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.

Key words: smart grid, real-time pricing, power retailer, user classification

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