针对目前动态经济调度在旋转备用配置上存在的问题,提出一种计及用户停电损失的动态经济调度方法。该方法不再预先指定系统的备用需求,而是通过系统的电量不足期望(expected energy not supplied,EENS)与停电损失评价率(interrupt edenergy assessment rate,IEAR)将调度所对应的用户停电损失期望(expected customer interruption cost,ECOST)体现于目标函数中,在寻求扩展目标函数最小的同时自动为系统配置适宜备用。在解法上,通过对EENS指标的适当变换,使用户停电损失期望嵌入传统动态经济调度模型中,形成{0,1}混合整数优化问题,从而达到整体求解效果。在算法上,通过引入附加约束,将混合整数优化问题转化为连续变量的二次优化问题,采用解耦的原-对偶内点法求解。算例及其分析证明了该方法的有效性和可行性。
Aiming at the shortage of traditional dynamic economic dispatch on spinning reserve allocation, this paper proposed a novel dynamic economic dispatch method that took customer interruption costs into account. Predetermined spinning reserve capabilities were no longer used in this model. Instead, as the expected customer interruption cost (ECOST) was evaluated by expected energy not supplied (EENS) and interrupted energy assessment rate (IEAR), it was introduced to the objective function and the optimal spinning reserve allocation during the optimization process was achieved. Based on proper transformation of EENS indexes, ECOST was incorporated i~o the traditional dynamic economic dispatch model. A typical {0, 1} mixed integer optimization problem was achieved. By inducing additional constraints for binary variables, the mixed integer optimization problem was transformed to quadratic optimization problem. Thus it was solved by decoupled primal-dual interior point method. Case studies demonstrate the efficiency and feasibility of the proposed method.