Optimum Configuration of Grid-connected Microgrid Based on Probability Model

Abstract

Due to the different location and resource endowments of microgrids, it is difficult to unify or standardize different microgrid configurations. At present, under the policy guidance that wind power and photovoltaic power generation need to be completely eliminated, microgrids have further increased the peak-to-valley difference than the simple load due to the irregularity of their internal source, network, load and storage configuration. The trend presents a random two-way, which causes difficulties in the configuration of relay protection and uneconomical operation of the line. This paper considers the probability characteristics of wind power and photovoltaic output, and the economic operation conditions of integrated power lines. The particle swarm optimization algorithm is used to give the internal configuration optimization model of the networked microgrid. This paper establishes the optimization goal from the perspective of the external characteristics of the networked microgrid, and views the microgrid configuration optimization problem from the perspective of global economy. It avoids the external system burden caused by the internal efficiency and performance of the microgrid. The method is robust and has certain guiding significance for the development and configuration of the microgrid in the later stage.