Multi-index Economical Peak Load Regulation Model Based on Improved Particle Swarm Optimization

摘要

In recent years, new energy continued rapid growth in China. Installed capacity of wind power and solar power both surged the new highs. However, the problem of insufficient peak peaking capacity of power system of large-scale new energy grid becoming more and more serious due to the random and intermittent characteristics of wind power and photovoltaic. This paper put forward a strategy of virtual power plant, which consisting of uncontrollable renewable energy and controllable energy will participate peak load regulation. With goal of minimizing the load variance and operating cost in each period, a multi-objective peak load regulation modes of virtual power plant is established. Power output of each energy resource of virtual power plant is obtained with improved grey particle swarm algorithm. Take the IEEE33 node distribution system as an example to simulate. The results show that the peak load regulation model can be carried out economically and effectively peak-shaving.