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智能电网的发展对传统电网的可靠性和经济性带来重大挑战,分布式发电系统在未来智能电网能源供应中将起到重要作用,其合理规划能降低系统网损、延缓电网建设。动态实时定价已经成为一个重要的提高智能电网效率的机制,在放宽管制的实际电力市场中,相互竞争多个电力供应商有可能同时存在。本文对具有多个分布式电源的微网发电系统进行研究,一个建立在微网系统内部电力需求基础上的动态Stackelberg博弈模型被构建刻画微网系统实时竞价和电力供应策略,得到使各分布式电源获得最大盈利的实时定价决策方案,并构造均衡有效性概念来体现均衡价格为所有分布式电源带来的最大总盈利与直接整合所有分布式电源带来的最大总盈利对比关系,最后通过数值例子验证所提出的定价机制的合理性与有效性。
The development of smart grid poses major challenges to the reliability and economy of traditional power grids. Distributed generation systems will play an important role in the future smart grid energy supply. Rational planning can reduce system losses and delay grid construction. Dynamic real-time pricing has become an important mechanism to improve the efficiency of smart grids. In a deregulated real power market, it is possible for multiple power suppliers to compete with each other. In this paper, a multi-distributed power microgrid power generation system is studied. A dynamic Stackelberg game model based on the internal grid power demand is constructed to describe the real-time bidding and power supply strategy of the microgrid system. Power real-time pricing decision-making for the most profitable power and construct the concept of equilibrium effectiveness to reflect the equilibrium price The maximum total profit for all distributed power sources and the maximum total profit of all distributed generation directly integrated, and finally through the value The example verifies the rationality and effectiveness of the proposed pricing mechanism.