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中文摘要：
实时定价是智能电网需求侧管理（DSM）的主要手段之一,电力零售商不同时段的供电价格,会影响用户对电力资源的消费。对电力零售商在供电高峰时段定价、低峰时段定价建立Stackelberg博弈模型,分析二者在智能电网实时定价中的策略互动,求出均衡解,使得电力零售商在高峰时段和低峰时段定价,两个时段都获得最大收益。仿真模拟结果验证了此动态实时定价结果的有效性,表明在不同时段进行实时定价的机制下,智能电网中的零售商收益最佳,并且能够可持续经营。
英文摘要：
Real-time pricing is a major means of demand-side management （DSM）. For elec tricity retailers supplying electricity in different real-time pricing game decision-making solution. ferent periods will affect the users＇electricity lished for process during peak periods and low period, real-time dynamic pricing provides a new Electricity supplying price of retailers during dif- consumption. A Stackelberg game model is estab peak periods. By analyzing the strategy interaction of both to achieve getting equilibrium, retailers can get maximum profit during high peaks and the low peaks. Simulation results show validity of the real-time dynamic pricing. With the mechanism of real-time pricing in different periods, retailers can gain the optimal revenue and sustainable management of smart grids.
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