含换电船舶电能输运航路的远洋海岛群混合电能传输网络规划
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摘要
现有远洋海岛屿电网之间缺乏有效的联络,仅采用海底电缆的互联方式,工程可行性与经济性欠佳。因此,该文提出采用换电船舶(power exchanging watercraft,PEW)电能输运航路代替部分海底电缆的形式,构建远洋海岛群混合电能的传输网络。首先建立PEW航路电能传输模型,分析其能量传输效率与成本;然后结合多场景生成及聚类方法,以网络综合成本最小为目标,并计及极端气象场景下电能网络的额外供电成本,建立含PEW航路混合电能传输网络的规划模型,并采用混沌引力搜索算法优化求解,仿真结果验证了所提方法的可行性与有效性。
There is a lack of effective liaison among pelagic islands, however, an interconnection mode by submarine cables is not feasible or economical. In this paper,we propose to replace some of submarine cables with power exchanging watercraft(PEW) routes and establish a hybrid power transmission network among pelagic islands. First, a PEW route was modeled to analyze the transmission efficiency and cost. Then, a hybrid power transmission network planning model was proposed based on multi-scene generation and scene clustering. The objective function was the minimum overall cost considering the additional power supply cost under extreme weather scenario. The model was optimized by chaotic gravitational search algorithm. The feasibility and effectiveness of the proposed method are verified through simulation results.
There is a lack of effective liaison among pelagic islands, however, an interconnection mode by submarine cables is not feasible or economical. In this paper,we propose to replace some of submarine cables with power exchanging watercraft(PEW) routes and establish a hybrid power transmission network among pelagic islands. First, a PEW route was modeled to analyze the transmission efficiency and cost. Then, a hybrid power transmission network planning model was proposed based on multi-scene generation and scene clustering. The objective function was the minimum overall cost considering the additional power supply cost under extreme weather scenario. The model was optimized by chaotic gravitational search algorithm. The feasibility and effectiveness of the proposed method are verified through simulation results.
引文
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[2]李程,李剑,崔芳芳.舟山海岛电网规划方案探讨[J].浙江电力,2011,30(6):4-8.Li Cheng,Li Jian,Cui Fangfang.Exploration on power grid planning of Zhoushan islands[J].Zhejiang Electric Power,2011,30(6):4-8(in Chinese).
[3]刘会勇.基于架空线与海缆供电的海岛电网变电站备自投实现方式[J].电气技术,2012(8):73-76.Liu Huiyong.The research of substation automatic input strategy in island grid powered with overhead lines and submarine cable[J].Electrical Engineering,2012(8):73-76(in Chinese).
[4]洪绍云,程浩忠,曾平良,等.基于相关场景聚类的发输电联合扩展规划[J].电力系统自动化,2016,40(22):71-76.Hong Shaoyun,Chen Haozhong,Zeng Pingliang,et al.Coordinated generation and transmission expansion planning with clusters of correlative scenarios[J].Automation of Electric Power Systems,2016,40(22):71-76(in Chinese).
[5]黄裕春,杨甲甲,文福拴,等.计及接纳间歇性电源能力的输电系统规划方法[J].电力系统自动化,2013,37(4):28-34.Huang Yuchen,Yang Jiajia,Wen Fushuan,et al.Transmission system planning considering capability of accommodating intermittent generation sources[J].Automation of Electric Power Systems,2013,37(4):28-34(in Chinese).
[6]周金辉,余贻鑫,曾沅.大规模风电接入下输电网扩展规划的启发式优化算法[J].电力系统自动化,2011,35(22):66-70.Zhou Jinhui,Yu Yixin,Zeng Yuan.Heuristic optimization algorithm for transmission network expansion planning with large-scale wind power integration[J].Automation of Electric Power Systems,2011,35(22):66-70(in Chinese).
[7]Jabr R A.Robust Transmission Network Expansion planning with uncertain renewable generation and loads[J].IEEE Transactions on Power Systems,2013,28(4):4558-4567.
[8]Dehghan S,Amjady N,Conejo A J.Adaptive robust transmission expansion planning using linear decision rules[J].IEEE Transactions on Power Systems,2017,32(5):4024-4034.
[9]彭春华,于蓉,孙惠娟.基于K-均值聚类多场景时序特性分析的分布式电源多目标规划[J].电力自动化设备,2015,35(10):58-65.Peng Chunhua,Yu Rong,Sun Huijuan.Multi-objective DG planning based on K-means clustering and multi-scenario timing characteristics analysis[J].Electric Power Automation Equipment,2015,35(10):58-65(in Chinese).
[10]徐芮,刘俊勇,刘友波,等.考虑负荷聚类分区与分布式发电接入的配电网主次网架规划方法[J].电力自动化设备,2016,36(6):48-55.Xu Rui,Liu Junyong,Liu Youbo,et al.Primary and subordinate distribution network planning considering load clustering partition and DG integration[J].Electric Power Automation Equipment,2016,36(6):48-55(in Chinese).
[11]覃岭,林济铿,戴赛,等.一种改进轻鲁棒优化模型及其线性对应式[J].中国电机工程学报,2016,36(13):3463-3469.Qin Ling,Lin Jikeng,Dai Sai,et al.An improved light robust optimization model and its linear counterpart[J].Proceedings of the CSEE,2016,36(13):3463-3469(in Chinese).
[12]刘静琨,张宁,康重庆.电力系统云储能研究框架与基础模型[J].中国电机工程学报,2017,37(12):3361-3371.Liu Jingkun,Zhang Ning,Kang Chongqing.Research framework and basic models for cloud energy storage in power system[J].Proceedings of the CSEE,2017,37(12):3361-3371(in Chinese).
[13]高飞,杨凯,惠东,等.储能用磷酸铁锂电池循环寿命的能量分析[J].中国电机工程学报,2013,33(5):41-45.Gao Fei,Yang Kai,Hui Dong,et al.Cycle-life energy analysis of LiFePO4 batteries for energy storage[J].Proceedings of the CSEE,2013,33(5):41-45(in Chinese).
[14]田世明,栾文鹏,张东霞,等.能源互联网技术形态与关键技术[J].中国电机工程学报,2015,35(14):3482-3494.Tian Shiming,Luan Wenpeng,Zhang Dongxia,et al.Technical forms and key technologies on energy internet[J].Proceedings of the CSEE,2015,35(14):3482-3494(in Chinese).
[15]王淼,戴剑锋,周双喜,等.全电力推进船舶电力系统的数字仿真[J].电工技术学报,2006,21(4):62-67.Wang Miao,Dai Jianfeng,Zhou Shuangxi,et al.Digital simulation of ship power system with electric propulsion[J].Transactions of China Electrotechnical Society,2006,21(4):62-67(in Chinese).
[16]郑元璋,冯宁,李海量.全电力推进船舶推进控制技术研究[J].中国航海,2007(4):92-95.Zheng Yuanzhang,Feng Ning,Li Hailiang.Research on propulsion control technology for all electric propulsion ship[J].Navigation of China,2007(4):92-95(in Chinese).
[17]高赐威,吴茜,薛飞,等.换电模式下电动汽车电池组需求规划[J].电网技术,2013,37(7):1783-1791.Gao Ciwei,Wu Xi,Xue Fei,et al.Demand planning of electric vehicle battery pack under battery swapping mode[J].Power System Technology,2013,37(7):1783-1791(in Chinese).
[18]孙丙香,何婷婷,牛军龙,等.基于换电和电池租赁模式的纯电动汽车运营成本评估及预测研究[J].电工技术学报,2014,29(4):316-322.Sun Bingxiang,He Tingting,Niu Junlong,et al.The operational cost evaluation and prognosis of pure electric bus based on battery swap and leasing mode[J].Transactions of China Electrotechnical Society,2014,29(4):316-322(in Chinese).
[19]陆婷婷,高赐威.电动汽车充换电网络优化调度通用模型研究[J].电网技术,2014,38(10):2700-2707.Lu Tingting,Gao Ciwei.A general model for optimal scheduling of battery charging and renewal Network[J].Power System Technology,2014,38(10):2700-2707(in Chinese).
[20]郭国才.船舶电力推进系统[M].北京:机械工业出版社,2015:150-152.Guo Guocai.Marine electric propolsion system[M].Beijing:China Machine Press,2015:150-152(in Chinese).
[21]蒋凯,李浩秒,李威,等.几类面向电网的储能电池介绍[J].电力系统自动化,2013,37(1):47-53.Jiang Kai,Li Haomiao,Li Wei,et al.On several battery technologies for power grids[J].Automation of Electric Power Systems,2013,37(1):47-53(in Chinese).
[22]丁明,陈忠,苏建徽,等.可再生能源发电中的电池储能系统综述[J].电力系统自动化,2013,37(1):19-25.Ding Ming,Chen Zhong,Su Jianhui,et al.An overview of battery energy storage system for renewable energy generation[J].Automation of Electric Power Systems,2013,37(1):19-25(in Chinese).
[23]中华人民共和国国家能源局.DL/T 5429-2009电力系统设计技术规程[S].北京:中国电力出版社,2009.China National Energy Administration.DL/T 5429-2009Technical code of design for the electric power system[S].Beijing:China Electric Power Press,2009(in Chinese).
[24]谢光明.船舶降速航行的经济性和排放变化分析[D].大连:大连海事大学,2009.Xie Guangming.Analysis on economy and emission change of navigation at reduced speed[D].Dalian:Dalian Martitime University,2009(in Chinese).
[25]中国建筑标准设计研究院.04DX101-1:建筑电气常用数据[S].北京:中国建筑标准设计究院,2005.China Architecture Design&Research Group.04DX101-1:Common data of building electricity[S].Beijing:China Architecture Design&Research Group,2005(in Chinese).
[26]Robert Sedgewick,Kevin Wayne.Algorithms[M].北京:人民邮电出版社,2012:145-162.Robert Sedgewick,Kevin Wayne.Algorithms[M].Beijing:Posts&Telecom Press,2012:145-162(in Chinese).
[27]刘勇,马良.非线性极大极小问题的混沌万有引力搜索算法求解[J].计算机应用研究,2012,29(1):47-48.Liu Yong,Ma Liang.Solving nonlinear minimax problems based on chaos gravitational search algorithm[J].Application Research of Computers,2012,29(1):47-48(in Chinese).
[28]黎嘉明,郑雪阳,艾小猛,等.独立海岛微网分布式电源容量优化设计[J].电工技术学报,2016,31(10):176-184.Li Jiaming,Zheng Xueyang,Ai Xiaomeng,et al.Optimal design of capacity of distributed generation in island standalone microgrid[J].Transactions of China Electrotechnical Society,2016,31(10):176-184(in Chinese).
[29]王栋,冯刚,费建平,等.基于大客户和地方电厂数据管理预测平台的海岛电网负荷还原预测方法研究[C]//华东六省一市输配电技术研讨会.上海:山东电机工程学会,2015:1-6.Wang Dong,Feng Gang,Fei Jianping,et al.An research of load reduction forecasting method based on data management and forecasting platform of large-scale comsumer and regional power plants[C]//Seminar on Power Transmission and Distribution Technology in Six Provinces and One City of East China.Shanghai:Shandong Electrical Engineering Society,2015:1-6(in Chinese).
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