摘要
提出了一种基于自适应型粒子群优化算法(APSO)的自动发电控制(AGC)机组调配方案。该方案针对考虑机组调节容量、调节速率等约束条件的AGC机组调配的数学模型,提出了一种改进的APSO。介绍了算法的基本原理,分析了不同参数取值对算法收敛性的影响。算例表明,该方法不仅可以克服整数规划法可能得不到最优解的缺点,而且与遗传算法比较,具有收敛性好、收敛速度快的优点。
An adaptive particle swarm optimization （APSO） algorithm to solve the AGC unit dispatch problem in power system is proposed. Constraints of the AGC unit regulating capacity and regulating speed are considered in the AGC dispatch model. The principle of APSO is introduced and the influence of parameter setting on its convergence speed is analyzed. Case studies on a realistic system show that the APSO algorithm could overcome the shortcoming in using the integer programming method. Compared with the genetic algorithm, the APSO algorithm has good convergence and high convergence speed.
出处
《江苏电机工程》
2009年第1期1-4,共4页
Jiangsu Electrical Engineering
关键词
自动发电控制
进化计算
APSO
机组调配
automatic generation control （AGC）
evolutionary computation
adaptive particle swarm optimization algorithm （APSO）
unit dispatch
