电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2009年
13期
43-47
,共5页
配电网%粒子群优化算法%动态搜索%网络重构
配電網%粒子群優化算法%動態搜索%網絡重構
배전망%입자군우화산법%동태수색%망락중구
distribution network%particle swarm optimization%dynamic search%network reconfiguration
提出一种基于改进粒子群动态搜索算法的网络重构方法,算法把初始粒子群按照适应度的大小分为两个互不交叉,且具有不同分工的子群,并进行动态搜索.通过引入了交叉和禁忌思想,减少了解陷入局部最优的可能性.与遗传、禁忌搜索算法重构的结果进行比较,表明本文算法具有更高的搜索效率,更容易找到全局最优解.
提齣一種基于改進粒子群動態搜索算法的網絡重構方法,算法把初始粒子群按照適應度的大小分為兩箇互不交扠,且具有不同分工的子群,併進行動態搜索.通過引入瞭交扠和禁忌思想,減少瞭解陷入跼部最優的可能性.與遺傳、禁忌搜索算法重構的結果進行比較,錶明本文算法具有更高的搜索效率,更容易找到全跼最優解.
제출일충기우개진입자군동태수색산법적망락중구방법,산법파초시입자군안조괄응도적대소분위량개호불교차,차구유불동분공적자군,병진행동태수색.통과인입료교차화금기사상,감소료해함입국부최우적가능성.여유전、금기수색산법중구적결과진행비교,표명본문산법구유경고적수색효솔,경용역조도전국최우해.
An improved method based on improved particle swarm optimization dynamic search algorithm network reconfiguration is presented in this paper. The initial particle swarm is divided into two different subgroups according to the size of fitness, with a division of labour between the different subgroups of dynamic search. Cross thinking and ideological tabu are led into this algorithm to reduce the possibility of local optimum. Compared with genetic and tabu search algorithm, the results show that the proposed method possesses a higher search efficiency and is easier to find the global optimum solutions.
