基于Vague方法与PROMETHEE方法相结合的黑启动路径评估

Assessment of Black Start Path Based on Vague and PROMETHEE Method

首先提出基于方案隶属集与非隶属集的Vague集形成方式;进而提出基于Vague集及PROMETHEE方法的多属性方案排序新方法;最后把新方法用于黑启动方案的排序决策。将由初始属性值组成的初始决策矩阵利用Vague集正反两方面考虑问题的思维方式进行模糊化,一方面保留了各属性独有的特性;另一方面将所有属性转化到相同标度下进行比较,使各个属性的客观本质得到尽可能多的保留及利用。然后利用偏好函数准确地量化了各个方案属性之间的综合占优关系,得到更为准确可信的排序结果。天津电网黑启动路径的评估结果验证了方法的有效性。

Quick and simple evaluation of black-start schemes is an important topic that has aroused extensive concerns. A complete, multi-attribute evaluation program for black start schemes utilizing combined Vague method and PROMETHEE method was presented. First, the formation of Vague set based on membership and non-membership sets was proposed; then, a new sorting approach for multi-attribute schemes based on Vague method and PROMETHEE method was developed. The proposed new method was applied to the ranking decision of black-start schemes. The initial decision matrix consisting of initial attributes was fuzzed from the perspective of both pros and cons of Vague set. Therefore, the unique feature of each attribute is preserved while all attributes are transformed into the same scale for comparison so that the objective essence of attributes is preserved and fully utilized. The dominant relationship between the schemes was accurately quantified using attribute＇s preference function, thus a more accurate and credible sorting result was obtained. Evaluation results on real-world power systems demonstrate the effectiveness of the method.