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一种基于摇摆曲线的电力系统同调机群识别新方法
滕林,李贵存
作者单位
摘要:
提出一种同调机群的识别方法,它通过对发电机摇摆曲线进行小波分解,利用其低频段信息进行重构,然后应用相关分析方法计算2台机组的相关系数,能够有效地对受扰后的多台机组进行同调性划分。该方法简明且易于实现,无论对临界失稳模式还是明显的失稳模式都能有效地判别,因此,具有较高的应用价值。通过新英格兰10机39节点系统验证了该方法的有效性。
关键词:  暂态稳定分析 小波分析 相关系数 摇摆曲线 同调机群识别法 电力系统
DOI:
分类号:TM711
基金项目:
A new method of coherency identification to disturbed generators based on its swing curves
TENG Lin 1  LIU Wan shun 1  LI Gui cun 2  ZHENG Tao 1
Abstract:
A coherency identification method to disturbed generators is introduced.It applies the wavelet decomposing to the swing curves of the disturbed generators,uses the information of lower frequency section in restruction.Applying correlative analysis,the correlative coefficient between any two generators is calculated to effectively identify the coherency of disturbed generators.The technique presented is simple and easy to realize,applicable to both critical unstable and unstable modes.It is validated by the New England system of 10 machines and 39 nodes.
Key words:  coherency identification,transient stability assessment,wavelet analysis,correlative coefficient

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