Research on Reactive Power Optimization Algorithm of Power System Based on Improved Genetic Algorithm

摘要

Reactive power optimization of power system is an effective means to ensure the safety and economic operation of the system. It is an important measure to reduce the power loss and improve the power quality. In this paper, an Improved Genetic Algorithm (IGA) is proposed to solve the problem that the Simple Genetic Algorithm (SGA) is inefficient in the application of power system reactive power optimization. IGA has improved the coding method, fitness function, initial population generation, crossover and mutation strategy, and improves the computational efficiency and global optimization ability. In this paper, the IEEE14 node system is simulated in MATLAB environment. The results show that IGA improves the convergence ability and convergence speed, and effectively reduces the active power loss of the power system.