bring the interests of electricity savings to large users and the incremental benefits of reducing nest electricity to power producers.
(5)Based on the research of the large users'directly purchasing power from multiple types of power generation, the paper studies the grid-connected optimization problem of wind power and electric vehicles, then, The paper puts forward the grid-connected optimization model of wind power and electric vehicles after analysis of electric vehicles emission reduction potential and charging service optimization. Numerical results show that the electric vehicle connect-grid with wind power has significant economic and environmental benefits
(1)总结了国内外学者在电力资源综合利用领域方面的研究成果；分析了我国高耗电地区与产品的状况,对比分析了不同能源的发电效率和经济性；剖析了我国电力产业现有的节能减排政策及其路径。
(2)针对发电侧参与电力资源利用问题,提出了发电资源规划优化模型、不同目标下多类型发电资源联合调度优化模型和多类型发电资源利润分配模型,并通过实际数据对模型进行算例模拟和政策分析。
(3)针对需求侧参与电力资源利用问题,在对比分析电力需求侧管理前后负荷曲线变化的基础上,构建了发电可避免容量成本、供电可避免容量成本、发电可避免燃料成本与环保成本优化模型,并进行算例模拟和政策分析。
(4)针对发电侧和用户侧联合参与下的电力综合资源利用问题,以大用户直购电为研究对象,分别构建了大用户向多类型发电商购电序位评价模型、大用户直购电输配电价分摊模型和大用户直购电交易撮合模型,算例结果显示,大用户向多类型发电商直接购电能够给大用户带来节约电费的利益,给发电商带来减少窝电的增量利益。
(5)在大用户向多类型发电商购电优化问题研究的基础上,进一步研究了当前国内关心的电动汽车用户节能减排问题、风电并网优化问题。在对电动汽车减排潜力和充电服务优化分析之后,构建了风电、电动汽车两种电力资源的联合优化模型,算例结果表明,资源的联合利用具有经济和环境效益。
With the rapidly development of economic, China's demand for energy and pollutant emissions show a fast rising trend. As a developing country, rapid economic development should be China's purpose, but China have to reduce energy consumption and pollutant emissions, which make China faced with the contradiction between rapid economic development and the continuously serious pollutant emissions. In order to ease the contradiction, changing the traditional resource development approach is put forward. Electrical as one of the most widely used energy and the strongest industries, study how to make electricity resource development has an important role on solving the energy supply, energy efficiency and pollutant emissions. Taking electricity consumers'saving energy and improving energy efficiency as a power resource utilization without No pollution can promote the efficiency of the power generation side resources.The target of China's traditional power integrated resource planning is to maximize the economic benefits, with the energy-saving emission reduction policies implemented in the power sector, power resources development environment will change a lot towards the direction of saving energy, the efficiency and environmental protection.Research about power resource utilization with emission reduction constraints has an important role in controlling the energy consumption and pollutant emissions of the electric power industry.Based on the above background, this paper studied the optimization models and methods of power integrated resource planning under emission reduction constraints.The completed works of this article is as follows:
(1)Summarizes the research achievements of domestic and foreign scholars in the areas of comprehensive utilization of power resources. Analyze the condition Areas of the high consumption product in China. Comparatively analysis the efficiency and economy of different energy power generation. Analyze the energy conservation policy and its path of China's electric power industry.
(2)The paper study the electricity resource utilization problem of generation side participation, put forward generation resource planning optimization model, multi-type power generation resources jointly scheduling optimization within different targets, generation resources profit distribution model of multi-type power generation resources,then,use actual data to have aanalog and policy analysis for the models.
(3)The paper study the electricity resource utilization problem of demand side participation, then construct evaluation model of generation's avoidable cost, evaluation model of power supply's avoidable cost, the avoidable fuel and environmental cost optimization model of power generation based on the analysis power load curve before and after demand side management. Numerical results show the proposed model has better economic and environmental benefits, then have aanalog and conclusion analysis for the models.
(4)In order to analyze the power integrated resource utilization problem under the generation side and the user side coropearation,the paper take the large users directly purchasing power as the object of study, respectively,construct tagmeme evaluation model for large users directly purchasing power from multiple types of power generation, tagmeme evaluation model based on the method of Ideal Point Solution and Grey Relational Degree.The numerical results show that large users directly purchasing power from multiple types of power generation can bring the interests of electricity savings to large users and the incremental benefits of reducing nest electricity to power producers.
(5)Based on the research of the large users'directly purchasing power from multiple types of power generation, the paper studies the grid-connected optimization problem of wind power and electric vehicles, then, The paper puts forward the grid-connected optimization model of wind power and electric vehicles after analysis of electric vehicles emission reduction potential and charging service optimization. Numerical results show that the electric vehicle connect-grid with wind power has significant economic and environmental benefits
引文
[1]翟慧娟,刘金朋,王官庆.大型沼气发电综合利用工程效益评价研究[J].华东电力,2012,40(7)：1241-1244
[2]严干贵,刘红哲,穆钢等.特殊运行条件下风电的“挤出效应”及风电节能减排综合效益的评估[J].电网技术,2012,36(4)：51-56
[3]王敏,丁明.含大型太阳能发电系统的极限传输容量概率计算[J].电力系统自动化,2010,34(7)：31-35
[4]谭忠富,吴恩琦,鞠立伟等.区域间风电投资收益风险对比分析模型[J].电网技术,2013,37(3)：712-719
[5]余涛,童家鹏.微型燃气轮机发电系统的建模与仿真[J].电力系统保护与控制,2019,37(3)：27-32
[6]徐礼德,仝允桓.中国农村清洁能源发展分析及建议[J].中国人口·资源环境,2011,27(7)：20-27
[7]余贻鑫,栾文鹏.智能电网述评[J].中国电机工程学报,2009,29(34)：1-8
[8]宋之平.从可持续发展的战略高度重新审视热电联产[J].中国电机工程学报,1998,18(4)：225-230
[9]唐艳兵,张建国,张扬.我国热电联产集中供热的发展现状、问题与建议[J].中国能源,2008,30(10)：8-13
[10]罗必雄,梁辉热电联产成本分摊探讨[J].热力发电,2012,41(2)：4-7
[11]王振铭.我国热电联产的新发展[J].电力技术经济,2007,19(2)：47-49
[12]何丽.热电联产系统技术经济分析[D].北京：华北电力大学(北京),2005
[13]付林,江亿,张世钢.基于Co-ah循环的热电联产集中供热办法[J].清华大学学报(自然科学版),2008,48(9)：1377-1382
[14]郑楷,谢芳,周博儒.我国燃煤发电脱硫工程问题研究[J].中国电力,2009,42(12)：66-72
[15]任鑫芳.火电厂S02减排政策与脱硫电价机制研究[D].北京：华北电力大学(北京),2008
[16]蒋丛进,蒋诗远,封乾君.锅炉风机与脱硫增压风机合一技术经济分析[J].电力技术经济,2009,21(2)：31-34
[17]姚鸿男.华东区域市场发电权交易与发电公司市场策略研究[D].北京：华北电力大学(北京),2008
[18]宋晓华.基于低碳经济的发电行业节能减排路径研究[D].北京：华北电力大学(北京),2012
[19]张彩庆.电厂湿法烟气脱硫系统对环境质量改善及经济性分析[D].北京：华北电力大学(北京),2012
[20]李伟农.降低湿法脱硫烟气加热器堵塞的技术措施[J].电力与能源,2012,33(2)：148-151
[21]王雁凌,张粒子,等.基于水火电置换的发电权调节市场[J].中国电机工程学报,2006,26(5)：131-136.
