基于Vague集理论的黑启动决策模型与方法

A Vague Set Theory Based Model and Approach for Black-start Decision-making

黑启动策略优化对电力系统大停电后的快速恢复有重要作用。现有的黑启动决策方法尚不能合理融合定性和定量指标,也没有考虑指标之间的关联性。在此背景下,采用了Vague值来评价黑启动方案,可以对定性和定量指标进行比较和综合;引入了Vague值模糊测度来描述评价指标之间的关联性。在此基础上,提出了基于非可加测度理论的黑启动决策方法。与现有方法相比,所提出的方法能够处理黑启动方案评价指标之间的关联性,且能更合理地处理黑启动决策中的模糊信息。最后,用算例说明了所提出的模型和方法的基本特征。

The determination of the optimal black-start strategy has significant impacts on the speed of power system restoration after a blackout.In the existing black-start decision-making methods,the employed indexes cannot be well synthesized,and the relevance among the indexes cannot be taken into account.Given this background,the Vague set is first employed in this work to represent the indexes for facilitating the comparisons among them.Then,the Vague value measure is presented,and a mathematical model for black-start decision-making is developed.Compared with the existing methods,the developed method could deal with the relevance among the indexes and more reasonably represent the fuzzy information.Finally,an actual example is served for demonstrating the essential features of the developed model and method.