风-光-储系统在不同运营模式下的最优容量配置策略及考虑网损补贴的经济性分析
|
摘要
在不同运营模式下,风-光-储系统的最优容量配置策略存在差异,对电力系统经济性运行造成影响。以投资主体在供电收入及全寿命周期成本下的收益为优化目标,综合考虑网络安全性和可靠性约束,采用合作博弈和非合作博弈方法对风-光-储系统的不同运营模式进行建模,计算风电、光伏、储能投资商在不同运营模式下的最优容量配置策略。通过网损补贴的方法,用经济激励的手段实现"柔性控制"。针对浙江省某城市配电系统进行仿真计算,分析了不同运营模式下风电、光伏、储能的装机容量、供电收益、网损补贴对运营模式的影响,验证了配置策略与经济性分析的正确性。
There are differences among the optimal capacity allocation strategies for wind-PV-energy storage(ES) system with different operation modes, affecting the economic operation of power system. Taking the profits of investors considering the annual average income of the wind-solar-storage system and life cycle cost as the objective function with subject to network security and reliability, the paper uses cooperative game and non-cooperative game to establish the models for the different operation modes of the wind-PV-ES system,and proposes the optimal capacity allocation strategy for the investors in the wind-PV-ES system. At the same time, for exerting flexible control over the wind-PV-ES system for distribution companies, the paper uses network loss subsidy to implement economic incentives on the investors. Finally, a distribution network in Zhejiang province is simulated, and the influence of the capacity, profits, network loss subsidy of the wind-PV-ES system on the operation mode is analyzed, verifying the correctness of the proposed capacity allocation strategy and economic analysis.
There are differences among the optimal capacity allocation strategies for wind-PV-energy storage(ES) system with different operation modes, affecting the economic operation of power system. Taking the profits of investors considering the annual average income of the wind-solar-storage system and life cycle cost as the objective function with subject to network security and reliability, the paper uses cooperative game and non-cooperative game to establish the models for the different operation modes of the wind-PV-ES system,and proposes the optimal capacity allocation strategy for the investors in the wind-PV-ES system. At the same time, for exerting flexible control over the wind-PV-ES system for distribution companies, the paper uses network loss subsidy to implement economic incentives on the investors. Finally, a distribution network in Zhejiang province is simulated, and the influence of the capacity, profits, network loss subsidy of the wind-PV-ES system on the operation mode is analyzed, verifying the correctness of the proposed capacity allocation strategy and economic analysis.
引文
[1]胡泽春,罗浩成.大规模可再生能源接入背景下自动发电控制研究现状与展望[J].电力系统自动化,2018, 42(8):1-15.HU Zechun, LUO Haocheng.Research status and prospect of automatic generation control with integration of largescale renewable energy[J]. Automation of Electric Power Systems,2018,42(8):1-15.
[2]杨经纬,张宁,王毅,等.面向可再生能源消纳的多能源系统述评与展望[J].电力系统自动化,2018,42(4):11-24.YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multienergy system towards renewable energy accommodation review and prospect[J]. Automation of Electric Power Systems,2018,42(4):11-24.
[3]李建林,田立亭,来小康.能源互联网背景下的电力储能技术展望[J].电力系统自动化,2015,39(23):15-25.LI Jianlin, TIAN Liting, LAI Xiaokang. Outlook of electrical energy storage technologies under energy internet background[J]. Automation of Electrical Power Systems,2015,39(23):15-25.
[4]黄世回,王汝钢,杨忠亮.风光储一体化电站智能电能监测与计量系统[J].广东电力,2016, 29(6):93-97.HUANG Shihui, WANG Rugang, YANG Zhongliang.Intelligent electric energy monitoring and metering system for Wind-PV-ES integrated power station[J].Guangdong Electric Power,2016,29(6):93-97.
