摘要
为了避免算法早熟,结合柯西分布具有较长两翼的特点,提出了带柯西扰动因子的量子粒子群,对平均位置扰动,并结合罚函数处理约束条件来求解电力系统经济调度问题。通过对15个机组的数值仿真表明,该算法在收敛精度和迭代速度上有较好的效果。
In order to avoid algorithm premature, the paper taken into account the Cauchy distribution has the characteristics of long wings, the quantum-behaved particle swarm optimization with Cauchy disturbances is introduced to perturb the average position. And then the paper Handle constraints with penalty functions to solve economic dispatch problem of power system. Then the paper apply this algorithm on the 15 units system, the experimental results indicated the algorithm has high speed, high accuracy and good convergence.
出处
《计算机与数字工程》
2013年第8期1268-1269,1301,共3页
Computer & Digital Engineering
关键词
量子粒子群
经济调度
柯西扰动
quantum-behaved particle swarm optimization
economic dispatch
cauchy disturbance
