基于混合权重和VIKOR的黑启动方案评估

黑启动作为电力体系安全防御和事故后快速恢复措施之一,对其路径的评估是黑启动辅助决策的一个重要组成部分。本文将一种利用最小叉熵准则集成组合权重的思想运用到黑启动方案评估上。首先利用可变熵模型,在克服了经典熵权法权重分配差别过大、权重无法体现评价矩阵微小变化等问题的基础上,依据各指标客观数据信息的差异得到可变熵权重;接着又尝试性引入决策者效用函数,将原始属性评价矩阵转换为带有决策者主观偏好的判断矩阵,结合Kullback-Leibler距离模型得出带有决策者意愿的偏好权重,再根据最小叉熵准则,对可变熵权重以及偏好权重进行集成,求得指标综合权重。最后利用VIKOR法对方案间关系进行细致分析,得到最优方案。采用天津电网黑启动数据进行了验证,验证结果表明了所提方法的有效性。

Assessment on Black-start Schemes Based on Combined Weight and VIKOR

Black-start is one of the solutions for power system security and quickly recovery after an accident. Assessment on black-start schemes is an important part of decision making in black-start. In this article, minimum cross-entropy is applied to aggregate the weight for resolving the assessment on black-start schemes. Flexible entropy model is firstly adopted which addresses the issues that differences between weights of indexes are significant, no changes in weights when assessment matrix changes slightly to get the weights according to the difference of objective data information of each index. Utility function of decision makers is also tried to be used to transform the objective value matrix into the judgment matrix, which is based on the subjective preference of decision makers and combines with the Kullback-Leibler distance model to obtain the weights of preference. Then on the basis of minimum cross-entropy, the weights under the flexible entropy model and the other on account of the decision makers’ subjective preference are integrated, the combined weights of indexes can be acquired. Finally, relationships between black-start schemes are analyzed by using VIKOR method, and the optimal black-start schemes are selected. Experiments are carried out on the data of black-start path of Tianjin power grid, the results show that the proposed approach is effective.