[5]李丹,刘俊勇,刘友波,等.考虑风储参与的电力市场联动博弈分析[J].电网技术,2015,39(4):1001-1007.LI Dan, LIU Junyong, LIU Youbo, et al.Analysis on electricity market linkage game considering participation of wind power and energy storage[J]. Power System Technology,2015,39(4):1001-1007.
[6]潘文霞,李建成,方坤豪.考虑补贴的独立微网容量配置优化方法[J].电网技术,2018,42(7):2206-2212.PAN Wenxia, LI Jiancheng, FANG Kunhao.Optimization method of capacity configuration of standalone microgrid considering subsidy[J]. Power System Technology,2018,42(7):2206-2212.
[7]吴克河,周欢,刘吉臻.大规模并网型风光储发电单元容量优化配置方法[J].太阳能学报,2015, 36(12):2946-2953.WU Kehe, ZHOU Huan, LIU Jizhen.Capacity allocation optimization method of large scale grid connected windPV-battery generation unit[J]. Acta Energiae Solaris Sinica, 2015,36(12):2946-2953.
[8]袁晓玲,程淋伟,鲁丽娟,等.基于万有引力搜索算法的微电网风光储容量优化配置[J].电力需求侧管理,2017,19(6):14-19.YUAN Xiaoling, CHENG Linwei, LU Lijuan, et al.Configuration optimization of wind-solar-storage system in microgrid based on GSA[J]. Power Demand SideManagement, 2017,19(6):14-19.
[9]陈波,于楠,吴巍,等.含潮流能/风/蓄/柴的孤岛微网容量优化配置[J].电力学报,2018,33(3):207-212.CHEN Bo, YU Nan, WU Wei,et al.Capacity configuration optimization for microgrid with tidal/wind/battery/diesel in insular islands[J]. Journal of Electric Power,2018,33(3):207-212.
[10] WANG H,LI G,LI G,et al.Research on capacity configuration optimization for island microgrid based on battery's state of charge[C]. Beijing:2017 IEEE Conference on Energy Internet and Energy System Integration, Nov 26-28,2017.
[11] MALEKI A, ASKARZADEH A. Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region:A case study of Rafsanjan[J].Sustainable Energy Technologies and Assessments, 2014,7:147-153.
[12] HAN J, ZHANG J, YAN L. Capacity configuration of the hybrid energy storage system based on improved quantum genetic algorithm[C]. Beijing:International Conference on Renewable Power Generation,Oct 17-18,2015.
[13]谢敏,柯少佳,吉祥,等.考虑风光互补特性的微电网动态经济优化调度[J].智慧电力,2017,45(8):9-14.XIE Min, KE Shaojia, JI Xiang, et al.Microgrid dynamic economic dispatch considering wind-solar complementary characteristics[J]. Smart Power, 2017,45(8):9-14.
[14]梅生伟,王莹莹,刘锋.风-光-储混合电力系统的博弈论规划模型与分析[J].电力系统自动化,2011,35(20):13-19.MEI Shengwei, WANG Yingying, LIU Feng. A gametheory based planning model and analysis for hybrid power system with wind generators-photovoltaic panels-storage batteries[J]. Automation of Electric Power Systems,2011,35(20):13-19.
[15]夏永洪,吴虹剑,辛建波,等.考虑风/光/水/储多源互补特性的微网经济运行评价方法[J].电力自动化设备,2017,37(7):63-69.XIA Yonghong,WU Hongjian,XIN Jianbo,et al.Evaluation of economic operation for microgrid with complementary DGs and energy storage[J]. Electric Power Automation Equipment, 2017,37(7):63-69.
[16]杨阳,杨璐,朗劲,等.基于LS-SVM算法的多场景风功率预测研究[J].智慧电力,2017,45(7):58-63.YANG Yang, YANG Lu, LANG Jing, et al.Study on multiscenario wind power prediction based on LS-SVM algorithm[J]. Smart Power,2017,45(7):58-63.
