Distributed day‐ahead scheduling of community energy management system group considering uncertain market prices using stochastic optimization

Abstract

Because of the deregulation of electric power, electricity supply has changed from an exclusive supply by general electric utilities in each region to a competitive supply by various electric utilities. Furthermore, the wholesale electric power exchange (EPX) has been established, and it is becoming possible to procure and sell electricity through the market. Because the prices in the EPX are uncertain, a planning method considering the uncertainty is needed. A community energy management system (CEMS) stands between energy consumers in the community and energy suppliers. A CEMS purchases energy from external power supply sources and operates the equipment to provide ancillary service to consumers. In this paper, we consider the dayahead scheduling problem of a CEMS group using stochastic optimization.