[22]莫莉,周建中,李清清,吴玮,张勇传.基于委托代理模型的发电权交易模式[J].电力系统自动化,2008.32(2)：30-34
[23]伍玉林,文福拴,丁剑鹰等.基于两部制电价的发电权交易模式[J].华北电力大学学报(自然科学版),2010,31(5)：71-82
[24]姚建刚,周启亮.基于期权理论的发电权交易模型[J].中国电机工程学报,2005,25(21)：76-81.
[25]黄大为,刘志向.计及网损成本的发电权交易模式[J].电力系统自动化,2010,34(5)：38-42.
[26]张世帅,张学松,王文.发电权交易下的节能减排指标设计及应用分析[J].电网技术,2010,34(11)：156-161
[27]Sarkar V, Khaparde S A. A comprehensive assessment of the evolution of financial transmission rights[J]. Transactions on Power Systems,2008,23 (4): 1783-1795.
[28]Pritchard G, Philpott A. On financial transmission rights and market power[J]. Decision Support Systems,2005,40:507-515.
[29]肖健,文福拴.混合发电权交易市场环境下的阻塞协调调度[J].电力系统自动化,2010,34(8)：44-48.
[30]GALIANA F D, PHELAN M. Allocation of transmission losses to bilateral contracts in a competitive environment[J]. IEEE Trans on Power Systems,2000, 15(1):143-150.
[31]唐慧,高建伟.基于多目标投入产出的差别电价优化模型[J].扬州大学学报(自然科学版),2010,13(4)：46-50
[32]施应玲,孙艺新,谭忠富,庞南生.差别电价效应及影响因素的系统动力学分析[J].技术经济,2008,(8)
[33]施应玲,孙艺新,谭忠富,庞南生.差别电价传导机制及延迟性的系统动力学模拟[J].技术经济,2009,(3)：35-37
[34]姜海洋,谭忠富,胡庆辉,蔡丞恺,王舒祥.用户侧虚拟电厂对发电产业节能减排影响分析[J].中国电力,2010,43(6)：37-40
[35]Aminifar, F., Fotuhi-Firuzabad, M., Shahidehpour, M.Unit Commitment With Probabilistic Spinning Reserve and Interruptible Load Considerations[J]. IEEE Transactions on Power Systems,2009,24(1):388-397
[36]Fotuhi-Firuzabad, M., Billinton, R., Aboreshaid, S.. Response health constraints in economic load dispatch considering standby units, interruptible loads and postponable outages[J]. IEE Proceedings- Generation, Transmission and Distribution,1996,143(6):599-607
[37]谭显东,胡兆光,张克虎,李存斌,徐敏杰.构建多Agent模型研究差别电价对行业的影响[J].中南大学学报(自然科学版),2008,39(1)：172-175
[38]谭忠富,王绵斌,乞建勋.峰谷分时电价优化模型及其模糊求解方法[J].系统工程理论与实践,2008,9(9)：145-151
[39]George R. Pleat.Allowing for Off-Peak Price Incentives to Reduce Electric Vehicle Distribution Grid Congestion [J].The Electricity Journal,2012,25(6):89-97
[40]M. Parsa Moghaddam, A. Abdollahi, M. Rashidinejad.Flexible demand response programs modeling in competitive electricity markets [J].Applied Energy, 2011,88(9)3257-3269
[41]Yijia Cao. An Optimized EV Charging Model Considering TOU Price and SOC Curve[J]. Smart Grid,2012,3(1):389-393
[42]Yu Cheng.Evaluation of TOU price based on responses of customer[J]. Industrial Industrial Engineering and Engineering Management (IEEM),2010:1977-1981
[43]Jun Fang, Meimei Zhang. Establishing Power Selling Right Trading under Time-of-Use (TOU) Price System in Primary Power Markets[J]. Wireless Communications, Networking and Mobile Computing,2008:1-5
[44]陈建长,黄锟宁.基于需求侧响应的上网侧与售电侧峰谷分时电价联动机制[J].系统工程,2006,24(10)：88-91
[45]Qiuwei Wu,Lei Wang, Haozhong Cheng. Research of TOU power price based on multi-objective optimization of DSM and costs of power consumers[J].Electric Utility Deregulation, Restructuring and Power Technologies,2004,(1):343-348
[46]Qiuwei Wu, Junji Wu, Lei Wang,etal.Determination and analysis of TOU (time-of-use) power price based on DSM (demand side management) andMCP (marketing clearing price) [J].Advances in Power System Control, Operation and Management,2003,(2):705-710
[47]Jun Fang, Meimei Zhang. Establishing Power Selling Right Trading under Time-of-Use (TOU) Price System in Primary Power Markets[J]. Wireless Communications, Networking and Mobile Computing,2008:1-5
[48]陈建长,黄锟宁.基于需求侧响应的上网侧与售电侧峰谷分时电价联动机制[J].系统工程,2006,24(10)：88-91
[49]赵燕,王方胜,赵静.浅谈管理线损统计体系的建设与发展[J].电力需求侧管理,2007,9(6)：64-65
[50]江北,刘敏,陈建福等.地区电网降低电能损耗的主要措施分析[J].电网技 术,2001,25(4)：62-65
[51]陈启鑫,周天睿,康重庆等.节能发电调度的低碳化效益评估模型及其应用[J].电力系统自动化,2009,33(16)：24-29
[52]黎灿兵,刘玙,曹一家等.低碳发电调度与节能发电调度的一致性评估[J].中国电机工程学报,2011,31(31)：94-101
[53]范玉宏,张维,韩文长等.兼顾电力市场竞价的区域电网节能发电调度模型[J].电力系统保护与控制,2009,37(18)：83-92
[54]龙军,莫群芳,曾建.基于随机规划的含风电场的电力系统节能优化调度策略[J].电网技术,2011,35(9)：133-138
[55]张鹏,刘继春,吕林.基于风蓄协调的节能调度方法[J].电力系统保护与控制,2011,39(2)：29-34
[56]郑晓.含风电场的电力系统节能发电调度动态建模与智能算法研究[D].浙江大学,2010
[57]杜欣慧,孙红玲.节能发电调度机组组合算法的研究.现代电力[J],2010,27(3)：21-24
[58]赖菲,王庭飞,郭翔.火电机组节能发电调度系统研究(二)关键技术[J].发电技术论坛,2010,39(4)：83-86
[59]赖菲,王智微,郭翔.火电机组节能发电调度系统研究(一)系统概述[J].发电技术论坛,2009,38(9)：92-94
[60]赖菲,王智微,郭翔.火电机组节能发电调度系统研究(三)系统实现[J].发电技术论坛,2010,39(5)：98-100
[61]徐致远,罗先觉,牛涛.综合考虑电力市场与节能调度的火电机组组合方案[J].电力系统自动化,2009,33(22)：14-17
[62]谢国辉,张粒子,舒隽.火电机组日前节能发电调度机组组合[J].电力系统及其自动化学报,2011,23(2)：122-126
