参与双重市场的区域综合能源系统日前优化调度
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摘要
分布式新能源和电负荷等不确定变量是区域综合能源系统(RIES)安全稳定运行面临的巨大挑战之一。根据不确定变量的概率分布,运用场景分析技术生成典型场景拟合次日运行工况及其发生概率。在此基础上考虑不同供能系统间的互补特性,同时参与能量市场和旋转备用市场,建立日前优化调度模型。模型评估RIES各时段备用资源潜力和成本,以调度方案成本和调整成本期望值之和最低为目标函数,制定运行计划和安排备用资源。结合粒子群算法和内点法对模型进行求解。算例表明,该模型通过发挥RIES多能互补优势和合理安排备用资源应对源荷波动,提高了能源供应的经济性和可靠性。
Uncertain variables such as distributed new energy and electric load are one of the greatest challenges facing regional integrated energy system(RIES)to maintain the safe and stable operation.According to the probability distribution of the variables,scenario analysis technology is applied to generate typical scenarios to fit operation conditions of next day and the occurrence probability.Based on this,a day-ahead optimal scheduling model,which utilizes complementary characteristics of different energy supply systems,is presented while participating in energy market and spinning reserve market.The model proposed evaluates the potential and cost of reserves during each period,and formulates the operation plan including the arrangement of reserves with the object function to minimize the sum of the scheduling plan cost and adjustment cost expectation.A powerful approach combining particle swarm algorithm with interior point algorithm is designed to solve the model.The example verifies that the model can improve the economy and reliability of energy supply by taking full advantage of the multi-energy complementary characteristic of RIES and reasonably arrange the reserves to deal with source-load fluctuations.
Uncertain variables such as distributed new energy and electric load are one of the greatest challenges facing regional integrated energy system(RIES)to maintain the safe and stable operation.According to the probability distribution of the variables,scenario analysis technology is applied to generate typical scenarios to fit operation conditions of next day and the occurrence probability.Based on this,a day-ahead optimal scheduling model,which utilizes complementary characteristics of different energy supply systems,is presented while participating in energy market and spinning reserve market.The model proposed evaluates the potential and cost of reserves during each period,and formulates the operation plan including the arrangement of reserves with the object function to minimize the sum of the scheduling plan cost and adjustment cost expectation.A powerful approach combining particle swarm algorithm with interior point algorithm is designed to solve the model.The example verifies that the model can improve the economy and reliability of energy supply by taking full advantage of the multi-energy complementary characteristic of RIES and reasonably arrange the reserves to deal with source-load fluctuations.
引文
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[13]黄伟,杨舒文,葛良军.基于概率潮流的主动配电网供需群体协同优化运行策略[J].电力系统自动化,2017,41(13):39-44.DOI:10.7500/AEPS20170116009.HUANG Wei,YANG Shuwen,GE Liangjun.Operation strategy for source and load coordinated optimization of active distribution network based on probabilistic load flow[J].Automation of Electric Power Systems,2017,41(13):39-44.DOI:10.7500/AEPS20170116009.
[14]胡美玉,胡志坚.多场景技术与盲数相结合的配电系统可靠性评估[J].电力系统保护与控制,2017,45(1):21-27.HU Meiyu,HU Zhijian.Distribution system reliability evaluation based on multiple scenarios technique and blind number[J].Power System Protection and Control,2017,45(1):21-27.
[15]袁桂丽,王琳博,王宝源.基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析[J].中国电机工程学报,2017,37(17):4974-4985.YUAN Guili,WANG Linbo,WANG Baoyuan.Optimal dispatch of heat-power load and economy benefit analysis based on decoupling of heat and power of virtual power plant[J].Proceedings of the CSEE,2017,37(17):4974-4985.
[16]孙建军,张世泽,曾梦迪,等.考虑分时电价的主动配电网柔性负荷多目标优化控制[J].电工技术学报,2018,33(2):401-412.SUN Jianjun,ZHANG Shize,ZENG Mengdi,et al.Multiobjective optimal control for flexible load in active distribution network considering time-of-use tariff[J].Transactions of China Electrotechnical Society,2018,33(2):401-412.
[2]CHEN Xinyu,MCELROY M B,KANG Chongqing.Integrated energy systems for higher wind penetration in China:formulation,implementation,and impacts[J].IEEETransactions on Power Systems,2018,33(2):1309-1319.
[3]徐雨田,廖清芬,刘涤尘,等.市场环境下考虑主动管理措施的双层综合能源规划方法[J].电力系统自动化,2018,42(18):114-122.DOI:10.7500/AEPS20180123005.XU Yutian,LIAO Qingfen,LIU Dichen,et al.Bi-level integrated energy planning method considering active management measures in electricity market environment[J].Automation of Electric Power Systems,2018,42(18):114-122.DOI:10.7500/AEPS20180123005.
