Day-ahead economic optimal scheduling of microgrids based on improved particle swarm optimization algorithm

Abstract

New source of energy technologies have developed rapidly in recent years, effectively reducing the operating costs of power grids. However, the new source of energy technology is more dependent on the natural environment, and there are many uncertain factors, which reduces the stability of the distribution network. Thanks to the rapid development of energy storage technology, by adding energy storage in the distribution network, the stability of the distribution network is improved, and the economic optimization of the distribution network is more active. This paper will discuss the addition of photovoltaic power generation and energy storage in the microgrid, and optimize the daily economic operation of the microgrid through improved particle swarm optimization algorithm, so as to minimize the operation cost of the grid.