基于全局优化和多主体博弈的微网日前电热联合经济调度
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摘要
针对含可再生能源的微网日前电热联合调度问题,开展了考虑全局利益统一与多主体利益均衡的优化结果对比分析。首先,基于多能源微网中各类能量产生/转化设备的效能模型,结合系统中储能装置寿命损耗、可再生能源丢弃、电动汽车调度成本等方面的分析,建立了各类设备的运行成本模型;其次,构建了以微网运行成本最佳为目标的微网单一主体日前经济调度数学模型,并提出了基于粒子维度熵的改进混沌粒子群算法;再次,构建了考虑可再生能源所有者、微网能源服务商、用户等多主体利益均衡的日前经济调度数学模型,提出了基于Nash均衡博弈的求解方法;最后,针对全局利益统一与多主体利益均衡2种模式在典型实例中的经济调度结果,开展了深入的对比分析,验证了所提模型与方法的有效性与实用性。
Aiming at day-ahead power and heat combined dispatch problem of microgrid containing renew able energy,a comparative analysis on optimization results of global optimization and multi-agent game is carried out. Initially,on the basis of efficiency model of energy generation and conversion equipment in multi-energy microgrid,considering life loss of energy storage,renew able energy curtailment,dispatch cost of electric vehicles,etc.,operating cost models of various equipment are established. Furthermore,mathematical model of day-ahead economic dispatch aiming at microgrid has the best operating cost is established,and an advanced chaotic particle sw arm optimization algorithm based on particle dimension entropy is established. Additionally,mathematical day-ahead economic dispatch model of multi-agent interest balance is established,which contains renew able energy ow ner,microgrid energy service provider and user. And a solve method based on Nash equilibrium game is proposed. Finally,in-depth comparative analysis is carried out according to the economic dispatch results of global optimization and multi-agent game,and the validity and practicability of the model are illustrated.
Aiming at day-ahead power and heat combined dispatch problem of microgrid containing renew able energy,a comparative analysis on optimization results of global optimization and multi-agent game is carried out. Initially,on the basis of efficiency model of energy generation and conversion equipment in multi-energy microgrid,considering life loss of energy storage,renew able energy curtailment,dispatch cost of electric vehicles,etc.,operating cost models of various equipment are established. Furthermore,mathematical model of day-ahead economic dispatch aiming at microgrid has the best operating cost is established,and an advanced chaotic particle sw arm optimization algorithm based on particle dimension entropy is established. Additionally,mathematical day-ahead economic dispatch model of multi-agent interest balance is established,which contains renew able energy ow ner,microgrid energy service provider and user. And a solve method based on Nash equilibrium game is proposed. Finally,in-depth comparative analysis is carried out according to the economic dispatch results of global optimization and multi-agent game,and the validity and practicability of the model are illustrated.
引文
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[2] WU J,YAN J,JIA H,et al. Integrated energy systems[J].Applied Energy,2016,167:155-157.
[3]肖浩,裴玮,孔力,等.综合能源微网运行优化调度方法研究[J].电工电能新技术,2016,35(12):1-11.XIAO Hao, PEI Wei, KONG Li, et al. Research on optimal operation method of integrated energy microgrid system[J].Advanced Technology of Electrical Engineering and Energy,2016,35(12):1-11.
[4]杜妍,裴玮,葛贤军,等.综合能源微网系统的滚动优化经济调度[J].电力系统及其自动化学报,2017,29(11):20-25.DU Yan,PEI Wei,GE Xianjun,et al. Rolling optimizaiton of economic dispatching for multi-energy micro-grid system[J].Proceedings of the CSU-EPSA,2017,29(11):20-25.
[5]周荣宗.主动负荷参与可再生能源消纳的调度策略与模型研究[D].南京:东南大学,2016.ZHOU Rongzong. Research on scheduling strategy and model of renew able energy integration involving active load[D]. Nanjing:Southeast University,2016.
[6] JIN X,MU Y,JIA H,et al. Optimal day-ahead scheduling of integrated urban energy systems[J]. Applied Energy,2016,180:1-13.
[7]孙川.微型综合能源系统日前调度模型研究[D].广州:华南理工大学,2016.SUN Chuan. Research on models for micro integrated energy system day-ahead scheduling[D]. Guangzhou:South China University of Technolog,2016.
[8] KARAMI H,SANJARI M J,TAVAKOLI A,et al. Optimal scheduling of residential energy system including combined heat and pow er system and storage device[J]. Electric Pow er Components&Systems,2013,41(8):765-781.
[9] NAZARI-HERIS M,ABAPOUR S,MOHAMMADI-IVATLOO B.Optimal economic dispatch of FC-CHP based heat and pow er microgrids[J]. Applied Thermal Engineering,2016,114:756-769.
[10]顾泽鹏,康重庆,陈新宇,等.考虑热网约束的电热能源集成系统运行优化及其风电消纳效益分析[J].中国电机工程学报,2015,35(14):3596-3604.GU Zepeng,KANG Chongqing,CHEN Xinyu,et al. Operation optimization of integrated pow er and heat energy systems and the benefit on w ind pow er accommodation considering heating netw ork constraints[J]. Proceedings of the CSEE, 2015, 35(14):3596-3604.
[11] YANG L,TAI N,FAN C,et al. Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid[J]. Renew able Energy,2016,95:202-212.
[12] LI P,GUAN X,WU J,et al. An integrated energy exchange scheduling and pricing strategy for multi-microgrid system[C]//Tencon 2013-2013 IEEE Region 10 Conference. IEEE,2013:1-5.
[13] WOUTERS C,FRAGA E S,JAMES A M. An energy integrated,multi-microgrid, M ILP(mixed-integer linear programming)approach for residential distributed energy system planning:A South Australian case-study[J]. Energy,2015,85:30-44.
[14]韩晓娟,程成,籍天明,等.计及电池使用寿命的混合储能系统容量优化模型[J].中国电机工程学报,2013,33(34):91-97.HAN Xiaojuan, CHEN Cheng, JI Tianming, et al. Capacity optimal modeling of hybrid energy storage systems considering battery life[J]. Proceedings of the CSEE,2013,33(34):91-97.
[15]刘军民,高岳林.混沌粒子群优化算法[J].计算机应用,2008,28(2):322-325.LIU Junmin, GAO Yuelin. Chaos particle sw arm optimization algorithm[J]. Computer Applications,2008,28(2):322-325.