基于模糊密度K-medoids聚类和NSGA-Ⅱ算法的绿色分时电价优化研究
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摘要
立足可再生能源配额制研究背景,将分时电价与绿色证书机制相结合,提出一种包含分时电力交易和绿色证书交易的绿色分时电价机制。深入分析了绿色分时电价机制下用户需求响应,构建了基于模糊密度Kmedoids聚类的峰谷平阶段划分模型,以峰谷差为优化目标的基于NSGA-Ⅱ算法的绿色分时电价优化模型。优化结果显示,绿色分时电价能更好地调动起电力用户改变用电习惯的积极性,在削峰填谷的同时促进可再生能源的发展。
Based on the background of renewable portfolio standard, this paper proposes tradable green certificate-time-of-use electricity price mechanism, deeply analyzes the user demand response with the electricity price mechanism, and establishes peakvalley-flat time-period partitioning model based on fuzzy density K-medoids algorithm. After that, with the aim of optimizing peakvalley difference, this paper builds green time-of-use electricity price optimization model based on NSGA-II algorithm. The optimization results show that the tradable green certificate-time-of-use electricity price can better mobilize the user's initiative of changing their energy consumption custom, and promote peak load shaving as well as renewable energy development.
Based on the background of renewable portfolio standard, this paper proposes tradable green certificate-time-of-use electricity price mechanism, deeply analyzes the user demand response with the electricity price mechanism, and establishes peakvalley-flat time-period partitioning model based on fuzzy density K-medoids algorithm. After that, with the aim of optimizing peakvalley difference, this paper builds green time-of-use electricity price optimization model based on NSGA-II algorithm. The optimization results show that the tradable green certificate-time-of-use electricity price can better mobilize the user's initiative of changing their energy consumption custom, and promote peak load shaving as well as renewable energy development.
引文
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[14]乔慧婷.基于密度聚类的峰谷时段划分方法研究[D].北京:华北电力大学,2011.
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[16]谢季坚,刘承平.模糊数学方法及其应用[M].武汉:华中科技大学出版社,2006.
[17]王敏,耿照江,茅鑫同.考虑可再生能源出力与负荷相关性的发电系统可靠性分析[J].陕西电力,2017, 45(2):26-30.
[18]张刘冬,丁昊,袁晓冬,等.考虑价格需求响应的主动配电网动态经济调度[J].电力工程技术,2017, 36(4):31-35.
[19]张福民.基于改进NSGA-II算法的微网交互式多目标优化[J].电力系统保护与控制,2018, 46(12):24-31.
[20]李东东,王博伦,刘洋.用户侧用电需求响应行为研究[J].供用电,2018, 35(4):14-19.
[2]赵盛楠,王蓓蓓,李扬,等.基于系统动力学的分布式可再生能源激励机制分析[J].电力系统自动化,2017,41(24):97-104,128.ZHAO Shengnan, WANG Beibei, LI Yang, et al. System dynamics based analysis on incentive mechanism of distributed renewable energy resources[J]. Automation of Electric Power Systems, 2017, 41(24):97-104,128.
[3]冯奕,刘秋华,刘颖,等.中国售电侧可再生能源配额制设计探索[J].电力系统自动化,2017,41(24):137-141,158.FENG Yi, LIU Qiuhua, LIU Ying, et al. Design and exploration of renewable portfolio standard in power demand side in China[J]. Automation of Electric Power Systems, 2017, 41(24):137-141,158.
[4]国家发展改革委.关于试行可再生能源绿色电力证书核发及自愿认购交易制度的通知[EB/OL].[2017-02-03]. http://www.gov.cn/xinwen/2017-02/03/content-164836.htm.
[5]任东明.可再生能源配额制政策研究[M].北京:中国经济出版社,2013.
[6]曾鸣.电力需求侧管理[M].北京:中国电力出版社,2001.
[7]杨健维,苟方杰,黄宇,等.基于不确定性测度的居民小区电动汽车充电分时电价制定策略[J].电网技术,2018, 42(1):96-102.YANG Jianwei, GOU Fangjie, HUANG Yu, et al.Residential area electric vehicle charging pricing strategy based on uncertainty measure[J]. Power System Technology, 2018, 42(1):96-102.
[8]魏大钧,张承慧,孙波,等.基于分时电价的电动汽车充放电多目标优化调度[J].电网技术,2014, 38(11):2972-2977.WEI Dajun, ZHANG Chenghui, SUN Bo, et al. A timeof-use price based multi-objective optimal dispatching for charging and discharging of electric vehicles[J]. Power System Technology, 2014, 38(11):2972-2977.
[9]李世楠.基于PSO算法的DSM分时电价定价设计[D].哈尔滨:哈尔滨理工大学,2017.
[10]刘继东,韩学山,韩伟吉,等.分时电价下用户响应行为的模型与算法[J].电网技术,2013, 37(10):2973-2978.LIU Jidong, HAN Xueshan, HAN Weiji, et al. Modeland algorithm of customers'responsive behavior under time-of-use price[J]. Power System Technology, 2013, 37(10):2973-2978.
[11]刘严,谭忠富,乞建勋.峰谷分时电价设计的优化模型[J].中国管理科学,2005,13(5):87-92.LIU Yan, TAN Zhongfu, QI Jianxun. Research on TOU rate design optimization model[J]. Chinese Journal of Management Science, 2005,13(5):87-92.
[12]陆海,彭晓涛,张彬,等.考虑分布式电源并网不确定性的需求侧分时电价运营策略[J].电力建设,2017, 38(1):144-150.LU Hai, PENG Xiaotao, ZHANG Bin, et al. Operation strategy of time-of-use electricity price for demand side considering output uncertainty of grid-connected distributed energy resource[J]. Electric Power Construction, 2017,38(1):144-150.
[13]罗伶.基于模糊c均值聚类的分类分时电价研究[D].济南:山东大学,2013.
[14]乔慧婷.基于密度聚类的峰谷时段划分方法研究[D].北京:华北电力大学,2011.
[15] ARDHANARI M. Consumer behavior in selecting retail format:The perspective of theory of planned behavior[J].IOSR Journal of Business and Management, 2013,7(5):17-23.
[16]谢季坚,刘承平.模糊数学方法及其应用[M].武汉:华中科技大学出版社,2006.
[17]王敏,耿照江,茅鑫同.考虑可再生能源出力与负荷相关性的发电系统可靠性分析[J].陕西电力,2017, 45(2):26-30.
[18]张刘冬,丁昊,袁晓冬,等.考虑价格需求响应的主动配电网动态经济调度[J].电力工程技术,2017, 36(4):31-35.
[19]张福民.基于改进NSGA-II算法的微网交互式多目标优化[J].电力系统保护与控制,2018, 46(12):24-31.
[20]李东东,王博伦,刘洋.用户侧用电需求响应行为研究[J].供用电,2018, 35(4):14-19.