基于符号数据的黑启动方案评估

黑启动方案的优选对快速恢复系统供电、减少停电损失具有重要意义.已有研究均是在指标值完全获取的理想条件下进行,本文针对不完全信息下的电力系统黑启动方案评价问题展开研究,提出一种基于符号数据的评价模型.首先建立评价等级,将存在缺失数据的原始黑启动方案评价矩阵转换为符号数据评价矩阵;然后对符号数据矩阵进行打包处理,得到指标评价等级频率矩阵,进而计算指标权重;最后根据符号数据矩阵和指标权重构造加权评价矩阵,采用拙劣点法实现黑启动方案的优劣排序.基于天津电网的黑启动方案数据对所提方法进行了验证,验证结果表明本文方法可以有效辅助于黑启动方案优选实践.

Assessment on black-start schemes based on symbolic data

Reasonable selection of black-start schemes is significant to the fast restoration of power system. Previous studies mostly focus on complete evaluation information. In this article, a comprehensive evaluation model based on symbolic data is proposed, which can address the issue of assessing black-start schemes under the condition of incomplete evaluation information. First, evaluation grade is established, and original evaluation matrix is transformed into symbolic data matrix. Then the symbolic data matrix is packaged, evaluation frequency matrix is gained, and weights of indexes are computed. Finally, weighted evaluation matrix is established based on the symbolic data matrix and weight vector, and negative ideal point approach is used to sort the black-start schemes. Experiments are carried out on the data of black-start path of Tianjin power grid, the results show that the proposed approach is effective.