• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2015, Vol. 36 ›› Issue (10): 154-160.doi: 10.3969/j.issn.1000-7229.2015.10.023

• 电力规划方案评估 • 上一篇    下一篇

基于云模型的输电网规划方案综合决策方法

董美玲,游大海,王刚,陈伟华   

  1. 强电磁工程与新技术国家重点实验室(华中科技大学),武汉市430074
  • 出版日期:2015-10-01
  • 作者简介:董美玲(1991),女,硕士研究生,研究方向为电力系统规划及其综合评价,负荷预测及需求侧管理; 游大海(1957),男,教授,博士生导师,研究方向为电力系统自动化及电力系统继电保护; 王刚(1990),男,博士研究生,研究方向为电网规划及其综合评价; 陈伟华(1989),男,硕士研究生,研究方向为电网规划综合评价,输电网静态稳定,暂态稳定评估等。
  • 基金资助:

    广东电网公司电网规划研究中心科研项目(030000QQ00120020)。

Comprehensive Decision-Making of Transmission Network Planning Schemes Based on Cloud Model

DONG Meiling,YOU Dahai, WANG Gang, CHEN Weihua   

  1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  • Online:2015-10-01

摘要:

针对目前输电网规划方案综合决策中存在不确定因素以及确定指标权重方法主观性强的问题,提出了基于组合权重和云模型的输电网规划方案综合决策方法。该方法首先基于层次分析法、序关系法计算的主观权重和熵权法、变异系数法计算的客观权重,利用粒子群优化算法求取各评价指标的组合权重,克服了单一专家赋权或客观赋权的不足。然后采用云模型对各方案进行优劣排序,充分发挥了云模型能反映评价信息的模糊性和随机性的优势。最后结合IEEE Garver-6算例验证了该决策方法的有效性。

关键词: 输电网规划方案, 综合决策, 组合权重, 云模型, 粒子群优化算法

Abstract:

According to the uncertainty of comprehensive decision-making and the strong subjectivity of index weight determining method in power transmission network planning, a comprehensive decision-making method for transmission network planning schemes was proposed based on the combined weight and cloud model. Firstly, based on the subjective weights calculated by analytic hierarchy process (AHP) and order relation method as well as the objective weights calculated by entropy method and variation coefficient method, the combined weight of each evaluation index was obtained by particle swarm optimization (PSO) algorithm, in order to remedy the insufficiency of experts assigned index weight and objective weight. Then the cloud model was adapted to determine the comprehensive evaluation results of each network planning scheme, which could fully reflect the fuzziness and randomness of index information. Finally, a simulation analysis of IEEE Garver-6 system was given to verify the effectiveness of the proposed decision-making method.

Key words:  transmission network planning scheme, comprehensive decision-making, combined weight, cloud model, particle swarm optimization algorithm

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