考虑电价激励需求响应下多主体微电网电源容量优化
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摘要
考虑多主体微电网中用户在电价激励需求响应的基础上,实现微电网风-光-柴-储的容量优化配置。在电力市场环境下,通过考虑微电网内多元主体的不同职能,建立两阶段优化模型:阶段1建立微电网运营商与消费者之间的完全信息博弈互动模型,在保障售电商利益的前提下,以消费者盈余最大为优化目标,得到微电网内的最优峰谷分时电价策略,进而得到消费者在电价激励下的需求响应曲线;阶段2通过微电网电源投资商与微电网运营商之间的博弈互动,以微电网电源投资商的利益最大化为优化目标,得到微电网内不同分布式电源容量的最优化配置策略。结合某一地区的历史数据信息进行仿真算例分析,验证所提模型的有效性。
The optimal capacity configuration of wind,photovoltaic,diesel generator and energy storage is realized based on the price incentive demand response of consumers in the microgrid with multiple subjects. In the environment of electricity market,a two-stage optimization model is established by considering the different functions of multiple subjects in the microgrid. In stage 1,the complete information interactive game model between microgrid operators and consumers is established with the maximum consumer profits as its optimization objective,on the premise of protecting the interests of electricity retailers,based on which,the optimal peak-valley time-of-use electricity price strategy of microgrid is obtained,and then the demand response curves of consumers under the price incentive are obtained. In stage 2,the optimal capacity configuration strategies of different distributed generators in the microgrid are obtained with the maximum benefits of microgrid power investors as its optimization objective,which is based on the interactive game between the microgrid power investors and microgrid operators. The validity of the proposed model is verified by a simulation example based on the historical data of a certain region.
The optimal capacity configuration of wind,photovoltaic,diesel generator and energy storage is realized based on the price incentive demand response of consumers in the microgrid with multiple subjects. In the environment of electricity market,a two-stage optimization model is established by considering the different functions of multiple subjects in the microgrid. In stage 1,the complete information interactive game model between microgrid operators and consumers is established with the maximum consumer profits as its optimization objective,on the premise of protecting the interests of electricity retailers,based on which,the optimal peak-valley time-of-use electricity price strategy of microgrid is obtained,and then the demand response curves of consumers under the price incentive are obtained. In stage 2,the optimal capacity configuration strategies of different distributed generators in the microgrid are obtained with the maximum benefits of microgrid power investors as its optimization objective,which is based on the interactive game between the microgrid power investors and microgrid operators. The validity of the proposed model is verified by a simulation example based on the historical data of a certain region.
引文
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[17] 刘峪涵,汪沨,谭阳红,等.并网型微电网多目标容量优化配置及减排效益分析[J].电力系统及其自动化学报,2017,29(9):70-75.LIU Yuhan,WANG Feng,TAN Yanghong,et al.Multi-objective optimal capacity configuration and emission reduction benefit analysis of grid-connected microgrid[J].Proceedings of the CSU-EPSA,2017,29(9):70-75.
[2] WANG H,HUANG J W.Joint investment and operation of microgrid[J].IEEE Transactions on Smart Grid,2017,8(2):833-845.
[3] 丁明,王波,赵波,等.独立风光柴储微网系统容量优化配置[J].电网技术,2013,37(3):575-581.DING Ming,WANG Bo,ZHAO Bo,et al.Configuration optimization of capacity of standalone PV-wind-diesel-battery hybrid microgrid[J].Power System Technology,2013,37(3):575-581.
[4] 周楠,樊玮,刘念,等.基于需求响应的光伏微网储能系统多目标容量优化配置[J].电网技术,2016,40(6):1709-1716.ZHOU Nan,FAN Wei,LIU Nian,et al.Battery storage multi-objective optimization for capacity configuration of PV-based microgrid considering demand response[J].Power System Technology,2016,40(6):1709-1716.
[5] 黄弦超.计及可控负荷的独立微网分布式电源容量优化[J].中国电机工程学报,2018,38(7):1962-1970,2211.HUANG Xianchao.Capacity optimization of distributed generation for stand-alone microgrid considering controllable load[J].Proceedings of the CSEE,2018,38(7):1962-1970,2211.
[6] 赵波,包侃侃,徐志成,等.考虑需求侧响应的光储并网型微电网优化配置[J].中国电机工程学报,2015,35(21):5465-5474.ZHAO Bo,BAO Kankan,XU Zhicheng,et al.Optimal sizing for grid-connected PV-and-storage microgrid considering demand response[J].Proceedings of the CSEE,2015,35(21):5465-5474.
[7] 李晨迪,陈渊睿,曾君,等.基于非合作博弈的微电网能量管理系统优化算法[J].电网技术,2016,40(2):387-395.LI Chendi,CHEN Yuanrui,ZENG Jun,et al.Research on optimization algorithm of microgrid energy management system based on non-cooperative game theory[J].Power System Technology,2016,40(2):387-395.
[8] 孔祥玉,曾意,陆宁,等.基于多智能体竞价均衡的微电网优化运行方法[J].中国电机工程学报,2017,37(6):1626-1634.KONG Xiangyu,ZENG Yi,LU Ning,et al.Optimal bidding mana-gement for agent-based microgrid operation[J].Proceedings of the CSEE,2017,37(6):1626-1634.
[9] AMICARELLI E,TRAN Q T,BACHA S.Multi-agent system for day-ahead energy management of microgrid[C]//2016 18th European Conference on Power Electronics and Applications.Karlsruhe,Germany:IEEE,2016:1-10.
[10] AMROLLAHI M H,BATHAEE S M T.Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand res-ponse[J].Applied Energy,2017,202:66-77.
[11] ZHANG Z J,ZHU Y Q.Estimating the image segmentation number via the entropy gap statistic[C]//2009 Second International Conference on Information and Computing Science.Manchester,UK:IEEE,2009:14-16.
[12] ZHAO S,MING Z.Modeling demand response under time-of-use pricing[C]//2014 International Conference on Power System Tech-nology.Chengdu,China:IEEE,2014:1948-1955.
[13] 程瑜,翟娜娜.基于用户响应的分时电价时段划分[J].电力系统自动化,2012,36(9):42-46,53.CHENG Yu,ZHAI Nana.Electricity price peak and valley periods division based on customer response[J].Automation of Electric Power Systems,2012,36(9):42-46,53.
[14] 肖浩,裴玮,杨艳红,等.计及电池寿命和经济运行的微电网储能容量优化[J].高电压技术,2015,41(10):3256-3265.XIAO Hao,PEI Wei,YANG Yanhong,et al.Energy storage capa-city optimization for microgrid considering battery life and economic operation[J].High Voltage Engineering,2015,41(10):3256-3265.
[15] ELSIED M,OUKAOUR A,GUALOUS H,et al.Energy management and optimization in microgrid system based on green energy[J].Energy,2015,84:139-151.
[16] 刘子秋,黄民翔.基于可靠性与经济性的计及微电源自身特性的微电网能量优化配置[J].电网技术,2014,38(5):1352-1357.LIU Ziqiu,HUANG Minxiang.Optimal energy allocation of micro-grid based on reliability and economy by considering characteristics of micro source[J].Power System Technology,2014,38(5):1352-1357.
[17] 刘峪涵,汪沨,谭阳红,等.并网型微电网多目标容量优化配置及减排效益分析[J].电力系统及其自动化学报,2017,29(9):70-75.LIU Yuhan,WANG Feng,TAN Yanghong,et al.Multi-objective optimal capacity configuration and emission reduction benefit analysis of grid-connected microgrid[J].Proceedings of the CSU-EPSA,2017,29(9):70-75.