基于综合能源系统的最优潮流解耦算法
|
摘要
依据能源枢纽作为多能源系统的联系载体,建立了一个通用的优化建模框架,用于不同能源耦合系统的最优潮流研究。根据建立的优化建模框架,将综合能源系统的最优潮流问题解耦,得到一系列独立的传统最优潮流问题,从而使得问题易于求解。综合能源系统的最优潮流问题是一个大规模的非线性问题,将多主体进化算法应用于求解中,从而保证能够得到的全局最优解,适用于大型的复杂的多能源系统。通过包含有多个能源枢纽的综合能源系统的仿真分析,验证了该模型的有效性。
According to the energy hub as the contact carrier of multi-energy system,a general optimization modeling framework is established to study the optimal power flow of different energy coupling systems. According to the established optimization modeling framework, the optimal power flow problem of integrated energy system is decoupled,and a series of independent traditional optimal power flow problems are obtained,thus making the problem easy to solve. The optimal power flow problem of integrated energy system is a large-scale nonlinear problem. The multi-agent evolutionary algorithm is applied to solve the problem to ensure the global optimal solution,which is suitable for large and complex multi-energy systems. The effectiveness of the model is verified by simulation analysis of an integrated energy system with multiple energy hubs.
According to the energy hub as the contact carrier of multi-energy system,a general optimization modeling framework is established to study the optimal power flow of different energy coupling systems. According to the established optimization modeling framework, the optimal power flow problem of integrated energy system is decoupled,and a series of independent traditional optimal power flow problems are obtained,thus making the problem easy to solve. The optimal power flow problem of integrated energy system is a large-scale nonlinear problem. The multi-agent evolutionary algorithm is applied to solve the problem to ensure the global optimal solution,which is suitable for large and complex multi-energy systems. The effectiveness of the model is verified by simulation analysis of an integrated energy system with multiple energy hubs.
引文
[1]王毅,张宁,康重庆.能源互联网中能量枢纽的优化规划与运行研究综述及展望[J].中国电机工程学报,2015,35(22):5669-5681.WANG Yi,ZHANG Ning,KANG Chongqing.Review and prospect of optimal planning and operation of energy hub in energy internet[J].Proceedings of the CSEE,2015,35(22):5669-5681.
[2]艾芊,郝然.多能互补、集成优化能源系统关键技术及挑战[J].电力系统自动化,2018,42(4):2-10.AI Qian,HAO Ran.Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J].Automation of Electric Power Systems,2018,42(4):2-10.
[3]赵文会,李阮,付强.能源互联网下可再生能源项目规划研究[J].电网与清洁能源,2018,34(2):142-148.ZHAO Wenhui,LI Ruan,FU Qiang.Research on renewable energy project planning under energy internet[J].Power System and Clean Energy,2018,34(2):142-148.
[4]陆俊,朱炎平,彭文昊,等.计及用电行为聚类的智能小区互动化需求响应方法[J].电力系统自动化,2017,41(17):113-120.LU Jun,ZHU Yanping,PENG Wenhao,et al.Interactive demand response method of smart community considering clustering of electricity consumption behavior[J].Automation of Electric Power Systems,2017,41(17):113-120.
[5]姜子卿,郝然,艾芊.基于冷热电多能互补的工业园区互动机制研究[J].电力自动化设备,2017,37(6):260-267.JIANG Ziqing,HAO Ran,AI Qian.Interaction mechanism of industrial park based on multi-energy complementation[J].Electirc Power Automation Equipment,2017,37(6):260-267.
[6]史俊祎,文福拴,崔鹏程,等.参与需求响应的工业用户智能用电管理[J].电力系统自动化,2017,41(14):45-53.SHI Junyi,WEN Fushuan,CUI Pengcheng,et al.Intelligent energy management of industrial loads considering participation in demand response program[J].Automation of Electric Power Systems,2017,41(14):45-53.
[7]潘昭光,孙宏斌,郭庆来.面向能源互联网的多能流静态安全分析方法[J].电网技术,2016,40(6):1627-1634.PAN Zhaoguang,SUN Hongbin,GUO Qinglai.Energy internet oriented static security analysis method for multienergy flow[J].Power System Technology,2016,40(6):1627-1634.
