摘要
为避免主观性和评估结果相同的情况,采用基于熵权的理想解法对分布式发电系统进行电能质量综合评估。理想解法通过对象贴近理想解的程度对评估对象进行排序,贴近理想解的程度通过计算对象与正理想解和负理想解之间的欧氏距离得到。该方法赋予权重时具有客观性,可按综合评估指数从大到小排列评估点优劣次序。对某大型风电场数据的分析结果表明,与突变决策方法相比,基于理想解法的电能质量综合评估结果更加合理、精确。
In order to avoid subjectivity and similarity,TOPSIS approach based on entropy weight is applied in the comprehensive evaluation of power quality for distributed power generation system,which ranks the objectives according to their calculated Euclidean distances to positive and negative ideal solutions.It assigns the weights objectively and ranks the evaluation points according to the comprehensive evaluation index.Results of data analysis for a large-scale wind farm show that,compared to the catastrophe decision method,the power quality evaluated by the proposed TOPSIS approach is more rational and accurate.
出处
《电力自动化设备》
EI
CSCD
北大核心
2014年第4期26-30,共5页
Electric Power Automation Equipment
基金
国家高技术研究发展计划(863计划)资助项目(20-12AA050201)~~
关键词
电能质量
理想解法
综合评估
熵权
分布式发电
power quality
TOPSIS
comprehensive evaluation
entropy weight
distributed power generation
