Multi-Objective Optimal Method for Three Energy Entities in Integrated Community Energy System

As the underlying terminal of multi-energy system, integrated community energy system (ICES) is featured with multi-energy complementary and integrated optimization operation. It is important to research on its optimal operation method for the development of integrated energy system and the consumption of renewable energy. Firstly, a model of ICES is established, including energy operator, user with distributed PV and EV charging agent. Secondly, a multi-objective optimal model is established, in which the three types of energy entities pursuit their own maximized interests rationally. Finally, the proposed model is solved in a typical winter scenario of the business ICES. Results demonstrate that the energy operator can get a certain profit by selling energy to the others. User with distributed photovoltaic (PV) participating in the profit competition is able to increase the utilization of PV resource and reduce the cost of energy using by selling its remaining PV resource. By choosing the bids of other entities and setting the best charging strategy, electric vehicle (EV) charging agent can not only reduce the cost of energy using, but also help users to consume the excessive PV power and reduce the peak load of distribution network in early peak hours.