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.