基于ADMM-GBS的智能电网多供电商多用户实时定价策略

Real-time pricing strategy in multi-supplier and multi-user smart grid based on ADMM-GBS

多供电商是智能电网未来发展趋势之一。考虑为有多供电商多用户的智能电网系统构建社会福利最大化模型,在用户配备蓄电池和可再生能源发电装置的条件下,为用户的分类电器,设置影响启停状态的心理电价,同时增加每日总电费约束,对实时定价策略进行了研究,提出了一种基于ADMM-GBS的分布式实时定价算法。将原问题进行两次解耦,通过求解底层子问题,进而实现外层目标函数的优化。系统仿真结果,验证了所构建模型合理性,并证实了所提实时定价算法在多供应商多用户情形下的可行性与有效性。

Multi-supplier system is one of the future trends of smart power grid. A social welfare maximization model is constructed for a smart grid system with multiple power suppliers and multiple users. Under the condition that users are equipped with energy storage and renewable energy sources generation devices,we set the psychological price for the users’ different kinds of electrical appliances which affects the start-up and stop status,and increase the daily total electricity cost constraint to study the real-time pricing strategy. A distributed real-time pricing algorithm based on ADMM-GBS is proposed,which decouples the original problem twice and optimizes the outer objective function by solving the bottom subproblems. System simulation results verify the rationality of the model,and prove the feasibility and effectiveness of the proposed real-time pricing algorithm in the case of multi-supplier and multi-user.