Application of Improved Particle Swarm Optimization Algorithm in the Location and Capacity Determination of Distributed Generation

Different grid locations and capacity of distributed power supplies will bring different degrees of influence to the power grid. Considering the active power loss, voltage deviation and voltage stability margin, the multi-objective optimization of location and the capacity determination of distributed generation is studied in this article. An improved simulated annealing particle swarm optimization algorithm is proposed, which solves the problem of multi-objective equilibrium optimization, improves the diversity of the algorithm, and solves the problem that the traditional particle swarm optimization algorithm tends to fall into the local optimization. Finally, the proposed method is verified in the IEEE 33 node standard example, which can effectively improve the voltage quality and stability margin of the distribution system with distributed generation and reduce the system network loss.