摘要
基于内点法与粒子群算法,提出了一种混合策略来求解电力系统无功优化问题。根据优化变量的不同性质将无功优化问题分解为离散优化和连续优化两个子问题,采用改进的粒子群优化算法和内点法交替求解,使两者的优化结果互为基础,提高了混合策略的整体寻优效率;根据粒子运动趋势及目标函数中网损与节点电压无功的相关性,对基本粒子群算法进行改进,自适应调整惯性权重和罚因子;以IEEE30节点系统和某实际地区电网作为试验系统,验证了该算法的正确性和有效性。
By integrating a particle swarm optimization algorithm（PSO） with an interior point method（IPM）,a hybrid strategy for the optimal reactive power flow（ORPF） problem is proposed.According to the discrete feature of the control variables,the original ORPF problem is decomposed into a continuous optimization sub-problem and a discrete optimization sub-problem,which are solved by IPM and PSO respectively.By solving the two sub-prob-lems alternately,the optimal solution of the ORPF problem can be obtained.IPM and PSO take advantage of each other,so that the efficiency of the hybrid strategy is greatly improved.Based on the particle movement trend and the correlation between network power loss and node voltage,a dynamic adaptive adjusting method for penalty fac-tors and inertia coefficient is presented.Furthermore,the numerical example of IEEE 30-bus system and a local power system is employed to validate correctness and effectiveness of the proposed algorithm.
出处
《电工电能新技术》
CSCD
北大核心
2010年第4期48-51,共4页
Advanced Technology of Electrical Engineering and Energy
关键词
无功优化
改进粒子群算法
自适应罚因子
内点法
optimal reactive power flow
improved particle swarm optimization（PSO）
adaptive penalty factor
in-terior point method（IPM）
