摘要
利用综合评价对日益发展的新能源大数据服务平台进行科学量化分析,对推动与完善数据服务运营的建设具有重要作用。文章从新能源大数据服务的目的和需求出发,围绕其经济、技术、环境和社会服务4个方面构建运营效益的综合评价指标体系,利用最小鉴别信息原理研究了基于改进层次分析法和熵权法的主客观组合赋权法。同时,针对决策者面对收益与损失时在价值判断上存在不同主观倾向的问题,从考虑投资者有限理性与风险回避评估出发,利用前景理论对TOPSIS法进行改进,进一步提出用于最优新能源大数据服务项目排序的综合评价方法。最后,利用仿真验证了所提出的综合效益评价方法的有效性。
The use of comprehensive evaluation for scientific and quantitative analysis of the growing new energy big data service (NEBDS) platform plays an important role in promoting and improving the construction of data service operation. At first,considering the purpose and demand of NEBDS,the comprehensive index system for evaluating the operational efficiency of NEBDS is constructed from the four aspects,i. e.,economy,technology,environmental benefits and social services. At the same time,the combination of subjective and objective weight method based on improved analytic hierarchy process and entropy is also studied by application of the principle of minimum discriminatory information. Secondly,in view of the fact that decision-makers have different subjective tendencies in value judgment when facing gains and losses,starting from assessing both the limited rationality and risk avoidance of investors,the comprehensive evaluation method for ranking the optimal new energy big data service projects is proposed by using the prospect theory to improve the TOPSIS method. Finally,the effectiveness of the proposed comprehensive benefit evaluation method is verified by simulation.
作者
陈人杰
李华取
彭晓涛
杨军
董旭柱
刘首文
李祥杰
CHEN Renjie;LI Huaqu;PENG Xiaotao;YANG Jun;DONG Xuzhu;LIU Shouwen;LI Xiangjie(School of Electrical and Automation,Wuhan University,Wuhan 430072,China;State Grid Hubei Electric Power Co.,Ltd.,Wuhan 430077,China;State Grid East Inner Mongolia Electric Power Co.,Ltd.,Hohhot 010010,China)
出处
《电力建设》
CSCD
北大核心
2021年第3期126-134,共9页
Electric Power Construction
基金
国家电网有限公司科技项目“综合能源服务项目技术经济性评价与商业模式研究”(5400-201999499A-0-0-00)。
关键词
新能源大数据服务
综合评价
组合赋权
前景理论
TOPSIS
new energy big data service
comprehensive evaluation
combination weighting
prospect theory
TOPSIS