[63]张军.基于节能调度的火电机组发电调度优化研究[D].华北电力大学(北京),2010
[64]范玉宏,张维,叶永松.基于机组煤耗高低匹配替换的区域电网节能调度模型[J].电网技术,2006,33(6)：78-81
[65]陈皓勇,张森林,张尧.区域电力市场环境下节能发电调度方式[J].电网技术,2008,32(24)：16-22
[66]李清清,周建中,莫莉.基于节能调度的竞价市场厂网合作策略[J].电力系统自动化,2008,32(24)：40-44
[67]温立坚.节能发电调度.下的两部制上网电价研究[D].华南理工大学,2010
[68]董全学,居勇,曾鸣等.电力公司开展节能调度的社会效益和经济风险研究[J].改革与战略,2010,26(5)：161-164
[69]卫炜,焦莹,居勇等.节能调度下的火电机组节能减排效果研究[J].华东电力,2011,38(1)：31-33
[70]F. Azevedo, Z.A. Vale.A long-term risk management tool for electricity markets using swarm intelligence[J].Electric Power Systems Research,2010,80:380-389
[71]F.S.Wen,FelixF.Wu,Y X Ni.Generation capacity adequacy in the competitive electricity market environment[J].Electrical Power and Energy Systems,2004,26:365-372
[72]Marco Ghirardi, Giuseppe Menga, Nicola Sacco.An optimisation-oriented model of distributed supply-chain[J].Mathematics and Computers in Simulation,2008,79:937-946
[73]Yun-Hsun Huang, Jung-Hua Wu.A portfolio risk analysis on electricity supply planning[J].Energy Policy,2008,36:627-641
[74]R. Ramanathan.Comparative Risk Assessment of energy supplychnologies:a Data Envelopment Analysis approach[J].Energy,2001,26:197-203
[75]Li Li, Zhongfu Tan, Jianhui Wang.Energy conservation and emission reduction policies for the electric power industry in China[J]. Energy Policy,2011,39:3669-3679
[76]Juozas Augutis, Ricardas Krikstolaitis, Linas Martisauskas.Energy security level assessment technology[J].Applied Energy,2012,97:143-149
[77]Masaaki Bannai, Yasushi Tomita, Yasushi Ishida.Risk hedging against the fuel price fluctuation in energy service business[J].Energy,2007,32:2051-2060
[78]胡超.基于环境价值的节能发电调度环境影响评价[J].华北电力大学(北京),2009
[79]尚金成.节能发电调度的经济补偿机制研究(一)基于行政手段的经济补偿机制设计与分析[J].电力系统自动化,2009,33(2)：44-48
[80]尚金成,庞博,王清敏等.节能发电调度经济补偿机制市场模型及算法[J].电网技术,2010,34(4)：62-68
[81]邱文捷,艾欣.基于发电权集散拍卖的补偿机制[J].现代电力,2009,26(6)：83-89
[82]胡建军,胡飞雄.节能发电调度模式下有偿调峰补偿新机制[J].电力系统自动化,2009,33(10)：16-18
[83]尚金成.节能发电调度的经济补偿机制研究(二)基于市场机制的经济补偿机制设计与分析[J].电力系统自动化,2009,33(2)：46-50
[84]董军,马博,周翔.节能发电调度对电力公司的影响及补偿机制探讨[J].电力技术经济.2008,20(6)：52-56
[85]张安华.关于节能发电调度若干问题的思考[J].电力需求侧管理,2008,10(6)：4-6
[86]杨梅,王黎,马光文.节能调度对电力企业的影响及对策研究[J].水力发电,2009, 35(1)：88-91
[87]姜毅君,董倩,王小军.节能环保调度对电力公司的影响[J].电网与水力发电进展,2008,24(3)：41-44
[88]尚金成,刘志都.节能发电调度协调理论及应用[J].电力自动化设备,2009,29(6)：109-114
[89]钟海旺,康重庆,陈慧坤[J].电网技术,2008,32(23)：7-12
[90]文福拴,陈青松,褚云龙.节能调度的潜在影响及有待研究的问题[J].电力科学与技术学报,2008,23(4)：72-77
[91]Tietenberg T. Environmental and natural resource economics[M]. Boston:Addison Wesley,2003.
[92]James J. Murphy, John K. Stranlund. A laboratory investigation of compliance behavior under tradable emissions rights:Implications for targeted enforcement[J]. Journal of Environmental Economics and Management,2007,53 (2):196-212.
[93]王永,刘伟,彭茂君等.基于实时量测数据的10 kV配电网线损自动化管理系统[J].继电器,2005,35(19)：34-38
[94]廖强.基于实时数据的配电网线损分析及管理系统研究[D].重庆大学,2001
[95]王涛,张坚敏,李小平.计划线损率的计算及其评价[J].电网技术,2003,27(7)：40-43
[96]李桂鑫.基于遗传算法的RBF神经网络用于配电网线损计算[D].天津大学,2007
[97]周明,李庚银,倪以信.电力市场下电力需求侧管理实施机制初探[J].电网技术,2005,29(5)：6-11
[98]Sheldon X.C, Lou C.W, Kenneth Keng, Jiong Jiang, Feng Cheng. Time of use (TOU) rate effect using the pattern clustering method[J]. Energy,1992,17(11): 1093-1104
[99]R. deL Musgrove, H. J. Ehmke, K. J. Stocks. Optimum design and operation of ice-storage air-conditioning systems under Australian TOU tariffs[J]. Energy,1989, 14(9):525-535
[100]曾鸣,孙昕,张启平等.我国电力需求侧管理的激励机制及政策建议[J].电力需求侧管理,2003,5(2)：3-6
[101]Qiuwei Wu,Lei Wang, Haozhong Cheng. Research of TOU power price based on multi-objective optimization of DSM and costs of power consumers[J].Electric Utility Deregulation, Restructuring and Power Technologies,2004,(1):343-348
[102]Qiuwei Wu, Junji Wu, Lei Wang,etal.Determination and analysis of TOU (time-of-use) power price based on DSM (demand side management) and MCP (marketing clearing price) [J].Advances in Power System Control, Operation and Management,2003,(2):705-710
[103]Sandmo. Efficient Environmental Policy With Imperfect Compliance[J]. Environmental Resource Economics.2002,23:85-103
[104]储琳琳,张亮,倪群辉.当前电力体制下考虑需求侧管理的电网规划新思路[J].电力需求侧管理,2010,12(5)：9-14
[105]Gert Tinggaard Svendsen, Carsten Daugbjerg, Lene H. Consumers, Industrialists and the Political Economy of Green Taxation:CO2 Taxation in OECD[J]. Energy Policy,2001 (29):489-497.
