模拟退火遗传算法在电力系统无功优化中的应用

电力系统无功优化是保证系统安全、经济运行的一项有效手段．针对常规遗传算法收敛速度慢、易早熟等缺陷，并结合电力系统无功优化的特点，在遗传算法（GA）和模拟退火算法（SA）的基础上，提出了更加有效的算法即模拟退火遗传算法．使用该文提出的算法对IEEE-14节点系统进行了无功优化计算，结果表明该模拟退火遗传算法应用于无功优化是合理可行的．

Application of simulated annealing genetic algorithm in reactive power optimization of power system

The reactive Power optimization is an efficient method to guarantee the system＇s security and economical running. This paper conquers the defects of slow convergence rate and easily being precocious of simple genetic algorithm and simulated annealing algorithms, and links up the characters of reactive power optimization of power system. A more effective method-the simulated annealing genetic algorithm is put forward based on simple genetic algorithm. The proposed approach is applied to the IEEE-14 bus system. The simulation results show that the simulated annealing genetic algorithm is reasonable and feasible.