电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2015年
16期
73-78
,共6页
配电网%动态重构%最优重构次数%多目标%整数型量子粒子群算法
配電網%動態重構%最優重構次數%多目標%整數型量子粒子群算法
배전망%동태중구%최우중구차수%다목표%정수형양자입자군산법
power distribution network%dynamic reconfiguration%optimal number of refactoring%multi-objective%integer coded quantum particle swarm optimization algorithm
为保证配电网动态重构后系统安全稳定的运行,提出了以网损和节点电压稳定性为目标函数的量子粒子群算法的配电网动态重构。针对配电网动态重构过程中时段划分问题,提出以负荷曲线的单调性和幅值变化大小为依据初步划分时间段落。采用整数型量子粒子群算法进行动态重构,重构过程中以相邻时段的网损变化值的关系获取最佳重构段落,然后综合考虑配电网网损最小和节点电压值最大且波动最小为目标寻找最佳重构结构。以IEEE33配电系统为例验证了所提方法的有效性和实用性。
為保證配電網動態重構後繫統安全穩定的運行,提齣瞭以網損和節點電壓穩定性為目標函數的量子粒子群算法的配電網動態重構。針對配電網動態重構過程中時段劃分問題,提齣以負荷麯線的單調性和幅值變化大小為依據初步劃分時間段落。採用整數型量子粒子群算法進行動態重構,重構過程中以相鄰時段的網損變化值的關繫穫取最佳重構段落,然後綜閤攷慮配電網網損最小和節點電壓值最大且波動最小為目標尋找最佳重構結構。以IEEE33配電繫統為例驗證瞭所提方法的有效性和實用性。
위보증배전망동태중구후계통안전은정적운행,제출료이망손화절점전압은정성위목표함수적양자입자군산법적배전망동태중구。침대배전망동태중구과정중시단화분문제,제출이부하곡선적단조성화폭치변화대소위의거초보화분시간단락。채용정수형양자입자군산법진행동태중구,중구과정중이상린시단적망손변화치적관계획취최가중구단락,연후종합고필배전망망손최소화절점전압치최대차파동최소위목표심조최가중구결구。이IEEE33배전계통위례험증료소제방법적유효성화실용성。
To ensure the dynamic reconfiguration of distribution network system safe and stable operation, a dynamic reconfiguration method for distribution network isproposed based on integer coded quantum particle swarm optimizationalgorithmwhich takes the minimum network loss and node voltage stability as the objective function. First, a day of load forecasting curve is divided into several time intervals based on its monotonicity and amplitude changes. Then integer quantum particle swarm optimization algorithm is adopted to realize dynamic distribution network reconfiguration. In order to find the best number of refactoring, the optimal time refactoring function is proposed based on adjacent time refactoring changes value network loss. In consideration of the power distribution network loss minimum and node voltage fluctuations largest and smallest for the target, we are looking for best reconstruction of the distribution network structure on the basis of IEEE33 distribution system, the reconstructed results verify the validity of the proposed method.