[106]Leslie Shiell. Descriptive, Prescriptive and Second-best Approaches to the Control of Global Greenhouse Gas Emissions[J]. Journal of Public Economics, 2003 (87):1431-1452.
[107]Schuichi Ohori. Optimal Environmental Tax and Level of Privatization in an International Duopoly[J]. Journal of Regulatory Economics,2006 (29): 225-233.
[108]赵晓丽,张素芳.国内外电力需求侧管理措施对比研究[J].电力需求侧管理,2005,7(5)：60-62
[109]Christoph Bohringer, Klaus Conrad and Andreas Loschel. Carbon Taxes and Joint Implementation[J]. Environmental and Resource Economics,2003 (24): 49-76.
[110]HLEDIK R. How green is the smart grid [J]. The Electricity Journal,2009 (4): 29-41.
[111]KLOBASA M. Analysis of demand response and wind integration in Germany's electricity market [J]. IET Renewable Power Generation,2010,4 (1):55-63.
[112]夏德建.电动汽车研究综述[J].能源技术经济,2010,22(7)：49-54
[113]杨方,张义斌,葛旭波.中美日电动汽车发展趋势及特点分析[J].能源技术经济,2011,23(7)：40-44
[114]FINN P, FITZPATRIC C, LEAHY M. Increased penetration of wind generated electricity using real time pricing & demand side management [C]. IEEE International Symposium on Sustainable Systems and Technology. Tempe, AZ, USA:ISSST'09,2009:1-6.
[115]王相勤.当前我国电动汽车发展的瓶颈问题及对策[J].能源技术经济,2011,23(3)：1-6
[116]高赐威,张亮.电动汽车充电对电网影响的综述[J].电网技术,2011,35(2)：127-131
[117]李惠玲,白晓民.电动汽车充电对配电网的影响及对策[J].电力系统自动化,2011,35(17)：38-43
[118]MALIDIN A S, KAYSER-BRIL C, MAIZIN, et al. Assessing the impact of smart building techniques:a prospective study for France [C].2008 IEEE Energy 2030 Conference. Atlanta, GA, USA:IEEE,2008:1-7.
[119]徐立中,杨光亚,许昭.电动汽车充电负荷对丹麦配电系统的影响[J].电力系统自动化,2011,35(14)：18-23
[120]赵俊华,文福拴,杨爱民等.电动汽车对电力系统的影响及其调度与控制问题[J].电力系统自动化,2011,35(14)：2-11
[121]罗卓伟,胡泽春,宋永华等.电动汽车充电负荷计算方法[J].电力系统自动化,2011,35(14)：36-42
[122]任玉珑,史乐峰,张谦.电动汽车充电站最优分布和规模研究[J].电力系统自动化,2011,35(14)：54-58
[123]宋永华,阳岳希,胡泽春.电动汽车电池的现状及发展趋势[J].2011,35(4)：1-7
[124]SAIZMAA T, KIM Heecheol. Smart home design:home or house? [C]. Proceedings of the Third 2008 International Conference on Convergence and Hybrid Information Technology. Busan, Korea:IEEE Computer Society,2008: 143-148.
[125]陈良亮,张浩,倪峰等.电动汽车能源供给设施建设现状与发展探讨[J].电力系统自动化,2011,35(14)：11-17
[126]黄嘉兴.电动汽车产业发展路径与政策研究[D].北京交通大学,2010
[127]任玉珑,罗晓燕等.基于高低匹配的排污权交易市场机制设计[J].统计与决策,2011,(5)：60-61.
[128]李清雅,许筝等.基于流域管理的排污权交易模式研究[J].中国人口资源与环境,2010,20(3)：43-46.
[129]金帅,盛昭瀚等.区域排污权交易系统监管机制均衡分析[J].中国人口资源与环境,2011,21(3)：14-19.
[130]王珂,毕军等.排污权有偿使用政策的寻租博弈分析[J].中国人口资源与环境,2010,20(9)：95-99.
[131]WOERDMAN E. Implementing the Kyoto Protoco:1 Why JI and CDM show more promise than international emissions trading[J]. Energy Policy,2000,28 (1): 29-38.
[132]FARE R, GROSSKOPF S, PASURKA C. Environmental Production Functions and EnvironmentalDirectionalDistance Functions[J]·Energy,2007,32 (7): 1055-1066.
[133]颜蕾,彭建华.S02初始排污权分配模式研究[J].重庆理工大学学报,2010,24(10)：60-64.
[134]林涛,储益萍等.排污权交易初始分配价格的制定与调节[J].哈尔滨商业大学学报,2011,27(1)：33-36.
[135]Julien Hanoteau. The political economy of tradable emissions permits allocation[J]. Political Economy of Environment Policy,2003,24 (3):1-20.
[136]Athanasios Kampas. Selecting permit allocation rules for agricultural pollution control:A bargaining solution[J]. Ecological Economics,2003,47:135-147.
[137]Carolyn Fisher. Out-based allocations of emissions permits:Efficiency and distributional effects in a general equilibrium setting with taxes and trade[J]. Resources for the Future,2004:1-27.
[138]SOUSA J, PINTO B, ROSA N, et al. Emissions trading impact on the power industry with application to the Iberian electricity market[C]. Proceedings of IEEE Power Tech Conference, June 27-30,2005, Saint-Petersburg, Russia:1-4.
[139]LAURIKKA H, KOLJNEN T. Emissions trading and investment decisions in the power sector:a case study in Finland[J]. Energy Policy,2006,34(9):1063-1074.
[140]CHAPPIN E J L, DIJKEMA G P J. On the impact of CO2 emission-trading on power generation emissions[J]. Technological Forecasting and Social Change, 2009,76 (3):358-370.
[141]任玉珑,王昌海,等.排污权制度下的电力市场稳定性分析[J].工业工程,2009,12(1)：5-9.
