基于混沌优化与线性内点法的最优潮流算法

求解最优潮流是一项基本而重要的工作，文中将混沌优化与线性内点法相结合，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特定的内在遍历性、随机性和规律性等特点跳出局部最优点，接近最优点；同时，利用预测-校正原-对偶内点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 LINEAR INTERIOR POINT METHOD

It is a fundamental and important work to solve the optimal power flow problem under the deregulated environment of the electricity industry. For the purpose, a novel hybrid optimization algorithm, which combines chaos optimization algorithm (COA) and linear interior point method, is proposed. By use of the properties of intrinsic ergodicity, stochastic property, and regularity of chaos, the chaos optimization algorithm can escape from the local minima and approach the global minima. To improve the rate of convergence and accuracy, the linear primal-dual interior point method with the predictor-corrector is used to perform the local search in the neighborhood of the global minima. Through the numerical calculation for IEEE 14, 30 and 57 bus test systems, the effectiveness of the presented algorithm is validated.