[8]何天雨,卫志农,孙国强,等.基于网损等值负荷模型的改进直流最优潮流算法[J].电力系统自动化,2016,40(6):58-64.HE Tianyu,WEI Zhinong,SUN Guoqiang,et al.Modified direct current optimal power flow algorithm based on net loss equivalent load model[J].Automation of Electric Power Systems,2016,40(6):58-64.
[9]李扬,闫爱梅,田传波.区域综合能源管控系统设计与实现[J].供用电,2019,36(3):8-13.LI Yang,YAN Aimei,TIAN Chuanbo.Design and implementation of regional integrated energy management and control system[J].Distribution&Utilization,2019,36(3):8-13.
[10]唐艳梅,闫华光,朱彬若,等.基于自适应遗传算法的分布式综合能源系统优化设计[J].电网与清洁能源,2018,34(2):30-35.TANG Yanmei,YAN Huaguang,ZHU Binruo,et al.Optimal design of distributed integrated energy system based on adaptive algorithm[J].Power System and Clean Energy,2018,34(2):30-35.
[11]崔鹏程,史俊祎,文福拴,等.计及综合需求侧响应的能量枢纽优化配置[J].电力自动化设备,2017,37(6):101-109.CUI Pengcheng,SHI Junyi,WEN Fushuan,et al.Optimal energy hub configuration considering integrated demand response[J].Electric Power Automation Equipment,2017,37(6):101-109.
[12]孙宏斌,潘昭光,郭庆来.多能流能量管理研究:挑战与展望[J].电力系统自动化,2016,40(15):1-8.SUN Hongbin,PAN Zhaoguang,GUO Qinglai.Energy manage-ment for multi-energy flow:challenges and prospects[J].Auto-mation of Electric Power Systems,2016,40(15):1-8.
[13]加鹤萍,丁一,宋永华,等.信息物理深度融合背景下综合能源系统可靠性分析评述[J].电网技术,2019,43(1):1-11.JIA Heping,DING Yi,SONG Yonghua,HU Yishuang,et al.Review of reliability analysis for integrated energy systems with integration of cyber physical systems[J].Power System Technology,2019,43(1):1-11.
[14]GEIDL M,ANDERSSON G.Optimal power flow of multiple energy bcarriers[J].IEEE Transaction Power System,2007,22(01):145-155.
[15]潘益,梅飞,郑建勇,等.计及静态安全因素与热电最优潮流的综合能源系统联合运行优化模型[J].电网技术,2019,43(1):50-59.PAN Yi,MEI Fei,ZHENG Jianyong,et al.Operation optimization model for multi-integrated energy systems considering static security and optimal energy flow[J].Power System Technology,2019,43(1):50-59.
[16]张海峰,汪一波.考虑P2G的电-气综合能源系统分布式最优能量流[J].电测与仪表,2018,55(21):61-67.ZHANG Haifeng,WANG Yibo.Distributed optimal energy flow of electricity-gas integrated energy system considering P2G[J].Electrical Measurement&Instrumentation,2018,55(21):61-67.
[17]黄武靖,张宁,董瑞彪,等.多能源网络与能量枢纽联合规划方法[J].中国电机工程学报,2018,38(18):5425-5437.HUANG Wujing,ZHANG Ning,DONG Ruibiao,et al.Coordinated planning of multiple energy networks and energy hubs[J].Proceedings of the CSEE,2018,38(18):5425-5437.
[18]郑展.电-气互联综合能源系统优化运行的模型与算法研究[D].广东:华南理工大学,2018.
[19]AMJADY N,FATEMI H,ZAREIPOUR H.Solution of optimal powerflow subject to security constraints by a new improved bacterial foragingmethod[J].IEEE Transaction Power System,2012,27(3):1311-1323.
[20]杨健,刘军兴,张宝刚.基于氢燃料发动机的医院备用电源故障检测研究[J].电网与清洁能源,2017,33(1):150-153.YANG Jian,LIU Junxing,ZHANG Baogang.Research on hospitality standby power supply fault detection based on hydrogen fuel[J].Power System and Clean Energy,2017,33(1):150-153.
[21]章竹耀,郭晓丽,张新松,等.储能电池平抑风功率波动策略[J].电力系统保护与控制,2017,45(3):62-68.ZHANG Zhuyao,GUO Xiaoli,ZHANG Xinsong,et al.Strategy of smoothing wind power fluctuation based on storage battery[J].Power System Protection and Control,2017,45(3):62-68.