[142]Crocker T. D. The Structuring of Atmospheric Pollution Control Systems[J]. The Economics of Air Pollution,1966, (5):61-86
[143]Fichtner, W. Strategic Production Management of Companies Participating in the European Greenhouse Gas Emission Allowance Trading Scheme[J]. Emission Trading and Business,2006, (S):105-117
[144]刘婧.国际碳排放权交易市场对我国的影响及启示[J].环境经济,2010,78：51-54
[145]李现忠,蔡兴国,付春梅.碳交易机制下考虑节能减排的竞价交易模式[J].电力系统自动化,2011,35(10)：48-52
[146]朱柯丁,宋艺航,谭忠富.居民生活阶梯电价设计优化模型[J].华东电力,2011,39(6)：862-866
[147]张粒子,黄海涛,归三荣.我国居民阶梯电价分段电量制定方法研究[J].价格理论与实践2003(3)：5-10
[148]曾鸣,李娜,刘超.基于效用函数的居民阶梯电价方案的节电效果评估[J].华东电力.2011,39(8)：1215-1219
[149]谭忠富,陈广娟,赵建保.以节能调度为导向的发电侧与售电侧峰谷分时电价联合优化模型[J].中国电机工程学,2009,29(1)：4-8
[150]Maria-Soledad Arellano, Pablo Serra.A model of market power in electricity industries subject to peak load pricing [J].Energy Policy,2007,35(10):5130-5135
[151]Xu Jun,Tan Zhongfu.Power Generation Exchange Optimization Model under Constrains of Energy-Saving and Emission-Reducing Among Regions[J].Computer Society,2010:5405-5408
[152]谭忠富,于超,李莉等.发电侧与供电侧联合节能与二氧化硫减排利益分配优化模型[J].系统工程理论与实践,2011,31(6)：1182-1190
[153]李俊,刘俊勇,谢连芳等.发电侧与供电侧分时电价动态博弈联动研究[J].电力自动化设备,2012,32(4)：16-19
[154]谭忠富,王绵斌,张蓉等.发电侧与供电侧峰谷分时电价联动的分级优化模型[J].电力系统自动化,2007,31(21)：26-30
[155]Didem Cinar, Gulgun Kayakutlu.Scenario analysis using Bayesian networks:A case study in energy sector[J].Knowledge-Based System.2010,23:267-276
[156]余冬先,雷霞,冯杰.发售电两侧峰谷分时电价联动模型综述[J].华电技术,2009,31(11)：77-81
[157]刘宝华,亲凤奎,单葆国.基于发电侧与销售侧峰谷电价联动的输配电监管方法研究[J].电网技术,2006,30(增刊):19-23
[158]屈志强.发电侧与销售侧峰谷电价联动方案的研究[D].华北电力大学(北京),2004
[159]何召慧.电力用户与发电企业析构式直接交易方法[D].哈尔滨工业大学,2011
[160]曾鸣,刘敏,赵庆波等.上网侧与销售侧峰分时电价联动的理论及应用[J].中国电力,2003,36(9)：70-74
[161]曾鸣,孙听,赵庆波等.上网侧和销售侧峰谷分时电价联动与整体优化的方法及实证分析[J].电力需求侧管理,2003,5(4)：9-13
[162]PARKSK, DENHOLMP, MARKELT.Costs and emissions associated with plug-in hybrid electic vehicle charging in the Xcel energy Coloradoservice territory[R/OL]. [2007-05-20]. http://www.nrel.gov/analysis/pdfs/41410.pdf
[163]DENHOLMP, SHORTW. Anevaluation of utility system impacts and benefits of optimally dispatched plug-in hybrid electic vehicles [R/OL].[2006-10-20]. http://www.nrel.gov/analysis/pdfs/40293.pdf
[2]严干贵,刘红哲,穆钢等.特殊运行条件下风电的“挤出效应”及风电节能减排综合效益的评估[J].电网技术,2012,36(4)：51-56
[3]王敏,丁明.含大型太阳能发电系统的极限传输容量概率计算[J].电力系统自动化,2010,34(7)：31-35
[4]谭忠富,吴恩琦,鞠立伟等.区域间风电投资收益风险对比分析模型[J].电网技术,2013,37(3)：712-719
[5]余涛,童家鹏.微型燃气轮机发电系统的建模与仿真[J].电力系统保护与控制,2019,37(3)：27-32
[6]徐礼德,仝允桓.中国农村清洁能源发展分析及建议[J].中国人口·资源环境,2011,27(7)：20-27
[7]余贻鑫,栾文鹏.智能电网述评[J].中国电机工程学报,2009,29(34)：1-8
[8]宋之平.从可持续发展的战略高度重新审视热电联产[J].中国电机工程学报,1998,18(4)：225-230
[9]唐艳兵,张建国,张扬.我国热电联产集中供热的发展现状、问题与建议[J].中国能源,2008,30(10)：8-13
[10]罗必雄,梁辉热电联产成本分摊探讨[J].热力发电,2012,41(2)：4-7
[11]王振铭.我国热电联产的新发展[J].电力技术经济,2007,19(2)：47-49
[12]何丽.热电联产系统技术经济分析[D].北京：华北电力大学(北京),2005
[13]付林,江亿,张世钢.基于Co-ah循环的热电联产集中供热办法[J].清华大学学报(自然科学版),2008,48(9)：1377-1382
[14]郑楷,谢芳,周博儒.我国燃煤发电脱硫工程问题研究[J].中国电力,2009,42(12)：66-72
[15]任鑫芳.火电厂S02减排政策与脱硫电价机制研究[D].北京：华北电力大学(北京),2008
[16]蒋丛进,蒋诗远,封乾君.锅炉风机与脱硫增压风机合一技术经济分析[J].电力技术经济,2009,21(2)：31-34
[17]姚鸿男.华东区域市场发电权交易与发电公司市场策略研究[D].北京：华北电力大学(北京),2008
[18]宋晓华.基于低碳经济的发电行业节能减排路径研究[D].北京：华北电力大学(北京),2012
[19]张彩庆.电厂湿法烟气脱硫系统对环境质量改善及经济性分析[D].北京：华北电力大学(北京),2012
[20]李伟农.降低湿法脱硫烟气加热器堵塞的技术措施[J].电力与能源,2012,33(2)：148-151
[21]王雁凌,张粒子,等.基于水火电置换的发电权调节市场[J].中国电机工程学报,2006,26(5)：131-136.
[22]莫莉,周建中,李清清,吴玮,张勇传.基于委托代理模型的发电权交易模式[J].电力系统自动化,2008.32(2)：30-34
[23]伍玉林,文福拴,丁剑鹰等.基于两部制电价的发电权交易模式[J].华北电力大学学报(自然科学版),2010,31(5)：71-82
[24]姚建刚,周启亮.基于期权理论的发电权交易模型[J].中国电机工程学报,2005,25(21)：76-81.
[25]黄大为,刘志向.计及网损成本的发电权交易模式[J].电力系统自动化,2010,34(5)：38-42.
[26]张世帅,张学松,王文.发电权交易下的节能减排指标设计及应用分析[J].电网技术,2010,34(11)：156-161
[27]Sarkar V, Khaparde S A. A comprehensive assessment of the evolution of financial transmission rights[J]. Transactions on Power Systems,2008,23 (4): 1783-1795.
[28]Pritchard G, Philpott A. On financial transmission rights and market power[J]. Decision Support Systems,2005,40:507-515.
[29]肖健,文福拴.混合发电权交易市场环境下的阻塞协调调度[J].电力系统自动化,2010,34(8)：44-48.
[30]GALIANA F D, PHELAN M. Allocation of transmission losses to bilateral contracts in a competitive environment[J]. IEEE Trans on Power Systems,2000, 15(1):143-150.
