多时段缺电损失最小化减载模型及算法

为了实现系统供电不足时的缺电损失最小化,本文提出了在多时段最优减载的模型和算法.该模型考虑了各时段间缺电损失的耦合关系,是一种最优潮流模型,该算法是改进的近似规划法.利用不同时段潮流方程和约束条件的无耦合性,将潮流求解、灵敏度解算、约束条件的线性化、有效约束的筛选等主要计算分时段进行,进而形成关于所有时段控制变量的近似线性规划算法.以线性规划的结果修正控制变量,迭代收敛至最优解.同时将距离判别有效约束改进为区间运算判别有效约束,提高了线性规划算法的效率.并以IEEE-14节点系统的4个时段为例,验证了该模型和算法的有效性.

Load shedding model and algorithm based on minimizing power outage cost of multi-intervals

This paper presents a multi intervals optimal load shedding model and algorithm to minimize power outage cost during power shortage.The model belongs to optimal power flow model with the coupling effect of different intervals and the algorithm is an improved approximate programming method.Power flow solving,sensitive equation solving,restriction linearizing and active restriction identifying which are the major calculation can be executed at every single interval because there isn’t coupling relationship in power flow equation and restriction of different intervals.Thus the approximate linear programming algorithm that includes the control variable of different intervals can be obtained and its results can be utilized to correct the control variable.The process is iterated until the operating point converges at the optimal solution.Active restriction identified by distance criterion can be advanced to active restriction identified by neighborhood arithmetic criterion,which has greatly enhanced the efficiency of linear programming.The proposed model and algorithm have been validated on the four intervals of IEEE 14-bus system.