2025年4月4日 周五
首页 > 过刊浏览>2021年第36卷第2期 >58-66. DOI:10.19781/j.issn.1673-9140.2021.02.007
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基于组合赋权和梯形云模型的发电商市场力评价
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TM732

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国网浙江省电力有限公司科技项目(5211JY17000W)


Market power evaluation of generators based on combination weighting and trapezoidal cloud model
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    摘要:

    针对目前发电商市场力评价忽略指标数据不确定性和模糊性的问题,提出一种基于组合赋权和梯形云模型的发电商市场力综合评价方法。首先,该方法建立发电商市场力评价指标体系,采用组合赋权法得到各指标的权重;然后,利用梯形云模型计算各指标对各等级的隶属度,得到发电商隶属度评价向量;最后,将组合赋权与梯形云模型相结合按最大隶属度原则实现对发电商市场力的综合评价。算例分析验证该方法的可行性及有效性。

    Abstract:

    Aiming at the problem that the current market power evaluation of generators ignores the uncertainty and ambiguity of the index data, a comprehensive evaluation method of generators' market power based on the combined weighting and trapezoidal cloud model is proposed. Firstly, the method establishes the market power evaluation index system of power producers, and uses the combination weighting method to obtain the weights of each index. Then, the trapezoidal cloud model is utilized to calculate the membership degree of each index to each level, and the evaluation degree vector is obtained. Combining the combination weighting with the trapezoidal cloud model, the comprehensive evaluation of the power generation market power is realized according to the principle of maximum membership degree. The feasibility and accuracy of this method are verified by the case study.

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引用本文

刘军,王苗,严清心,等.基于组合赋权和梯形云模型的发电商市场力评价[J].电力科学与技术学报,2021,36(2):58-66.
Liu Jun, Wang Miao, Yan Qingxin, et al. Market power evaluation of generators based on combination weighting and trapezoidal cloud model[J]. Journal of Electric Power Science and Technology,2021,36(2):58-66.

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  • 在线发布日期: 2021-05-08
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