Calculation of Economic Dispatch of Power System Based on Improved Particle Swarm Optimization Algorithm Abstract

For the power system economic dispatch problem, this paper takes the power system generation fuel cost as the objective function, and take into account the net loss of the power system. At the same time, it neglects the valve point effect in the process of the generation and establish power system model to meet the running power balance constraints and the motor running In this paper, the IEEE30BUS power system is chosen as an example, and this paper uses the improved particle swarm optimization algorithm to simulate the power system of the known fuel consumption parameters, and the simulation result is compared with the optimization results of the basic particle swarm optimization algorithm. The result of system simulation is: the optimization result of the traditional particle swarm optimization is that the total power is 1375.63 MW, the net loss is 11.89 MW and the total cost is 16562.98 ($/h); The optimization results obtained by the improved particle swarm optimization algorithm are that the total power is 1375.08 MW, the net loss is 10.49 MW, the total cost is 16546.86 ($/h). The net loss of the improved algorithm is reduced by 2% compared with the traditional algorithm and the total cost is reduced by 6.12 ($/h). The simulation results show that the improved particle swarm optimization algorithm can effectively solve the power system economic dispatch calculation problem.