Stochastic Multi-Objective Scheduling Approach for Integrated Community Energy System

In order to achieve economic and environmental benefits of energy management at community level, a stochastic multi-objective scheduling approach (SMSA) for integrated community energy system (ICES) considering the uncertainties from renewable energy resources (RES) and electric/heating loads is proposed in this paper. The ICES is composed of three energy networks, namely the electric distribution network, the natural gas network and the energy centers (ECs). Mathematical model of the ICES is established firstly. Then, a multi-objective scheduling method considering the operational constraints of the electric distribution network, the natural gas network and ECs is developed. The chance-constrained programming (CCP) method is used to develop the probabilistic constraints which incorporate the uncertainties of the RES and electric/heating loads into the SMSA to a certain confidence level. Numerical studies demonstrate that the proposed SMSA can provide robust scheduling schemes for ICES in aspect of economy, environmental friendliness and security with the uncertainties from the forecasting data being considered.