[22]贾春蓉,杨昌海,石屹,等.基于光伏变流器协调控制的提高风机渗透率研究[J].电网与清洁能源,2017,33(3):131-136.JIA Chunrong,YANG Changhai,SHI Yi,et al.Research of increasing wind turbines penetration based on PV inverter control schemes[J].Power System and Clean Energy,2017,33(3):131-136.
[23]白学祥,曾鸣,李源非,等.区域能源供给网络热电协同规划模型与算法[J].电力系统保护与控制,2017,45(5):65-72.BAI Xuexiang,ZENG Ming,LI Yuanfei,et al.The model and algorithm of thermoelectric collaborative planning of regional energy supply network[J].Power System Protectionand Control,2017,45(5):65-72.
[24]吴长元,吴杰康,翁子豪,等.新能源配电网多类型有功无功电源容量协同优化[J].广东电力,2018,31(3):98-108.WU Changyuan,WU Jiekang,WENT Zihao,et al.Collaborative optimization on multi-typed active and reactive power source capacities of new energy power distribution network[J].Guangdong Electric Power,2018,31(3):98-108.
[2]艾芊,郝然.多能互补、集成优化能源系统关键技术及挑战[J].电力系统自动化,2018,42(4):2-10.AI Qian,HAO Ran.Key technologies and challenges for multi-energy complementarity and optimization of integrated energy system[J].Automation of Electric Power Systems,2018,42(4):2-10.
[3]赵文会,李阮,付强.能源互联网下可再生能源项目规划研究[J].电网与清洁能源,2018,34(2):142-148.ZHAO Wenhui,LI Ruan,FU Qiang.Research on renewable energy project planning under energy internet[J].Power System and Clean Energy,2018,34(2):142-148.
[4]陆俊,朱炎平,彭文昊,等.计及用电行为聚类的智能小区互动化需求响应方法[J].电力系统自动化,2017,41(17):113-120.LU Jun,ZHU Yanping,PENG Wenhao,et al.Interactive demand response method of smart community considering clustering of electricity consumption behavior[J].Automation of Electric Power Systems,2017,41(17):113-120.
[5]姜子卿,郝然,艾芊.基于冷热电多能互补的工业园区互动机制研究[J].电力自动化设备,2017,37(6):260-267.JIANG Ziqing,HAO Ran,AI Qian.Interaction mechanism of industrial park based on multi-energy complementation[J].Electirc Power Automation Equipment,2017,37(6):260-267.
[6]史俊祎,文福拴,崔鹏程,等.参与需求响应的工业用户智能用电管理[J].电力系统自动化,2017,41(14):45-53.SHI Junyi,WEN Fushuan,CUI Pengcheng,et al.Intelligent energy management of industrial loads considering participation in demand response program[J].Automation of Electric Power Systems,2017,41(14):45-53.
[7]潘昭光,孙宏斌,郭庆来.面向能源互联网的多能流静态安全分析方法[J].电网技术,2016,40(6):1627-1634.PAN Zhaoguang,SUN Hongbin,GUO Qinglai.Energy internet oriented static security analysis method for multienergy flow[J].Power System Technology,2016,40(6):1627-1634.
[8]何天雨,卫志农,孙国强,等.基于网损等值负荷模型的改进直流最优潮流算法[J].电力系统自动化,2016,40(6):58-64.HE Tianyu,WEI Zhinong,SUN Guoqiang,et al.Modified direct current optimal power flow algorithm based on net loss equivalent load model[J].Automation of Electric Power Systems,2016,40(6):58-64.
[9]李扬,闫爱梅,田传波.区域综合能源管控系统设计与实现[J].供用电,2019,36(3):8-13.LI Yang,YAN Aimei,TIAN Chuanbo.Design and implementation of regional integrated energy management and control system[J].Distribution&Utilization,2019,36(3):8-13.
[10]唐艳梅,闫华光,朱彬若,等.基于自适应遗传算法的分布式综合能源系统优化设计[J].电网与清洁能源,2018,34(2):30-35.TANG Yanmei,YAN Huaguang,ZHU Binruo,et al.Optimal design of distributed integrated energy system based on adaptive algorithm[J].Power System and Clean Energy,2018,34(2):30-35.
