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基于区间偏好和MADM的配电网智能化规划方案评估方法
引用本文:丁家满,沈书琳,李川.基于区间偏好和MADM的配电网智能化规划方案评估方法[J].电力系统保护与控制,2018,46(23):18-27.
作者姓名:丁家满  沈书琳  李川
作者单位:昆明理工大学信息工程与自动化学院,云南 昆明 650500,昆明理工大学信息工程与自动化学院,云南 昆明 650500,昆明理工大学信息工程与自动化学院,云南 昆明 650500
基金项目:国家自然科学基金项目资助(51467007)
摘    要:针对配电网智能化规划方案评估中决策因素的不确定性和专家判断的模糊性问题,提出了基于区间偏好和多属性决策(Multi Attribute Decision-Making, MADM)的配电网智能化规划方案评估方法。首先建立属性层次结构和方案属性决策表。其次,建立各方案属性间两两比较的区间偏好关系。然后,依据偏好关系计算各方案属性的相对权重。最后,结合属性层次结构,获得各方案对总目标的综合权重,并产生最终决策结果。所提出的方法较好地将专家经验和定量计算相结合,合理地处理了决策因素的不确定性和专家判断的模糊性,简化了评判决策的步骤。实验结果表明该方法可行、有效,所获评价排序结果与层次分析法相比具有更高的区分度。

关 键 词:配电网  智能规划  不确定性  综合评判决策  区间  偏好关系  权重
收稿时间:2017/11/29 0:00:00
修稿时间:2018/2/9 0:00:00

Evaluation method of intelligent planning for distribution network based on interval preference and MADM
DING Jiaman,SHEN Shulin and LI Chuan.Evaluation method of intelligent planning for distribution network based on interval preference and MADM[J].Power System Protection and Control,2018,46(23):18-27.
Authors:DING Jiaman  SHEN Shulin and LI Chuan
Affiliation:Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China,Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China and Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
Abstract:To address the problem about the uncertainty of decision-making factors and the vague of judgement in the evaluation of intelligent planning of distribution network, this paper proposes an evaluation method of intelligent planning for distribution network based on interval preference and MADM. Firstly, the attributes hierarchy and the decision table about plan attributes are established. Next, the interval preference relationships between any two plan attributes are built. After that, the relative weights of each plan attributes are calculated according to the preference relations. Finally, according to the attribute hierarchy, the comprehensive weight of each plan to the total evaluation target is obtained, and the final decision result is produced. Combining expert experience and quantitative calculation, the method proposed deals with rationally the uncertainty of decision factors and vague of judgement, and simplifies the steps to evaluation decisions. Experimental result shows that the method proposed is feasible and effective, and its dipartite degree about the sort result is higher than that of the analytic hierarchy method. This work is supported by National Natural Science Foundation of China (No.51467007).
Keywords:distribution network  intelligent planning  uncertainty  MADM  interval  preference relation  weight
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