[17]肖凯,刘鹏,车建峰,等.基于电力大数据平台的海量风电数据处理架构与应用研究[J].电力信息与通信技术,2017,15(7):13-19.XIAO Kai,LIU Peng, CHE Jianfeng,et al.Research on thearchitecture and application of massive wind power data processing based on electric power big data platform[J].Electric Power Information and Communication Technology,2017,15(7):13-19.
[18]刘博洋,潘宇,许伯阳,等.基于改进灰色神经网络组合模型的光伏电站短期出力预测[J].广东电力,2017,30(4):55-60.LIU Boyang, PAN Yu,XU Boyang,et al.Short-term output forecasting for photovoltaic power station based on improved grey neural network combined model[J].Guangdong Electric Power,2017,30(4):55-60.
[19]国家能源局南方监管局.南方区域电化学储能电站并网运行管理及辅助服务管理实施细则(试行),2018-01-18.http://www.escn.com.cn/news/show-490877.html.
[20] YANG H,ZHOU W.LU L,et al.Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm[J].Solar Energy,2008,33(6):1413-1423.
[21]刘科研,刘永梅,盛万兴,等.考虑电压约束的分布式电源接人配电网最大准入容量计算方法[J].电力自动化设备,2016,36(6):81-87.LIU Keyan,LIU Yongmei,SHENG Wanxing,et al.Maximal allowable DG penetration capacity calculation considering voltage constraints[J]. Electric Power Automation Equipment,2016,36(6):81-87.
[22]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.LU Qiang, CHEN Laijun, MEI Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017.
[2]杨经纬,张宁,王毅,等.面向可再生能源消纳的多能源系统述评与展望[J].电力系统自动化,2018,42(4):11-24.YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multienergy system towards renewable energy accommodation review and prospect[J]. Automation of Electric Power Systems,2018,42(4):11-24.
[3]李建林,田立亭,来小康.能源互联网背景下的电力储能技术展望[J].电力系统自动化,2015,39(23):15-25.LI Jianlin, TIAN Liting, LAI Xiaokang. Outlook of electrical energy storage technologies under energy internet background[J]. Automation of Electrical Power Systems,2015,39(23):15-25.
[4]黄世回,王汝钢,杨忠亮.风光储一体化电站智能电能监测与计量系统[J].广东电力,2016, 29(6):93-97.HUANG Shihui, WANG Rugang, YANG Zhongliang.Intelligent electric energy monitoring and metering system for Wind-PV-ES integrated power station[J].Guangdong Electric Power,2016,29(6):93-97.
[5]李丹,刘俊勇,刘友波,等.考虑风储参与的电力市场联动博弈分析[J].电网技术,2015,39(4):1001-1007.LI Dan, LIU Junyong, LIU Youbo, et al.Analysis on electricity market linkage game considering participation of wind power and energy storage[J]. Power System Technology,2015,39(4):1001-1007.
[6]潘文霞,李建成,方坤豪.考虑补贴的独立微网容量配置优化方法[J].电网技术,2018,42(7):2206-2212.PAN Wenxia, LI Jiancheng, FANG Kunhao.Optimization method of capacity configuration of standalone microgrid considering subsidy[J]. Power System Technology,2018,42(7):2206-2212.
[7]吴克河,周欢,刘吉臻.大规模并网型风光储发电单元容量优化配置方法[J].太阳能学报,2015, 36(12):2946-2953.WU Kehe, ZHOU Huan, LIU Jizhen.Capacity allocation optimization method of large scale grid connected windPV-battery generation unit[J]. Acta Energiae Solaris Sinica, 2015,36(12):2946-2953.
[8]袁晓玲,程淋伟,鲁丽娟,等.基于万有引力搜索算法的微电网风光储容量优化配置[J].电力需求侧管理,2017,19(6):14-19.YUAN Xiaoling, CHENG Linwei, LU Lijuan, et al.Configuration optimization of wind-solar-storage system in microgrid based on GSA[J]. Power Demand SideManagement, 2017,19(6):14-19.
