Source-Load-Storage Coordinated Optimization Dispatch for Distribution Networks Considering Source-Load Uncertainties

Abstract

The rapid increase of the distributed generation (DG) in the distribution network brings challenges to the distribution network operation. Owing to the volatility, uncertainty and uncontrollability, the traditional distribution network dispatch is difficult to realize friendly integration of the DGs. The distribution network optimization dispatch is an effective measure to deal with this issue. In this paper, a source-load-storage coordinated optimization dispatch scheme for distribution networks is proposed. Unlike the traditional optimal dispatch method with large errors under the high proportion of the DGs and flexible loads integrating to the distribution, the proposed optimization dispatch scheme considers the uncertainties of the source and load. Based on the scenario method, the uncertainty of Photovoltaic (PV), wind power, electric vehicle (EV) and load could be mitigated, and the typical power curves could be obtained. Based on the obtained typical power curves, the proposed optimization model is established with the objective of minimizing the operation cost of the distribution network. Then the planned value of distributed power output, the planned value of energy storage device operation, and the operation cost of the power system could be obtained by the optimization model. The case study performed in Matlab verifies the effectiveness and feasibility of the proposed optimization dispatch scheme.