Optimal Operation Analysis of Integrated Community Energy System Considering Source-Load Uncertainty

Abstract

An integrated community energy system (ICES) optimization operation method considering uncertainty of source and load is proposed in this paper. Firstly, the prediction error features of wind power, photovoltaic and load are analyzed. Then, the various aspects of ICES are modeled and analyzed. Based on this, a robust optimization model of ICES considering source-load prediction error is established. Finally, the chaotic particle swarm optimization (CPSO) algorithm is employed to solve the model, and the experimental optimization results under different prediction errors verify the correctness and effectiveness of the proposed model and method.