基于改进数据包络分析模型的黑启动方案评估

合理选择黑启动方案,对顺利恢复系统供电、减少停电损失具有至关重要的意义。针对传统数据包络分析模型不能对方案排序的不足,提出一种基于改进数据包络分析模型的黑启动方案评估方法。在分析传统数据包络分析模型的基础上,引入最优与最差2个虚拟方案,建立改进后的数据包络分析模型,得到一组公共权重,依此计算各方案的效率指数,实现黑启动方案的排序。针对实际电网黑启动的案例,采用所提方法与其他方法进行比较分析,结果表明所提方法能给出正确的黑启动方案排序,同时提高了评估结果的可区分性。

Assessment of Black Start Plans Based on Improved Data Envelopment Analysis Model

A scientific and reasonable black start plan is of great importance for quick and stable system restoration after blackouts. Due to the ineffectiveness of the traditional data envelopment analysis (DEA) model in ranking the plans, a novel method is proposed for black start plan assessment using improved DEA model. On the basis of the traditional DEA model, two virtual plans of which one is the best and the other one is the worst are introduced into the black plan set. By establishing the improved DEA model, a set of common weights is acquired and used to calculate the efficiency index of the plans to rank the black start plans. The method is applied to the black start case of two actual grids and the result is compared with those from other methods, which shows that this method can rank the black start plans correctly and improve the distinguishability of the evaluation results.