Optimal Day-ahead Scheduling of Microgrid Participating in Energy and Spinning Reserve Markets

With the continuous deepening of electricity market reform and the rapid development of renewable energy in China, a large number of distributed energy resources (DERs) have appeared in the distribution network. Microgrid (MG) can integrate them through advanced technology. As a result, DERs can be safely connected to the grid and participate in market transactions. MG can not only interact with the superior main grid, selling redundant power to it, but also participate in the ancillary service market as an independent ancillary service provider. In this paper, a day-ahead optimal scheduling model of MG participating in both energy market and spinning reserve market is established. There are many kinds of reserve resources in MG, and they are classified according to their different characteristics to participate in spinning reserve markets with different requirements. At the same time, considering the influence of the uncertainty of the renewable energy, the fuzzy parameters are used to fit it. The testing example shows that the microgrid operator weigh their own revenue in the electricity and reserve market to schedule its internal resources, and the results verify the impact of uncertainty of renewable energy on its total revenue.