摘要
随着售电市场的开放和居民智能家居的普及,设计和实现大规模居民用户参与电网互动的需求响应项目已成为售电公司优化运营的重点内容。针对考虑居民需求响应的售电公司运行决策问题,该文在详细分析居民负荷运行特性的基础上,以居民用户需求响应前后用电成本不增加为前提,建立以售电公司购售电收益最大化为目标的日前市场势博弈决策模型;针对大规模居民负荷博弈策略迭代问题,提出以居民小区代理协调居民参与者博弈策略更新的分布式并行博弈求解算法。算例分析表明,所提模型能够在保障居民用户利益的前提下,有效降低售电公司的购电成本及居民用户负荷峰值。所提算法能够在较短时间内收敛至纳什均衡,且对于大规模居民需求响应仍能保持较好的收敛性。
With the opening of electricity market and the popularization of residential intelligent home,the design and implementation of demand response(DR)projects for large-scale residents to participate in grid interaction will be one of the key points for the operation optimization of electricity retailers.In view of decision-making of the electricity retailer considering residential DR,the characteristics of residential load were analyzed in detail,and then a decision model of the electricity retailer in day-ahead market was established based on potential game,aiming at maximizing its profits with the premise of no increasing of the residential electricity cost after DR.Thereafter,in order to solve the strategies iterative problems with the large-scale residential players,a distributed parallel iterative algorithm was put forward,which could coordinate strategies updating of residential players via their community agents.The simulation results show that the proposed model can protect the residential users’interests as well as effectively reduce the cost of purchasing electricity and the peak load of the residents.The proposed algorithm can converge to Nash equilibrium in a short time,and still keep a good convergence for the large-scale residential DR.
作者
涂京
周明
李庚银
栾开宁
TU Jing;ZHOU Ming;LI Gengyin;LUAN Kaining(State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China;State Grid Jiangsu Electric Power Co.Ltd.,Nanjing 210024,Jiangsu Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2020年第2期400-411,共12页
Proceedings of the CSEE
基金
国家重点研发计划项目(2016YFB0901100)
国家自然科学基金项目(U1866204,51577061).
关键词
需求响应
售电公司
势博弈
分布式优化
居民负荷
demand response
electricity retailer
potential game
distributed optimization
residential load
作者简介
涂京(1992),男,博士研究生,研究方向为智能用电、需求响应等,tujing_128@163.com;周明(1967),女,教授,博士生导师,研究方向为电力系统优化运行、电力市场等,zhouming@ncepu.edu.cn。
