基于模糊DEA模型的电网黑启动方案评估优化算法

Data Envelopment Analysis Based Optimal Fuzzy Algorithm for Assessing Power Grid Black-Start Plans

在电力系统发生大停电后快速确定最优的系统恢复方案,具有重大的理论和现实意义。文章提出了一种模糊条件下的电网黑启动方案有效性评估优化算法,该算法基于数据包络分析(DEA)的C2R模型,引入L-R模糊数和α-截集的概念,建立了α-FC2R模型,然后提取黑启动过程中的重要因素作为模型的输入输出指标,通过计算得到模糊条件下的各黑启动方案有效性的客观评价。最后,文章通过实际电网验证了该方法是切实可行的,可以使最优方案的选择更符合实际。

To decide the best restoration plan for power system after large-scale power failures as soon as possible is important in both theory and practice. In this paper, an optimal algorithm for assessing effectiveness of power system black-start plans is proposed. This C^2R model based algorithm introduces concepts of L-R fuzzy number and α-cut, establishes the α-FC^2R model, and then draws important factors from the proceeding of black-start as input and output indexes. Afterwards, an objective assessment for effectiveness of plans is given under fuzzy conditions. The results of a practical power system prove that this method is feasible, which makes the selection of optimal black-start plan more practical.