Research on New Power System Planning Based on Improved Particle Group Algorithm

Abstract

In the traditional sense, the dispatching objective function of power system can control the total fuel cost at the lowest level, but it does not consider the pollution substances composed of fossil fuels and their cost. Therefore, in the case of an increasingly strong demand for ecological and environmental protection, in view of the new energy planning and construction of power system scheduling scheme, emissions are regarded as the constraint condition of scheduling function, and a better variable search radius optimization multi-objective particle swarm optimization system model is constructed, and simulation analysis is conducted based on the new energy power system in a certain region. The final results show that the improved PSO is more effective than the traditional PSO.