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电力零售商引导下智能电网多方利益均衡策略
引用本文:李军祥,王宇倩,孙权,党亚峥,高岩.电力零售商引导下智能电网多方利益均衡策略[J].运筹与管理,2022,31(2):209-215.
作者姓名:李军祥  王宇倩  孙权  党亚峥  高岩
作者单位:上海理工大学 管理学院,上海 200093
基金项目:国家自然科学基金资助项目(71572113,71871144);国家自然科学基金匹配项目(1P16303003,2020KJFZ034,2019KJFZ048,2018KJFZ035);上海理工大学大学生创新训练计划项目(XJ2021150,XJ2021160,XJ2021165,XJ2021191,XJ2021206)。
摘    要:文提出以电力零售商为主导的智能电网系统运行策略,电力零售商根据发电商供电价和发电量以收益最大化为目标输出用户实时电价。在供能侧对不同类型供电商上网顺序进行优化,考虑风电光伏能源出力不确定的鲁棒性分析,在维持平衡供需的基础上优化供电商利益。在需求侧根据用电规模对用户进行分类,按供电重要性进行二次分类,使用粒子群算法求解用户最优用电量。仿真结果显示电力零售商在电力系统中维护各方利益均衡,对供电商和用户都存在潜在的好处。

关 键 词:智能电网  实时定价  电力零售商  用户分类  
收稿时间:2019-07-06

Multi-interest Balance Strategy of Smart Grid Guided by Retailers
LI Jun-xiang,WANG Yu-qian,SUN Quan,DANG Ya-zheng,GAO Yan.Multi-interest Balance Strategy of Smart Grid Guided by Retailers[J].Operations Research and Management Science,2022,31(2):209-215.
Authors:LI Jun-xiang  WANG Yu-qian  SUN Quan  DANG Ya-zheng  GAO Yan
Affiliation:Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:This paper proposes a smart grid system operation strategy dominated by power retailers.The power retailers output users’real-time electricity price according to the electricity supply price and generation capacity with the goal of maximizing revenue.On the power supply side,the online order of different types of power suppliers is optimized,and the robustness analysis of the uncertain output of wind power photovoltaic energy is considered to optimize the interests of power suppliers on the basis of maintaining a balance between supply and demand.On the demand side,users are classified according to the scale of power consumption,secondary classification is carried out according to the importance of power supply,and particle swarm optimization algorithm is used to solve the optimal power consumption of users.The simulation results show that the power retailers maintain the balance of interests of all parties in the power system,which has potential benefits for both suppliers and users.
Keywords:smart grid  real-time pricing  power retailer  user classification
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