Research and Simulation of Micro-Grid Scheduling in Industrial Park

In order to improve the absorption capacity of new energy and the economy and reliability of power supply, the microgrid of industrial park with wind fuel storage, living load and industrial load with limited controllable capacity was studied, and an optimal scheduling scheme based on the combination of day and day was proposed. In order to ensure the economy of day-ahead optimal scheduling, an improved particle swarm optimization (PSO) based on piecewise variation optimization is proposed to solve the scheduling model. Compared with the traditional particle swarm optimization algorithm, the improved algorithm converges faster, improves the economy and reduces the operating cost of the campus. During intra-day operation, in order to correct the pre-day forecast deviation, the source network load and storage are used to participate in the adjustment to ensure that the pre-day economic results are followed as much as possible and the reliability of the microgrid system is improved. The detailed simulation model is established and real-time simulation technology is adopted. The real-time simulation platform built by real-time simulation software RT-LAB and real-time simulator OP4510 was used to solve the long time and difficult problem of model simulation, and verified the feasibility of micro-grid scheduling strategy in industrial park.