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待补偿点定位的粒子群优化算法在配电网无功优化中的应用

The application of particle swarm optimization algorithms based on selected candidate points in the reactive power compensation of distribution systems
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摘要 根据最大降低网损的原则,首先计算出配电网无功补偿点的位置、个数和待补偿容量,并由此筛选出最优无功补偿的待补偿节点集和补偿容量的取值范围,减少粒子群优化算法最优解的搜索空间.建立了以网损最小为目标的粒子群算法无功优化数学模型,进一步提高了无功优化的效率和质量.以福安电网无功优化补偿为例,并与常规粒子群优化算法比较,验证了该方法的有效性. Based on principle of minimizing the power losses in the distribution network, the candidate locations and the capacity for the capacitors are determined at first. So the searching space of particle swarm optimization for reactive power is decreased and the convergence speed is increased. It builds objective function based on the minimized active power losses . The test, Fu' an power distribution system' s reactive power optimization, prove the correctness and efficiency of the method with being compared with conventional particle swarm optimization algorithm.
出处 《福州大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第2期242-245,共4页 Journal of Fuzhou University(Natural Science Edition)
基金 福建省教育厅科研资助项目(JB05014)
关键词 配电网 无功优化 粒子群算法 有功网损 distribution network reactive power optimization particle swarm optimization active power losses
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