[31]唐慧,高建伟.基于多目标投入产出的差别电价优化模型[J].扬州大学学报(自然科学版),2010,13(4)：46-50
[32]施应玲,孙艺新,谭忠富,庞南生.差别电价效应及影响因素的系统动力学分析[J].技术经济,2008,(8)
[33]施应玲,孙艺新,谭忠富,庞南生.差别电价传导机制及延迟性的系统动力学模拟[J].技术经济,2009,(3)：35-37
[34]姜海洋,谭忠富,胡庆辉,蔡丞恺,王舒祥.用户侧虚拟电厂对发电产业节能减排影响分析[J].中国电力,2010,43(6)：37-40
[35]Aminifar, F., Fotuhi-Firuzabad, M., Shahidehpour, M.Unit Commitment With Probabilistic Spinning Reserve and Interruptible Load Considerations[J]. IEEE Transactions on Power Systems,2009,24(1):388-397
[36]Fotuhi-Firuzabad, M., Billinton, R., Aboreshaid, S.. Response health constraints in economic load dispatch considering standby units, interruptible loads and postponable outages[J]. IEE Proceedings- Generation, Transmission and Distribution,1996,143(6):599-607
[37]谭显东,胡兆光,张克虎,李存斌,徐敏杰.构建多Agent模型研究差别电价对行业的影响[J].中南大学学报(自然科学版),2008,39(1)：172-175
[38]谭忠富,王绵斌,乞建勋.峰谷分时电价优化模型及其模糊求解方法[J].系统工程理论与实践,2008,9(9)：145-151
[39]George R. Pleat.Allowing for Off-Peak Price Incentives to Reduce Electric Vehicle Distribution Grid Congestion [J].The Electricity Journal,2012,25(6):89-97
[40]M. Parsa Moghaddam, A. Abdollahi, M. Rashidinejad.Flexible demand response programs modeling in competitive electricity markets [J].Applied Energy, 2011,88(9)3257-3269
[41]Yijia Cao. An Optimized EV Charging Model Considering TOU Price and SOC Curve[J]. Smart Grid,2012,3(1):389-393
[42]Yu Cheng.Evaluation of TOU price based on responses of customer[J]. Industrial Industrial Engineering and Engineering Management (IEEM),2010:1977-1981
[43]Jun Fang, Meimei Zhang. Establishing Power Selling Right Trading under Time-of-Use (TOU) Price System in Primary Power Markets[J]. Wireless Communications, Networking and Mobile Computing,2008:1-5
[44]陈建长,黄锟宁.基于需求侧响应的上网侧与售电侧峰谷分时电价联动机制[J].系统工程,2006,24(10)：88-91
[45]Qiuwei Wu,Lei Wang, Haozhong Cheng. Research of TOU power price based on multi-objective optimization of DSM and costs of power consumers[J].Electric Utility Deregulation, Restructuring and Power Technologies,2004,(1):343-348
[46]Qiuwei Wu, Junji Wu, Lei Wang,etal.Determination and analysis of TOU (time-of-use) power price based on DSM (demand side management) andMCP (marketing clearing price) [J].Advances in Power System Control, Operation and Management,2003,(2):705-710
[47]Jun Fang, Meimei Zhang. Establishing Power Selling Right Trading under Time-of-Use (TOU) Price System in Primary Power Markets[J]. Wireless Communications, Networking and Mobile Computing,2008:1-5
[48]陈建长,黄锟宁.基于需求侧响应的上网侧与售电侧峰谷分时电价联动机制[J].系统工程,2006,24(10)：88-91
[49]赵燕,王方胜,赵静.浅谈管理线损统计体系的建设与发展[J].电力需求侧管理,2007,9(6)：64-65
[50]江北,刘敏,陈建福等.地区电网降低电能损耗的主要措施分析[J].电网技 术,2001,25(4)：62-65
[51]陈启鑫,周天睿,康重庆等.节能发电调度的低碳化效益评估模型及其应用[J].电力系统自动化,2009,33(16)：24-29
[52]黎灿兵,刘玙,曹一家等.低碳发电调度与节能发电调度的一致性评估[J].中国电机工程学报,2011,31(31)：94-101
[53]范玉宏,张维,韩文长等.兼顾电力市场竞价的区域电网节能发电调度模型[J].电力系统保护与控制,2009,37(18)：83-92
[54]龙军,莫群芳,曾建.基于随机规划的含风电场的电力系统节能优化调度策略[J].电网技术,2011,35(9)：133-138
[55]张鹏,刘继春,吕林.基于风蓄协调的节能调度方法[J].电力系统保护与控制,2011,39(2)：29-34
[56]郑晓.含风电场的电力系统节能发电调度动态建模与智能算法研究[D].浙江大学,2010
[57]杜欣慧,孙红玲.节能发电调度机组组合算法的研究.现代电力[J],2010,27(3)：21-24
[58]赖菲,王庭飞,郭翔.火电机组节能发电调度系统研究(二)关键技术[J].发电技术论坛,2010,39(4)：83-86
[59]赖菲,王智微,郭翔.火电机组节能发电调度系统研究(一)系统概述[J].发电技术论坛,2009,38(9)：92-94
[60]赖菲,王智微,郭翔.火电机组节能发电调度系统研究(三)系统实现[J].发电技术论坛,2010,39(5)：98-100
[61]徐致远,罗先觉,牛涛.综合考虑电力市场与节能调度的火电机组组合方案[J].电力系统自动化,2009,33(22)：14-17
[62]谢国辉,张粒子,舒隽.火电机组日前节能发电调度机组组合[J].电力系统及其自动化学报,2011,23(2)：122-126
[63]张军.基于节能调度的火电机组发电调度优化研究[D].华北电力大学(北京),2010
[64]范玉宏,张维,叶永松.基于机组煤耗高低匹配替换的区域电网节能调度模型[J].电网技术,2006,33(6)：78-81
[65]陈皓勇,张森林,张尧.区域电力市场环境下节能发电调度方式[J].电网技术,2008,32(24)：16-22
[66]李清清,周建中,莫莉.基于节能调度的竞价市场厂网合作策略[J].电力系统自动化,2008,32(24)：40-44
[67]温立坚.节能发电调度.下的两部制上网电价研究[D].华南理工大学,2010
[68]董全学,居勇,曾鸣等.电力公司开展节能调度的社会效益和经济风险研究[J].改革与战略,2010,26(5)：161-164
[69]卫炜,焦莹,居勇等.节能调度下的火电机组节能减排效果研究[J].华东电力,2011,38(1)：31-33
[70]F. Azevedo, Z.A. Vale.A long-term risk management tool for electricity markets using swarm intelligence[J].Electric Power Systems Research,2010,80:380-389
[71]F.S.Wen,FelixF.Wu,Y X Ni.Generation capacity adequacy in the competitive electricity market environment[J].Electrical Power and Energy Systems,2004,26:365-372
[72]Marco Ghirardi, Giuseppe Menga, Nicola Sacco.An optimisation-oriented model of distributed supply-chain[J].Mathematics and Computers in Simulation,2008,79:937-946
[73]Yun-Hsun Huang, Jung-Hua Wu.A portfolio risk analysis on electricity supply planning[J].Energy Policy,2008,36:627-641
[74]R. Ramanathan.Comparative Risk Assessment of energy supplychnologies:a Data Envelopment Analysis approach[J].Energy,2001,26:197-203
