首页|基于云模型的电压暂降严重度评估

基于云模型的电压暂降严重度评估

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针对电压暂降严重程度判断的模糊性,评估结果必须与其他暂降事件对比才能得到自身相对严重度.而一般等级评估方法无法考虑到评价中存在的指标量化模糊和等级边界的不确定性问题.基于组合赋权云模型理论,提出了兼顾系统侧和负荷侧多指标的电压暂降严重程度评估方法.通过分析典型敏感设备耐受曲线构建指标集合,得到不同指标的等级划分,运用云模型对指标严重等级进行定性和定量描述.然后通过TOPSIS理想点法对指标进行主客观组合赋权.最后利用云模型隶属度和云相似度的算法分别对节点和整个系统电压暂降严重等级进行判断.通过IEEE 30节点系统进行仿真验证,云模型能反映指标数据的定性和定量、模糊和随机性以及不确定性等特征,使电压暂降评估更加合理.
Evaluation of Voltage Sag Severity Based on Cloud Model
Aiming at the ambiguity of judging the severity of voltage sags,the evaluation results must be compared with other sag events to obtain their own relative severity.However,the general grading evaluation method cannot regard to the quantification of the indicators and the indeterminacy of the grading borderline.Based on the theory of combined weighted cloud model,a voltage sag graveness level assessment way is presented which considered both system side and load side indexes.By analyzing the tolerance splines of subtle facility,a set of indicators is constructed,and the grades of different indicators are obtained.The cloud model is applied to qualitatively and quantitatively express the severity of the indicators.Then through the TOPSIS ideal point method,the indicators are weighted by assembly of subjective and objective.Lastly,the cloud model membership and cloud similarity are used to judge the node and the system voltage sag graveness level.Through the IEEE 30 node system simulation verification,the cloud model can reflect the qualitative and quantitative,ambiguity and stochasticity,indeterminacy of index data to make the voltage sag assessment is more reasonable.

Voltage sagcloud modelseverity levelcombination weighting

孙琳韬、王新环、李学娟

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河南理工大学电气工程及其自动化学院 焦作 454000

电压暂降 云模型 严重等级 组合赋权

河南省自然科学基金河南省科技攻关

162300410349212102210252

2024

电气工程学报
机械工业信息研究院

电气工程学报

CSTPCD北大核心
影响因子:0.121
ISSN:2095-9524
年,卷(期):2024.19(2)
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