基于能源集线器的微能源网建模与多目标优化调度
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摘要
提高能源利用率是实现能源可持续发展的重要举措。基于能源集线器的概念,提出了微能源网的通用化建模方法,得到线性的功率平衡方程。进一步地,以系统总收益最大化和能源利用率最大化为优化目标,构建了微能源网多目标优化调度模型。结合加权和法在Matlab和GAMS软件上求解得到多目标优化调度模型的Pareto前沿,并采用模糊隶属度函数求取最优折中解,作为多目标优化调度方案。最后,构建典型的微能源网进行验算。结果表明,所提出的通用化建模方法具有直观性和通用性,所提出的多目标优化调度模型能为调度决策者提供多维度的调度方案,兼顾了系统运行的经济性和高效性。
Improving energy efficiency is an important measure to achieve sustainable energy development. Based on the concept of energy hub, a generalized modeling method for micro energy grid is proposed and the linear power balance equation is obtained. Further, aiming at maximum revenue and maximum energy efficiency, the multi-objective optimal dispatch model for micro energy grid is established, where the Pareto frontier is obtained by Matlab and GAMS software combined with weighted sum method. And the fuzzy membership function is adopted to obtain the optimal compromise solution, which is used as a multi-objective optimal dispatch scheme. Finally, a typical micro energy grid is constructed for simulation, where the results suggest that the proposed generalized modeling method is intuitive and versatile and the proposed multi-objective optimal dispatch model can provide multi-dimensional dispatch schemes for decision makers, taking into account both the system operational economy and efficiency.
Improving energy efficiency is an important measure to achieve sustainable energy development. Based on the concept of energy hub, a generalized modeling method for micro energy grid is proposed and the linear power balance equation is obtained. Further, aiming at maximum revenue and maximum energy efficiency, the multi-objective optimal dispatch model for micro energy grid is established, where the Pareto frontier is obtained by Matlab and GAMS software combined with weighted sum method. And the fuzzy membership function is adopted to obtain the optimal compromise solution, which is used as a multi-objective optimal dispatch scheme. Finally, a typical micro energy grid is constructed for simulation, where the results suggest that the proposed generalized modeling method is intuitive and versatile and the proposed multi-objective optimal dispatch model can provide multi-dimensional dispatch schemes for decision makers, taking into account both the system operational economy and efficiency.
引文
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[17]曾鸣,韩旭,李源非,等.基于Tent映射混沌优化NSGA-II算法的综合能源系统多目标协同优化运行[J].电力自动化设备,2017,37(6):220-228.ZENG Ming,HAN Xu,LI Yuanfei,et al.Multi-objective cooperative optimization based on Tent mapping chaos optimization NSGA-II algorithm for integrated energy system[J].Electric Power Automation Equipment,2017,37(6):220-228.
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[19]施锦月,许健,曾博,等.基于热电比可调模式的区域综合能源系统双层优化运行[J].电网技术,2016,40(10):2959-2966.SHI Jinyue,XU Jian,ZENG Bo,et al.A bi-level optimal operation for energy hub based on regulating heat-to-electric ratio mode[J].Power System Technology,2016,40(10):2959-2966.
[20]李兴,杨智斌,颜远,等.考虑换流站损耗特性的交直流系统多目标无功优化控制[J].电力系统保护与控制,2017,45(9):119-125.LI Xing,YANG Zhibin,YAN Yuan,et al.Multi-objective reactive power optimal control of AC-DC systems including power loss characteristics of converter stations[J].Power System Protection and Control,2017,45(9):119-125.
[21]史旭栋,高岳林,韩俊茹.基于模糊推理的粒子群优化算法[J].河南师范大学学报(自然科学版),2017,45(2):114-124.SHI Xudong,GAO Yuelin,HAN Junru.Particle swarm optimization algorithm based on fuzzy reason[J].Journal of Henan Normal University(Natural Science Edition),2017,45(2):114-124.
[22]吴聪,唐巍,白牧可,等.基于能源路由器的用户侧能源互联网规划[J].电力系统自动化,2017,41(4):20-28.WU Cong,TANG Wei,BAI Muke,et al.Energy router based planning of energy internet at user side[J].Automation of Electric Power Systems,2017,41(4):20-28.