[75]Li Li, Zhongfu Tan, Jianhui Wang.Energy conservation and emission reduction policies for the electric power industry in China[J]. Energy Policy,2011,39:3669-3679
[76]Juozas Augutis, Ricardas Krikstolaitis, Linas Martisauskas.Energy security level assessment technology[J].Applied Energy,2012,97:143-149
[77]Masaaki Bannai, Yasushi Tomita, Yasushi Ishida.Risk hedging against the fuel price fluctuation in energy service business[J].Energy,2007,32:2051-2060
[78]胡超.基于环境价值的节能发电调度环境影响评价[J].华北电力大学(北京),2009
[79]尚金成.节能发电调度的经济补偿机制研究(一)基于行政手段的经济补偿机制设计与分析[J].电力系统自动化,2009,33(2)：44-48
[80]尚金成,庞博,王清敏等.节能发电调度经济补偿机制市场模型及算法[J].电网技术,2010,34(4)：62-68
[81]邱文捷,艾欣.基于发电权集散拍卖的补偿机制[J].现代电力,2009,26(6)：83-89
[82]胡建军,胡飞雄.节能发电调度模式下有偿调峰补偿新机制[J].电力系统自动化,2009,33(10)：16-18
[83]尚金成.节能发电调度的经济补偿机制研究(二)基于市场机制的经济补偿机制设计与分析[J].电力系统自动化,2009,33(2)：46-50
[84]董军,马博,周翔.节能发电调度对电力公司的影响及补偿机制探讨[J].电力技术经济.2008,20(6)：52-56
[85]张安华.关于节能发电调度若干问题的思考[J].电力需求侧管理,2008,10(6)：4-6
[86]杨梅,王黎,马光文.节能调度对电力企业的影响及对策研究[J].水力发电,2009, 35(1)：88-91
[87]姜毅君,董倩,王小军.节能环保调度对电力公司的影响[J].电网与水力发电进展,2008,24(3)：41-44
[88]尚金成,刘志都.节能发电调度协调理论及应用[J].电力自动化设备,2009,29(6)：109-114
[89]钟海旺,康重庆,陈慧坤[J].电网技术,2008,32(23)：7-12
[90]文福拴,陈青松,褚云龙.节能调度的潜在影响及有待研究的问题[J].电力科学与技术学报,2008,23(4)：72-77
[91]Tietenberg T. Environmental and natural resource economics[M]. Boston:Addison Wesley,2003.
[92]James J. Murphy, John K. Stranlund. A laboratory investigation of compliance behavior under tradable emissions rights:Implications for targeted enforcement[J]. Journal of Environmental Economics and Management,2007,53 (2):196-212.
[93]王永,刘伟,彭茂君等.基于实时量测数据的10 kV配电网线损自动化管理系统[J].继电器,2005,35(19)：34-38
[94]廖强.基于实时数据的配电网线损分析及管理系统研究[D].重庆大学,2001
[95]王涛,张坚敏,李小平.计划线损率的计算及其评价[J].电网技术,2003,27(7)：40-43
[96]李桂鑫.基于遗传算法的RBF神经网络用于配电网线损计算[D].天津大学,2007
[97]周明,李庚银,倪以信.电力市场下电力需求侧管理实施机制初探[J].电网技术,2005,29(5)：6-11
[98]Sheldon X.C, Lou C.W, Kenneth Keng, Jiong Jiang, Feng Cheng. Time of use (TOU) rate effect using the pattern clustering method[J]. Energy,1992,17(11): 1093-1104
[99]R. deL Musgrove, H. J. Ehmke, K. J. Stocks. Optimum design and operation of ice-storage air-conditioning systems under Australian TOU tariffs[J]. Energy,1989, 14(9):525-535
[100]曾鸣,孙昕,张启平等.我国电力需求侧管理的激励机制及政策建议[J].电力需求侧管理,2003,5(2)：3-6
[101]Qiuwei Wu,Lei Wang, Haozhong Cheng. Research of TOU power price based on multi-objective optimization of DSM and costs of power consumers[J].Electric Utility Deregulation, Restructuring and Power Technologies,2004,(1):343-348
[102]Qiuwei Wu, Junji Wu, Lei Wang,etal.Determination and analysis of TOU (time-of-use) power price based on DSM (demand side management) and MCP (marketing clearing price) [J].Advances in Power System Control, Operation and Management,2003,(2):705-710
[103]Sandmo. Efficient Environmental Policy With Imperfect Compliance[J]. Environmental Resource Economics.2002,23:85-103
[104]储琳琳,张亮,倪群辉.当前电力体制下考虑需求侧管理的电网规划新思路[J].电力需求侧管理,2010,12(5)：9-14
[105]Gert Tinggaard Svendsen, Carsten Daugbjerg, Lene H. Consumers, Industrialists and the Political Economy of Green Taxation:CO2 Taxation in OECD[J]. Energy Policy,2001 (29):489-497.
[106]Leslie Shiell. Descriptive, Prescriptive and Second-best Approaches to the Control of Global Greenhouse Gas Emissions[J]. Journal of Public Economics, 2003 (87):1431-1452.
[107]Schuichi Ohori. Optimal Environmental Tax and Level of Privatization in an International Duopoly[J]. Journal of Regulatory Economics,2006 (29): 225-233.
[108]赵晓丽,张素芳.国内外电力需求侧管理措施对比研究[J].电力需求侧管理,2005,7(5)：60-62
[109]Christoph Bohringer, Klaus Conrad and Andreas Loschel. Carbon Taxes and Joint Implementation[J]. Environmental and Resource Economics,2003 (24): 49-76.
[110]HLEDIK R. How green is the smart grid [J]. The Electricity Journal,2009 (4): 29-41.
[111]KLOBASA M. Analysis of demand response and wind integration in Germany's electricity market [J]. IET Renewable Power Generation,2010,4 (1):55-63.
[112]夏德建.电动汽车研究综述[J].能源技术经济,2010,22(7)：49-54
[113]杨方,张义斌,葛旭波.中美日电动汽车发展趋势及特点分析[J].能源技术经济,2011,23(7)：40-44
[114]FINN P, FITZPATRIC C, LEAHY M. Increased penetration of wind generated electricity using real time pricing & demand side management [C]. IEEE International Symposium on Sustainable Systems and Technology. Tempe, AZ, USA:ISSST'09,2009:1-6.
[115]王相勤.当前我国电动汽车发展的瓶颈问题及对策[J].能源技术经济,2011,23(3)：1-6
[116]高赐威,张亮.电动汽车充电对电网影响的综述[J].电网技术,2011,35(2)：127-131
[117]李惠玲,白晓民.电动汽车充电对配电网的影响及对策[J].电力系统自动化,2011,35(17)：38-43
[118]MALIDIN A S, KAYSER-BRIL C, MAIZIN, et al. Assessing the impact of smart building techniques:a prospective study for France [C].2008 IEEE Energy 2030 Conference. Atlanta, GA, USA:IEEE,2008:1-7.