[11]崔鹏程,史俊祎,文福拴,等.计及综合需求侧响应的能量枢纽优化配置[J].电力自动化设备,2017,37(6):101-109.CUI Pengcheng,SHI Junyi,WEN Fushuan,et al.Optimal energy hub configuration considering integrated demand response[J].Electric Power Automation Equipment,2017,37(6):101-109.
[12]孙宏斌,潘昭光,郭庆来.多能流能量管理研究:挑战与展望[J].电力系统自动化,2016,40(15):1-8.SUN Hongbin,PAN Zhaoguang,GUO Qinglai.Energy manage-ment for multi-energy flow:challenges and prospects[J].Auto-mation of Electric Power Systems,2016,40(15):1-8.
[13]加鹤萍,丁一,宋永华,等.信息物理深度融合背景下综合能源系统可靠性分析评述[J].电网技术,2019,43(1):1-11.JIA Heping,DING Yi,SONG Yonghua,HU Yishuang,et al.Review of reliability analysis for integrated energy systems with integration of cyber physical systems[J].Power System Technology,2019,43(1):1-11.
[14]GEIDL M,ANDERSSON G.Optimal power flow of multiple energy bcarriers[J].IEEE Transaction Power System,2007,22(01):145-155.
[15]潘益,梅飞,郑建勇,等.计及静态安全因素与热电最优潮流的综合能源系统联合运行优化模型[J].电网技术,2019,43(1):50-59.PAN Yi,MEI Fei,ZHENG Jianyong,et al.Operation optimization model for multi-integrated energy systems considering static security and optimal energy flow[J].Power System Technology,2019,43(1):50-59.
[16]张海峰,汪一波.考虑P2G的电-气综合能源系统分布式最优能量流[J].电测与仪表,2018,55(21):61-67.ZHANG Haifeng,WANG Yibo.Distributed optimal energy flow of electricity-gas integrated energy system considering P2G[J].Electrical Measurement&Instrumentation,2018,55(21):61-67.
[17]黄武靖,张宁,董瑞彪,等.多能源网络与能量枢纽联合规划方法[J].中国电机工程学报,2018,38(18):5425-5437.HUANG Wujing,ZHANG Ning,DONG Ruibiao,et al.Coordinated planning of multiple energy networks and energy hubs[J].Proceedings of the CSEE,2018,38(18):5425-5437.
[18]郑展.电-气互联综合能源系统优化运行的模型与算法研究[D].广东:华南理工大学,2018.
[19]AMJADY N,FATEMI H,ZAREIPOUR H.Solution of optimal powerflow subject to security constraints by a new improved bacterial foragingmethod[J].IEEE Transaction Power System,2012,27(3):1311-1323.
[20]杨健,刘军兴,张宝刚.基于氢燃料发动机的医院备用电源故障检测研究[J].电网与清洁能源,2017,33(1):150-153.YANG Jian,LIU Junxing,ZHANG Baogang.Research on hospitality standby power supply fault detection based on hydrogen fuel[J].Power System and Clean Energy,2017,33(1):150-153.
[21]章竹耀,郭晓丽,张新松,等.储能电池平抑风功率波动策略[J].电力系统保护与控制,2017,45(3):62-68.ZHANG Zhuyao,GUO Xiaoli,ZHANG Xinsong,et al.Strategy of smoothing wind power fluctuation based on storage battery[J].Power System Protection and Control,2017,45(3):62-68.
[22]贾春蓉,杨昌海,石屹,等.基于光伏变流器协调控制的提高风机渗透率研究[J].电网与清洁能源,2017,33(3):131-136.JIA Chunrong,YANG Changhai,SHI Yi,et al.Research of increasing wind turbines penetration based on PV inverter control schemes[J].Power System and Clean Energy,2017,33(3):131-136.
[23]白学祥,曾鸣,李源非,等.区域能源供给网络热电协同规划模型与算法[J].电力系统保护与控制,2017,45(5):65-72.BAI Xuexiang,ZENG Ming,LI Yuanfei,et al.The model and algorithm of thermoelectric collaborative planning of regional energy supply network[J].Power System Protectionand Control,2017,45(5):65-72.
[24]吴长元,吴杰康,翁子豪,等.新能源配电网多类型有功无功电源容量协同优化[J].广东电力,2018,31(3):98-108.WU Changyuan,WU Jiekang,WENT Zihao,et al.Collaborative optimization on multi-typed active and reactive power source capacities of new energy power distribution network[J].Guangdong Electric Power,2018,31(3):98-108.