[23]陈泽兴,张勇军,许志恒,等.计及需求价格弹性的区域能源中心建模与日前优化调度[J].电力系统自动化,2018,42(12):27-35.CHEN Zexing,ZHANG Yongjun,XU Zhiheng,et al.Modelling and optimal day-ahead dispatch of district energy centre considering price elasticity of energy load demand[J].Automation of Electric Power Systems,2018,42(12):27-35.
[2]张勇军,陈泽兴,蔡泽祥,等.新一代信息能源系统:能源互联网[J].电力自动化设备,2016,36(9):1-7.ZHANG Yongjun,CHEN Zexing,CAI Zexiang,et al.New generation of cyber-energy system:energy internet[J].Electric Power Automation Equipment,2016,36(9):1-7.
[3]孙可,吴臻,尚楠,等.以省为实体的区域能源互联网内涵框架及发展方向分析[J].电力系统保护与控制,2017,45(5):1-9.SUN Ke,WU Zhen,SHANG Nan,et al.Provincial regional energy internet framework and development tendency analysis[J].Power System Protection and Control,2017,45(5):1-9.
[4]TRIFONOV T O.Coordination of battery energy storage and power-to-gas in distribution systems[J].Protection and Control of Modern Power Systems,2017,2(2):421-428.DOI:10.1186/s41601-017-0072-y.
[5]高志远,曹阳,徐昊亮,等.电力系统关键技术发展论刍议[J].电力系统保护与控制,2017,45(17):14-17.GAO Zhiyuan,CAO Yang,XU Haoliang,et al.Primary discussion on the key technologies development of power system[J].Power System Protection and Control,2017,45(17):14-17.
[6]高峰,曾嵘,屈鲁,等.能源互联网概念与特征辨识研究[J].中国电力,2018,51(8):10-16.GAO Feng,ZENG Rong,QU Lu,et al.Research on identification of concept and characteristics of energy internet[J].Electric Power,2018,51(8):10-16.
[7]王伟亮,王丹,贾宏杰,等.能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J].中国电机工程学报,2016,36(12):3292-3306.WANG Weiliang,WANG Dan,JIA Hongjie,et al.Review of steady-state analysis of typical regional integrated energy system under the background of energy internet[J].Proceedings of the CSEE,2016,36(12):3292-3306.
[8]PARISIO A,DEL VECCHIO C,VACCARO A.A robust optimization approach to energy hub management[J].International Journal of Electrical Power&Energy Systems,2012,42(1):98-104.
[9]徐宪东,贾宏杰,靳小龙,等.区域综合能源系统电/气/热混合潮流算法研究[J].中国电机工程学报,2015,35(14):3634-3642.XU Xiandong,JIA Hongjie,JIN Xiaolong,et al.Study on hybrid heat-gas-power flow algorithm for integrated community energy system[J].Proceedings of the CSEE,2015,35(14):3634-3642.
[10]陈沼宇,王丹,贾宏杰,等.考虑P2G多源储能型微网日前最优经济调度策略研究[J].中国电机工程学报,2017,37(11):3067-3077.CHEN Zhaoyu,WANG Dan,JIA Hongjie,et al.Research on optimal day-ahead economic dispatching strategy for microgrid considering P2G and multi-source energy storage system[J].Proceedings of the CSEE,2017,37(11):3067-3077.
[11]王业磊,赵俊华,文福拴,等.具有电转气功能的多能源系统的市场均衡分析[J].电力系统自动化,2015,39(21):1-10,65.WANG Yelei,ZHAO Junhua,WEN Fushuan,et al.Market equilibrium of multi-energy system with powerto-gas functions[J].Automation of Electric Power Systems,2015,39(21):1-10,65.
[12]赵霞,杨仑,瞿小斌,等.电-气综合能源系统能流计算的改进方法[J].电工技术学报,2018,33(3):467-477.ZHAO Xia,YANG Lun,QU Xiaobin,et al.An improved energy flow calculation method for integrated electricity and natural gas system[J].Transactions of China Electrotechnical Society,2018,33(3):467-477.
