Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2019-01-28 Cooperative journals: 《计算机应用研究》
Abstract： In the background of smart grid, in connection of the shortage of fossil energy and the high pressure of peak-time power supply, this paper developed a method of complementary power supply of photovoltaic and fossil fuel. It constructed a real-time pricing model of user-side microgrid based on social welfare maximization. In the model, the power supplier coordinated the two types of energy sources by real-time pricing. Besides, this paper designed a real-time pricing algorithm to solve the model. The simulation results show that compared with the large power grid using fossil energy alone, the complementary power supply mode can effectively reduce the power supply of fossil energy and electricity price in peak time slots, and enhances the social welfare. The method offers a reference for the effective management of smart grid in future.
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