多因素约束下配电设备短期重复停电规避方法

规避配电设备短期重复停电时，需建立目标函数，传统方法选用的优化算法容易陷入局部最优，导致规避效果不佳。为此，提出一种新的多因素约束下配电设备短期重复停电规避方法。将配电设备可靠性指标期望缺供电量和风险指标看作优化目标，建立配电设备短期重复停电规避目标函数，在多因素约束下对其进行优化求解。优化求解依据粒子群算法，通过小生境粒子群算法实现，适应度按照小生境共享体系，引入共享度，结合配电设备短期重复停电目标函数计算，从而有效规避配电设备断电器重复停电。实验结果表明，所提方法规避结果整体风险低，效果优，选用优化算法全局寻有能力强。

Short term repetitive outage avoidance method for distribution equipment under multi factors constraints

to avoid the short-run power outage of distribution equipment, it is necessary to set up the target function. The optimization algorithm used in the traditional method is easy to fall into the local optimal, which leads to the poor evasion effect. To solve this problem, a new multi factor constrained short-term power failure avoidance method for distribution equipment is proposed. The objective function of short term repeated outage evasion of distribution equipment is set up, and its memory is optimized under the constraints of multiple factors. The optimization solution is based on particle swarm optimization (PSO) algorithm. Through niche particle swarm optimization (PSO) algorithm, the adaptability is introduced into the sharing system according to the niche sharing system, and the short-term power outage target function of the distribution equipment is combined to avoid the repeated outage of power distribution equipment. The experimental results show that the proposed method avoids the overall risk and the effect is excellent. The optimization algorithm is globally capable.