Optimal Dispatch of an Island MG Including a Multiple Energy Storage System

The integrated energy MG including electric heat and gas has become a significant part of energy internet. In order to reduce pollution from gas emissions and achieve the economic goal, the multiple energy storage system(MESS) is configured. It is very important to study the economic dispatch problem for an integrated energy microgrid(MG). Hence, this paper proposes a multi-objective optimization scheduling model for an island MG including a MESS. This island MG consists of a wind turbine (WT), a photovoltaic battery (PV), a fuel cell (FC), an electric boiler (EB), an electric storage, (ES) a heat storage (HS) and a gas storage(GS). Minimum economic cost and environmental cost are considered as the two objectives in the operation of this multiple energy source MG system. To solve this two-objective optimization problem, the multi-objective bacterial colony chemotaxis (MOBCC) algorithm is utilized to obtain the operation modes of the micro-sources and the Pareto optimal solution set. Simulation results show that the proposed method is effective and decision makers can choose the appropriate dispatch scheduling in this manner.