[13]张义志,王小君,和敬涵,等.考虑供热系统建模的综合能源系统最优能流计算方法[J].电工技术学报,2019,34(3):562-570.ZHANG Yizhi,WANG Xiaojun,HE Jinghan,et al.Optimal energy flow calculation method of integrated energy system considering thermal system modeling[J].Transactions of China Electrotechnical Society,2019,34(3):562-570.
[14]马腾飞,吴俊勇,郝亮亮,等.基于能源集线器的微能源网能量流建模及优化运行分析[J].电网技术,2018,42(1):179-186.MA Tengfei,WU Junyong,HAO Liangliang,et al.The energy flow modeling and optimal operation analysis of micro energy grid based on energy hub[J].Power System Technology,2018,42(1):179-186.
[15]THANHTUNG H A,ZHANG Y J,THANG V V,et al.Energy hub modeling to minimize residential energy costs considering solar energy and BESS[J].Journal of Modern Power Systems&Clean Energy,2017,5(3):389-399.
[16]林威,靳小龙,穆云飞,等.区域综合能源系统多目标最优混合潮流算法[J].中国电机工程学报,2017,37(20):5829-5839.LIN Wei,JIN Xiaolong,MU Yunfei,et al.Multiobjective optimal hybrid power flow algorithm for integrated local area energy system[J].Proceedings of the CSEE,2017,37(20):5829-5839.
[17]曾鸣,韩旭,李源非,等.基于Tent映射混沌优化NSGA-II算法的综合能源系统多目标协同优化运行[J].电力自动化设备,2017,37(6):220-228.ZENG Ming,HAN Xu,LI Yuanfei,et al.Multi-objective cooperative optimization based on Tent mapping chaos optimization NSGA-II algorithm for integrated energy system[J].Electric Power Automation Equipment,2017,37(6):220-228.
[18]陈柏森,廖清芬,刘涤尘,等.区域综合能源系统的综合评估指标与方法[J].电力系统自动化,2018,42(4):174-182.CHEN Baisen,LIAO Qingfen,LIU Dichen,et al.Comprehensive evaluation indices and methods for regional integrated energy system[J].Automation of Electric Power Systems,2018,42(4):174-182.
[19]施锦月,许健,曾博,等.基于热电比可调模式的区域综合能源系统双层优化运行[J].电网技术,2016,40(10):2959-2966.SHI Jinyue,XU Jian,ZENG Bo,et al.A bi-level optimal operation for energy hub based on regulating heat-to-electric ratio mode[J].Power System Technology,2016,40(10):2959-2966.
[20]李兴,杨智斌,颜远,等.考虑换流站损耗特性的交直流系统多目标无功优化控制[J].电力系统保护与控制,2017,45(9):119-125.LI Xing,YANG Zhibin,YAN Yuan,et al.Multi-objective reactive power optimal control of AC-DC systems including power loss characteristics of converter stations[J].Power System Protection and Control,2017,45(9):119-125.
[21]史旭栋,高岳林,韩俊茹.基于模糊推理的粒子群优化算法[J].河南师范大学学报(自然科学版),2017,45(2):114-124.SHI Xudong,GAO Yuelin,HAN Junru.Particle swarm optimization algorithm based on fuzzy reason[J].Journal of Henan Normal University(Natural Science Edition),2017,45(2):114-124.
[22]吴聪,唐巍,白牧可,等.基于能源路由器的用户侧能源互联网规划[J].电力系统自动化,2017,41(4):20-28.WU Cong,TANG Wei,BAI Muke,et al.Energy router based planning of energy internet at user side[J].Automation of Electric Power Systems,2017,41(4):20-28.
[23]陈泽兴,张勇军,许志恒,等.计及需求价格弹性的区域能源中心建模与日前优化调度[J].电力系统自动化,2018,42(12):27-35.CHEN Zexing,ZHANG Yongjun,XU Zhiheng,et al.Modelling and optimal day-ahead dispatch of district energy centre considering price elasticity of energy load demand[J].Automation of Electric Power Systems,2018,42(12):27-35.