| 引用本文: | 王涛,杨越,顾雪平,张祥成,张文朝.基于小波模糊熵GG聚类的同调机群识别[J].电力自动化设备,2018,(7): |
| WANG Tao,YANG Yue,GU Xueping,ZHANG Xiangcheng,ZHANG Wenchao.Identification of coherent generators based on wavelet fuzzy entropy and GG clustering[J].Electric Power Automation Equipment,2018,(7): |
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| 摘要: |
| 针对同调机群识别面临的特征提取片面及计算过程复杂相互制约的问题，提出一种基于小波模糊熵-GG(Gath-Geva)聚类的同调机组识别新方法。根据广域测量系统获取的故障后系统机组功角信息，利用多尺度小波分解将功角摇摆曲线分解为整体趋势和细节信息，计算各个尺度小波系数的模糊熵，并作为发电机的特征向量，再通过GG模糊聚类算法对其进行同调聚类。对IEEE 39节点系统和某实际电网进行仿真，算例分析结果表明所提方法能够根据故障后系统机组功角信息的变化更新功角数据库，实现快速准确的同调机群识别。 |
| 关键词: 同调机组 广域测量系统 小波分解 模糊熵 GG聚类 |
| DOI：10.16081/j.issn.1006-6047.2018.07.019 |
| 分类号:TM743 |
| 基金项目:国家自然科学基金资助项目(51677071)；国家电网公司科技项目(XT71-16-034)；中央高校基本科研业务费专项资金资助项目(2016MS130) |
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| Identification of coherent generators based on wavelet fuzzy entropy and GG clustering |
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WANG Tao1, YANG Yue1, GU Xueping1, ZHANG Xiangcheng2, ZHANG Wenchao3
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1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;2.State Grid Qinghai Electric Power Company Economic Research Institute, Xining 810000, China;3.NARI Group Corporation Beijing Monitoring Technology Center, Beijing 102200, China
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| Abstract: |
| A new method for identifying the coherent generators based on wavelet fuzzy entropy and GG(Gath-Geva) clustering is proposed to solve the contradiction between unilateral feature extraction and complex computation. The power angle swing curve obtained by the wide area measurement system is decomposed into the overall trend information and the detailed information by the multi-scale wavelet decomposition, and the fuzzy entropies of wavelet coefficients at each scale are calculated as the eigenvectors of the generators, which are used for coherent clustering by GG fuzzy clustering algorithm. Simulation is carried out for IEEE 39-bus system and a practical power system, and results show that the proposed method can update the power angle database according to the change of power angle after fault, realizing fast and accurate identification of coherent generators. |
| Key words: coherent generators wide area measurement system wavelet decomposition fuzzy entropy Gath-Geva clustering |