[4]贾宏杰,王丹,徐宪东,等.区域综合能源系统若干问题研究[J].电力系统自动化,2015,39(7):198-207.JIA Hongjie,WANG Dan,XU Xiandong,et al.Research on some key problems related to integrated energy systems[J].Automation of Electric Power Systems,2015,39(7):198-207.
[5]余晓丹,徐宪东,陈硕翼,等.综合能源系统与能源互联网简述[J].电工技术学报,2016,31(1):1-13.YU Xiaodan,XU Xiandong,CHEN Shuoyi,et al.A brief review to integrated energy system and energy internet[J].Transactions of China Electrotechnical Society,2016,31(1):1-13.
[6]顾伟,陆帅,王珺,等.多区域综合能源系统热网建模及系统运行优化[J].中国电机工程学报,2017,37(5):1305-1316.GU Wei,LU Shuai,WANG Jun,et al.Modeling of the heating network for multi-district integrated energy system and its operation optimization[J].Proceedings of the CSEE,2017,37(5):1305-1316.
[7]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.Energy flow modeling and optimal operation analysis of micro energy grid based on energy hub[J].Power System Technology,2018,42(1):179-186.
[8]王伟亮,王丹,贾宏杰,等.考虑运行约束的区域电力-天然气-热力综合能源系统能量流优化分析[J].中国电机工程学报,2017,37(24):7108-7120.WANG Weiliang,WANG Dan,JIA Hongjie,et al.Analysis of energy flow optimization in regional electricity-gas-heat integrated energy system considering operational constraints[J].Proceedings of the CSEE,2017,37(24):7108-7120.
[9]RASTEGAR Mohammad,ZAREIPOUR Hamidreza.Aprobabilistic energy management scheme for renewable-based residential energy hubs[J].IEEE Transactions on Smart Grid,2017,8(5):2217-2227.
[10]刘涤尘,马恒瑞,王波,等.含冷热电联供及储能的区域综合能源系统运行优化[J].电力系统自动化,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.LIU Dichen,MA Hengrui,WANG Bo,et al.Operation optimization of regional integrated energy system with CCHPand energy storage system[J].Automation of Electric Power Systems,2018,42(4):113-120.DOI:10.7500/AEPS20170512002.
[11]白牧可,王越,唐巍,等.基于区间线性规划的区域综合能源系统日前优化调度[J].电网技术,2017,41(12):3963-3970.BAI Muke,WANG Yue,TANG Wei,et al.Day-ahead optimal dispatching of regional integrated energy system based on interval linear programming[J].Power System Technology,2017,41(12):3963-3970.
[12]周亦洲,孙国强,黄文进,等.多区域虚拟电厂综合能源协调调度优化模型[J].中国电机工程学报,2017,37(23):6780-6790.ZHOU Yizhou,SUN Guoqiang,HUANG Wenjin,et al.Optimized multi-regional integrated energy coordinated scheduling of a virtual power plant[J].Proceedings of the CSEE,2017,37(23):6780-6790.
[13]黄伟,杨舒文,葛良军.基于概率潮流的主动配电网供需群体协同优化运行策略[J].电力系统自动化,2017,41(13):39-44.DOI:10.7500/AEPS20170116009.HUANG Wei,YANG Shuwen,GE Liangjun.Operation strategy for source and load coordinated optimization of active distribution network based on probabilistic load flow[J].Automation of Electric Power Systems,2017,41(13):39-44.DOI:10.7500/AEPS20170116009.
[14]胡美玉,胡志坚.多场景技术与盲数相结合的配电系统可靠性评估[J].电力系统保护与控制,2017,45(1):21-27.HU Meiyu,HU Zhijian.Distribution system reliability evaluation based on multiple scenarios technique and blind number[J].Power System Protection and Control,2017,45(1):21-27.
[15]袁桂丽,王琳博,王宝源.基于虚拟电厂“热电解耦”的负荷优化调度及经济效益分析[J].中国电机工程学报,2017,37(17):4974-4985.YUAN Guili,WANG Linbo,WANG Baoyuan.Optimal dispatch of heat-power load and economy benefit analysis based on decoupling of heat and power of virtual power plant[J].Proceedings of the CSEE,2017,37(17):4974-4985.
[16]孙建军,张世泽,曾梦迪,等.考虑分时电价的主动配电网柔性负荷多目标优化控制[J].电工技术学报,2018,33(2):401-412.SUN Jianjun,ZHANG Shize,ZENG Mengdi,et al.Multiobjective optimal control for flexible load in active distribution network considering time-of-use tariff[J].Transactions of China Electrotechnical Society,2018,33(2):401-412.