Construction of Multi-objective and Multi-regional Power Grid Planning System Based on Improved Particle Swarm Optimization

Power grid planning is one of the important links in the power industry, and is an important prerequisite and guarantee for the economic and stable operation of the power grid. The development of electric power industry and the need of marketization put forward higher and higher requirements for power grid planning. In the process of future power grid development, the influence of various uncertain factors is essential. These uncertain factors will affect the forecasting results of power supply and load to a large extent, resulting in the inability to obtain accurate values. In this case, a multi-objective and multi region power grid planning model based on improved particle swarm optimization algorithm is proposed in this paper to comprehensively analyze the random uncertainty and fuzzy uncertainty in power grid planning, and the corresponding mathematical model expression is given. The example shows that the improved particle swarm optimization algorithm can find the global optimal solution more quickly and effectively than the ordinary particle swarm optimization algorithm.