ADMM-Based Distributed Optimal Dispatch of Integrated Energy System Considering Uncertainties of Source and Load

Abstract

This work proposes a distributed optimization strategy for integrated energy system (IES) based on alternating direction method of multipliers (ADMM). Firstly, uncertain factors from source and load sides are analyzed, and scenario method is utilized to describe their stochastic characteristics. Then, IES optimal scheduling model is established. Next, the principle of ADMM is clarified and aforementioned model is thus reformulated via ADMM to realize the distributed solution for multi-energy complementation. Finally, the effectiveness and feasibility of proposed strategy are verified by the results of case study.