摘要
提出了一种基于配电网评价的投资分配方法,首先构建具有工程性投资指导意义的电网评价指标体系,利用主客观赋权法得到目标层指标得分,然后采用基于粒子群算法的组合预测法预测配电网投资额,并对其中的粒子群算法进行改进,最后基于评价得分及投资预测额得出目标层指标的投资额。实证研究表明,该配电网投资分配方法基于评价得分进行投资分配,能够比较准确、客观地反映出电网的薄弱环节,科学引导投资指向,合理分配投资额,提高投资效率。
This paper proposes an investment allocation method based on distribution network evaluation.Firstly, it constructs a grid investment evaluation index system with engineering guidance significance, and uses the subjective and objective weighting methods to obtain the target layer index score. Then, it uses the particle swarm optimization algorithm based combination forecasting method to predict the grid investment, and the particle swarm optimization algorithm is improved. Finally, the investment of the target layer index is calculated based on the evaluation score and the investment forecasted. The empirical research shows that the grid investment allocation method based on the evaluation score for investment distribution can accurately and objectively reflect the weak links of the power grid, scientifically guide investment orientation, rationally allocate investment, and enhance investment efficiency.
作者
徐斌
马骏
刘红新
陈青
刘军
胡钋
XU Bin;MA Jun;LIU Hongxin;CHEN Qing;LIU Jun;HU Poz(Lu’an Power Supply Company,State Grid Anhui Electric Power Co.,L td.,Lu'an 237006,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China)
出处
《武汉大学学报(工学版)》
CAS
CSCD
北大核心
2020年第3期248-254,共7页
Engineering Journal of Wuhan University
基金
国家高技术研究发展计划(863计划)资助项目(编号:2015AA050101)。
关键词
配电网评价
粒子群算法
组合预测
评价指标
配电网投资指导
distribution network evaluation
particle swarm optimization
combined forecasting
evaluation index
distribution network investment guidance