基于混沌优化和BFGS方法的最优潮流算法

将混沌优化与拟牛顿法中的BFGS方法相结合，提出了一种新的混合优化算法，并应用该方法进行电力系统最优潮流的计算。混沌优化方法利用混沌运动内在的遍历性、随机性和规律性等特点，跳出局部最优解，接 近最优点；同时，利用BFGS方法在最优点的邻域内局部寻优，提高了收敛速度和求解精度。 通过对IEEE 14，30和57节点试验电力系统的数值计算，验证了算法的有效性。

OPTIMAL POWER FLOW ALGORITHM BASED ON CHAOS OPTIMIZATION AND BFGS METHOD

In this paper a new hybrid optimization algorithm,which com bines chaos optim ization algorithm and BFGS Broyden- Fletcher- Goldfarb- Shanno method,is proposed for handling the optimal power flow OPF problem .By use of the properties of intrinsic ergodicity,randomness,and regularity of chaos,the chaos optim ization algorithm can escape from the local m inim a and approach the global m inima.To im prove the rate of convergence and accuracy,BFGS m ethod is used to perform the local search in the neighborhood of the global minim a.The num erical results from IEEE 14 ,30 and 5 7bus test system s illustrate the validity of the proposed algorithm . The project is supported by National Natural Science Foundation of China No.5 0 0 790 0 6 .