[119]徐立中,杨光亚,许昭.电动汽车充电负荷对丹麦配电系统的影响[J].电力系统自动化,2011,35(14)：18-23
[120]赵俊华,文福拴,杨爱民等.电动汽车对电力系统的影响及其调度与控制问题[J].电力系统自动化,2011,35(14)：2-11
[121]罗卓伟,胡泽春,宋永华等.电动汽车充电负荷计算方法[J].电力系统自动化,2011,35(14)：36-42
[122]任玉珑,史乐峰,张谦.电动汽车充电站最优分布和规模研究[J].电力系统自动化,2011,35(14)：54-58
[123]宋永华,阳岳希,胡泽春.电动汽车电池的现状及发展趋势[J].2011,35(4)：1-7
[124]SAIZMAA T, KIM Heecheol. Smart home design:home or house? [C]. Proceedings of the Third 2008 International Conference on Convergence and Hybrid Information Technology. Busan, Korea:IEEE Computer Society,2008: 143-148.
[125]陈良亮,张浩,倪峰等.电动汽车能源供给设施建设现状与发展探讨[J].电力系统自动化,2011,35(14)：11-17
[126]黄嘉兴.电动汽车产业发展路径与政策研究[D].北京交通大学,2010
[127]任玉珑,罗晓燕等.基于高低匹配的排污权交易市场机制设计[J].统计与决策,2011,(5)：60-61.
[128]李清雅,许筝等.基于流域管理的排污权交易模式研究[J].中国人口资源与环境,2010,20(3)：43-46.
[129]金帅,盛昭瀚等.区域排污权交易系统监管机制均衡分析[J].中国人口资源与环境,2011,21(3)：14-19.
[130]王珂,毕军等.排污权有偿使用政策的寻租博弈分析[J].中国人口资源与环境,2010,20(9)：95-99.
[131]WOERDMAN E. Implementing the Kyoto Protoco:1 Why JI and CDM show more promise than international emissions trading[J]. Energy Policy,2000,28 (1): 29-38.
[132]FARE R, GROSSKOPF S, PASURKA C. Environmental Production Functions and EnvironmentalDirectionalDistance Functions[J]·Energy,2007,32 (7): 1055-1066.
[133]颜蕾,彭建华.S02初始排污权分配模式研究[J].重庆理工大学学报,2010,24(10)：60-64.
[134]林涛,储益萍等.排污权交易初始分配价格的制定与调节[J].哈尔滨商业大学学报,2011,27(1)：33-36.
[135]Julien Hanoteau. The political economy of tradable emissions permits allocation[J]. Political Economy of Environment Policy,2003,24 (3):1-20.
[136]Athanasios Kampas. Selecting permit allocation rules for agricultural pollution control:A bargaining solution[J]. Ecological Economics,2003,47:135-147.
[137]Carolyn Fisher. Out-based allocations of emissions permits:Efficiency and distributional effects in a general equilibrium setting with taxes and trade[J]. Resources for the Future,2004:1-27.
[138]SOUSA J, PINTO B, ROSA N, et al. Emissions trading impact on the power industry with application to the Iberian electricity market[C]. Proceedings of IEEE Power Tech Conference, June 27-30,2005, Saint-Petersburg, Russia:1-4.
[139]LAURIKKA H, KOLJNEN T. Emissions trading and investment decisions in the power sector:a case study in Finland[J]. Energy Policy,2006,34(9):1063-1074.
[140]CHAPPIN E J L, DIJKEMA G P J. On the impact of CO2 emission-trading on power generation emissions[J]. Technological Forecasting and Social Change, 2009,76 (3):358-370.
[141]任玉珑,王昌海,等.排污权制度下的电力市场稳定性分析[J].工业工程,2009,12(1)：5-9.
[142]Crocker T. D. The Structuring of Atmospheric Pollution Control Systems[J]. The Economics of Air Pollution,1966, (5):61-86
[143]Fichtner, W. Strategic Production Management of Companies Participating in the European Greenhouse Gas Emission Allowance Trading Scheme[J]. Emission Trading and Business,2006, (S):105-117
[144]刘婧.国际碳排放权交易市场对我国的影响及启示[J].环境经济,2010,78：51-54
[145]李现忠,蔡兴国,付春梅.碳交易机制下考虑节能减排的竞价交易模式[J].电力系统自动化,2011,35(10)：48-52
[146]朱柯丁,宋艺航,谭忠富.居民生活阶梯电价设计优化模型[J].华东电力,2011,39(6)：862-866
[147]张粒子,黄海涛,归三荣.我国居民阶梯电价分段电量制定方法研究[J].价格理论与实践2003(3)：5-10
[148]曾鸣,李娜,刘超.基于效用函数的居民阶梯电价方案的节电效果评估[J].华东电力.2011,39(8)：1215-1219
[149]谭忠富,陈广娟,赵建保.以节能调度为导向的发电侧与售电侧峰谷分时电价联合优化模型[J].中国电机工程学,2009,29(1)：4-8
[150]Maria-Soledad Arellano, Pablo Serra.A model of market power in electricity industries subject to peak load pricing [J].Energy Policy,2007,35(10):5130-5135
[151]Xu Jun,Tan Zhongfu.Power Generation Exchange Optimization Model under Constrains of Energy-Saving and Emission-Reducing Among Regions[J].Computer Society,2010:5405-5408
[152]谭忠富,于超,李莉等.发电侧与供电侧联合节能与二氧化硫减排利益分配优化模型[J].系统工程理论与实践,2011,31(6)：1182-1190
[153]李俊,刘俊勇,谢连芳等.发电侧与供电侧分时电价动态博弈联动研究[J].电力自动化设备,2012,32(4)：16-19
[154]谭忠富,王绵斌,张蓉等.发电侧与供电侧峰谷分时电价联动的分级优化模型[J].电力系统自动化,2007,31(21)：26-30
[155]Didem Cinar, Gulgun Kayakutlu.Scenario analysis using Bayesian networks:A case study in energy sector[J].Knowledge-Based System.2010,23:267-276
[156]余冬先,雷霞,冯杰.发售电两侧峰谷分时电价联动模型综述[J].华电技术,2009,31(11)：77-81
[157]刘宝华,亲凤奎,单葆国.基于发电侧与销售侧峰谷电价联动的输配电监管方法研究[J].电网技术,2006,30(增刊):19-23
[158]屈志强.发电侧与销售侧峰谷电价联动方案的研究[D].华北电力大学(北京),2004
[159]何召慧.电力用户与发电企业析构式直接交易方法[D].哈尔滨工业大学,2011
[160]曾鸣,刘敏,赵庆波等.上网侧与销售侧峰分时电价联动的理论及应用[J].中国电力,2003,36(9)：70-74
[161]曾鸣,孙听,赵庆波等.上网侧和销售侧峰谷分时电价联动与整体优化的方法及实证分析[J].电力需求侧管理,2003,5(4)：9-13
[162]PARKSK, DENHOLMP, MARKELT.Costs and emissions associated with plug-in hybrid electic vehicle charging in the Xcel energy Coloradoservice territory[R/OL]. [2007-05-20]. http://www.nrel.gov/analysis/pdfs/41410.pdf
[163]DENHOLMP, SHORTW. Anevaluation of utility system impacts and benefits of optimally dispatched plug-in hybrid electic vehicles [R/OL].[2006-10-20]. http://www.nrel.gov/analysis/pdfs/40293.pdf
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |