基于Pareto支配法的微电网多目标能量优化短时调度策略研究

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摘要微电网中存在风力发电、光伏发电等微电源,其发电的波动性限制了微电网调度的跟随性和实时性。因此,使用储能装置对波动性微电源进行功率平抑,以降低其接入微电网时的波动性,确保微电网短时调度的可行性。微电网短时调度考虑从技术、经济和环境等方面对各类微电源进行能量优化配置,并使用Pareto支配法对微电网多目标优化问题进行了求解。对单步求解生成的Pareto解集,使用权重系数法、附加目标法和调度空间法进行了调度方案筛选,确定了短时调度情况下的调度策略。

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	金立军
	侯珂
	程逸帆

关键词 ：微电网, 多目标优化, Pareto支配法, 短时调度

Abstract：There are micro power sources such as wind power generation and photovoltaic power generation in microgrid,which limit the following and real-time performance.Therefore,energy storage device is used to stabilize the volatility of micro power,which ensures the feasibility of micro power network short-term scheduling.Microgrid short-term scheduling optimizes the energy allocation of various types of micro power in technology,economy,environment and other aspects.To solve the multi-objective optimization problem of microgrid,an Pareto domination method is used.The Pareto solution set is generated by every single step.By using the method of weight coefficient,additional target and scheduling space,the scheduling scheme can be selected.

Key words： Microgrid multi-objective optimization Pareto domination short-term scheduling

收稿日期: 2016-08-20 出版日期: 2017-03-23

PACS:

TM73

作者简介: 金立军男,1964年生,教授,博士生导师,研究方向为电气设备检测与诊断、高电压技术、电磁场仿真和智能电网等。E-mail:jinlj@tongji.edu.cn侯珂女,1992年生,硕士研究生,研究方向为微电网调度策略。E-mail:houke1105@163.com(通信作者)

引用本文:

金立军,侯珂,程逸帆. 基于Pareto支配法的微电网多目标能量优化短时调度策略研究[J]. 电工技术学报, 2016, 31(增刊2): 167-175. Jin Lijun ,Hou Ke ,Cheng Yifan. Study on Short-Term Scheduling Strategy forMulti-Objective Energy Optimization of Microgrid Based on Pareto Domination. Transactions of China Electrotechnical Society, 2016, 31(增刊2): 167-175.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2016/V31/I增刊2/167