[9]陈波,于楠,吴巍,等.含潮流能/风/蓄/柴的孤岛微网容量优化配置[J].电力学报,2018,33(3):207-212.CHEN Bo, YU Nan, WU Wei,et al.Capacity configuration optimization for microgrid with tidal/wind/battery/diesel in insular islands[J]. Journal of Electric Power,2018,33(3):207-212.
[10] WANG H,LI G,LI G,et al.Research on capacity configuration optimization for island microgrid based on battery's state of charge[C]. Beijing:2017 IEEE Conference on Energy Internet and Energy System Integration, Nov 26-28,2017.
[11] MALEKI A, ASKARZADEH A. Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region:A case study of Rafsanjan[J].Sustainable Energy Technologies and Assessments, 2014,7:147-153.
[12] HAN J, ZHANG J, YAN L. Capacity configuration of the hybrid energy storage system based on improved quantum genetic algorithm[C]. Beijing:International Conference on Renewable Power Generation,Oct 17-18,2015.
[13]谢敏,柯少佳,吉祥,等.考虑风光互补特性的微电网动态经济优化调度[J].智慧电力,2017,45(8):9-14.XIE Min, KE Shaojia, JI Xiang, et al.Microgrid dynamic economic dispatch considering wind-solar complementary characteristics[J]. Smart Power, 2017,45(8):9-14.
[14]梅生伟,王莹莹,刘锋.风-光-储混合电力系统的博弈论规划模型与分析[J].电力系统自动化,2011,35(20):13-19.MEI Shengwei, WANG Yingying, LIU Feng. A gametheory based planning model and analysis for hybrid power system with wind generators-photovoltaic panels-storage batteries[J]. Automation of Electric Power Systems,2011,35(20):13-19.
[15]夏永洪,吴虹剑,辛建波,等.考虑风/光/水/储多源互补特性的微网经济运行评价方法[J].电力自动化设备,2017,37(7):63-69.XIA Yonghong,WU Hongjian,XIN Jianbo,et al.Evaluation of economic operation for microgrid with complementary DGs and energy storage[J]. Electric Power Automation Equipment, 2017,37(7):63-69.
[16]杨阳,杨璐,朗劲,等.基于LS-SVM算法的多场景风功率预测研究[J].智慧电力,2017,45(7):58-63.YANG Yang, YANG Lu, LANG Jing, et al.Study on multiscenario wind power prediction based on LS-SVM algorithm[J]. Smart Power,2017,45(7):58-63.
[17]肖凯,刘鹏,车建峰,等.基于电力大数据平台的海量风电数据处理架构与应用研究[J].电力信息与通信技术,2017,15(7):13-19.XIAO Kai,LIU Peng, CHE Jianfeng,et al.Research on thearchitecture and application of massive wind power data processing based on electric power big data platform[J].Electric Power Information and Communication Technology,2017,15(7):13-19.
[18]刘博洋,潘宇,许伯阳,等.基于改进灰色神经网络组合模型的光伏电站短期出力预测[J].广东电力,2017,30(4):55-60.LIU Boyang, PAN Yu,XU Boyang,et al.Short-term output forecasting for photovoltaic power station based on improved grey neural network combined model[J].Guangdong Electric Power,2017,30(4):55-60.
[19]国家能源局南方监管局.南方区域电化学储能电站并网运行管理及辅助服务管理实施细则(试行),2018-01-18.http://www.escn.com.cn/news/show-490877.html.
[20] YANG H,ZHOU W.LU L,et al.Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm[J].Solar Energy,2008,33(6):1413-1423.
[21]刘科研,刘永梅,盛万兴,等.考虑电压约束的分布式电源接人配电网最大准入容量计算方法[J].电力自动化设备,2016,36(6):81-87.LIU Keyan,LIU Yongmei,SHENG Wanxing,et al.Maximal allowable DG penetration capacity calculation considering voltage constraints[J]. Electric Power Automation Equipment,2016,36(6):81-87.
[22]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.LU Qiang, CHEN Laijun, MEI Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017.