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模糊优选在电网规划综合决策中的应用 被引量:10

An Application of Multi-attribute Fuzzy Optimal Selection to the Evaluation of Grid Planning
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摘要 利用模糊优选方法,采用多目标优化规划,获得电网规划的优化多解方案集,并计算出方案的定量目标及其特征值矩阵;对于定性准则,建立基于规划知识和经验的专家系统,获取方案的定性目标模糊评价矩阵.对定量和定性目标的两种矩阵,采用统一的决策目标相对优属度进行方案优选决策.当不满意决策优选的规划方案时,则修正和调整多目标间的权重及其隶属函数,重新进行优化规划方案的计算,直至获得满意方案.该方法既能计及定量、定性因素,又能体现系统的整体优化性能,将其应用于规划决策支持系统,可实现具有智能模拟的电网规划方案决策功能. <Abstrcat> The multi-attribute fuzzy optimal selection (MADOS) is presented to realize the simulating decision-making of grid planning that is a multi-objective, multi-factor, uncertain and complicated decision-making problem for the first time.The MADOS is unified for quantitative objectives and qualitative criteria. The quantitative objectives of schemes can be calculated to form an eigenvalue matrix with the optimal programming. The qualitative criteria can be evaluated fuzzily to form an evaluation matrix through the expert system based on the planning knowledge. The relative membership matrix of different attributes can be calculated by the unified and relative subordinate degree. The weight of multi-attributes can be confirmed through comparison matrix. The distances to optimal and to inferior extremes and maximum relative subordinate satisfied degree of the schemes, which is gained by further calculation, are used to make decision. The practical example shows that quantitative and qualitative methods are combined and the whole performance of planning is taken into account. It is practical and efficient to use the simulating making-decision in the support system for electrical power planning.
出处 《郑州大学学报(工学版)》 CAS 2005年第2期23-26,共4页 Journal of Zhengzhou University(Engineering Science)
基金 国家自然科学基金资助项目(60474070)
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参考文献3

  • 1LINARES P.Multiple criteria decision making and risk analysis as risk management tools for power systems planning[J].IEEE Transactions on Power System.2002,17(3):895-900.
  • 2肖峻,王成山,周敏.基于区间层次分析法的城市电网规划综合评判决策[J].中国电机工程学报,2004,24(4):50-57. 被引量:233
  • 3HAJELA P, LIN C Y. Genetic search strategies in multicriterion optimal design [ J ] . Structural Optimization,1992,5(4) :99-107.

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