[1] 王成山,武震,李鹏.微电网关键技术研究[J].电工技术学报,2014,29(2):1-12.
Wang Chengshan,Wu Zhen,Li Peng.Research on key technologies of microgrid[J].Transactions of China Electrotechnical Society,2014,29(2):1-12.
[2] 朱永胜,王杰,瞿博阳,等.含风电场的多目标动态环境经济调度[J].电网技术,2015,39(5):1315-1322.
Zhu Yongsheng,Wang Jie,Qu Boyang,et al.Multi-objective dynamic economic emission dispatching of power grid containing wind farms[J].Power System Technology,2015,39(5):1315-1322.
[3] 钟宇峰,黄民翔,叶承晋.基于电池储能系统动态调度的微电网多目标运行优化[J].电力自动化设备,2014,34(6):114-121.
Zhong Yufeng,Huang Minxiang,Ye Chengjin.Multi-objective optimization of microgrid operation based on dynamic dispatch of battery energy storage system[J].Electric Power Automation Equipment,2014,34(6):114-121.
[4] 杨毅,雷霞,徐贵阳,等.采用PSO-BF算法的微电网多目标电能优化调度[J].电力系统保护与控制,2014,42(13):13-20.
Yang Yi,Lei Xia,Xu Guiyang,et al.Multi-objective optimal dispatch of microgrid using particle swarm optimization combined with bacterial foraging algorithm[J].Power System Protection and Control,2014,42(13):13-20.
[5] 刘文颖,文晶,谢昶,等.考虑风电消纳的电力系统源荷协调多目标优化方法[J].中国电机工程学报,2015,35(5):1079-1088.
Liu Wenying,Wen Jing,Xie Chang,et al.Multi-objective optimal method considering wind power accommodation based on source-load coordination[J].Proceedings of the CSEE,2015,35(5):1079-1088.
[6] 洪博文,郭力,王成山,等.电网多目标动态优化调度模型与方法[J].电力自动化设备,2013,33(3):100-107.
Hong Bowen,Guo Li,Wang Chengshan,et al.Model and method of dynamic multi-objective optimal dispatch for microgrid[J].Electric Power Automation Equipment,2013,33(3):100-107.
[7] 周晓燕,刘天琪,沈浩东,等.含多种分布式电源的微电网经济调度研究[J].电工电能新技术,2013,32(1): 5-18.
Zhou Xiaoyan,Liu Tianqi,Shen Haodong,et al. Research on economic dispatch of microgrid with multi-distributed generation[J].Advanced Technology of Electrical Engineering and Energy,2013,32(1):5-18.
[8] 郑太一,范国英,孙勇,等.大规模风电接入电网多目标电源的协调控制[J].电网技术,2013,37(11):3091-3095.
Zheng Taiyi,Fan Guoying,Sun Yong,et al.A coordinated control strategy for multiple power sources under grid-integration of large-scale wind farm[J].Power System Technology,2013,37(11):3091-3095.
[9] 吴振威,蒋小平,马会萌,等.用于混合储能平抑光伏波动的小波包-模糊控制[J].中国电机工程学报,2014, 34(3):317-324.
Wu Zhenwei,Jiang Xiaoping,Ma Huimeng,et al.Wavelet packet-fuzzy control of hybrid energy storage systems for PV power smoothing[J].Proceedings of the CSEE,2014,34(3):317-324.
[10]王海波,杨秀,张美霞,等.平抑光伏系统波动的混合储能控制策略[J].电网技术,2013,37(9):2452-2458.
Wang Haibo,Yang Xiu,Zhang Meixia,et al.A control strategy of hybrid energy storage system capable of suppressing output fluctuation of photovoltaic generation system[J].Power System Technology,2013,37(9): 2452-2458.
[11]于芃,周玮,孙辉,等.用于风电功率平抑的混合储能系统及其控制系统设计[J].中国电机工程学报,2011, 31(17):127-133.
Yu Peng,Zhou Wei,Sun Hui,et al.Hybrid energy storage system and control system design for wind power balancing[J].Proceedings of the CSEE,2011,31(17):127-133.
[12]杨柳青,林舜江,刘明波.大电网多目标动态优化调度的解耦算法及并行计算[J].电工技术学报,2016,31(6):177-186.
Yang Liuqing,Lin Shunjiang,Liu Mingbo.Decomposition algorithm for multi-objective dynamic optimal dispatch of large-scale power systems and parallel computing[J].Transactions of China Electrotechnical Society,2016,31(6):177-186.
[13]杨新法,苏剑,吕志鹏,等.微电网技术综述[J].中国电机工程学报,2014,34(1):57-70.
Yang Xinfa,Su Jian,Lü Zhipeng,et al.Overview on micro-grid technology[J].Proceedings of the CSEE,2014,34(1):57-70.
[14]魏学好,周浩.中国火力发电行业减排污染物的环境价值标准估算[J].环境科学研究,2003,16(1):53-56.
Wei Xuehao,Zhou Hao.Evaluating the environmental value schedule of pollutants mitigated in China thermal power industry[J].Research of Environmental Sciences,2013,16(1):53-56.
[15]崔逊学.多目标进化算法及其应用[M].北京:国防工业出版社,2006:6-9.
[16]苏海滨,高孟泽,常海松.基于粒子群算法的微电网有功无功下垂控制[J].电工技术学报,2015,30(1):365-369.
Su Haibin,Gao Mengze,Chang Haisong.Microgrid droop control of active and reactive power based on PSO[J].Transactions of China Electrotechnical Society,2015,30(1):365-369.
[17]胡旺,Gary G.Yen,张鑫.基于Pareto熵的多目标粒子群优化算法[J].软件学报,2014,25(5):1025-1050.
Hu Wang,Yen G G,Zhang Xin.Multiobjective particle swarm optimization based on Pareto entropy[J].Journal of Software,2014,25(5):1025-1050.
[18]Coello C A,Pulido G T,Lechuga M S.Handling multiple objectives with particle swarm optimization[J].IEEE Transactions on Evolutionary Computation,2004,8(3):256-279.