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感应电动机群分组及聚合算法的比较分析

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由于感应电动机群中各电动机的负荷特性存在较大差异,感应电动机群分组及聚合所依据的原则难以确定,很难选择最为合适的感应电动机群分组及聚合算法。因此,本文采用将典型的三种分组算法及三种聚合算法交叉组合的方式将IEEE推荐的 7 种典型感应电动机等值,并在单机无穷大系统中比较分析各等值方法的等值效果。结果表明,三种分组算法和三种聚合算法交叉组合后不同等值方法的等值效果有明显差异,其中基于电动机负载率和临界滑差修正的加权聚合法的等值效果较好。
Comparison and analysis of grouping and aggregation algorithm for induction motor group
Induction motor equivalent is one of the most important parts in load modeling with strong influence on the accuracy of power system simulation calculation.Due to the great difference in the load characteristics of each motor,it's difficult to determine the principle which the grouping and aggregation algorithm based on.In this paper,the three typical grouping algorithms and three aggregation algorithms were cross-combined to equivalent the 7 typical induction motors recommended by IEEE,and the equivalent effect of each method was compared in single machine infinite system to study the influence on the equivalence accuracy of each method.The results show that there is a significant difference in the equivalence effect of different equivalence methods after the cross-combination of the three grouping algorithms and the three aggregation algorithms,among which the weighted aggregation method based on the correction of motor load factor and critical slip has the best equivalence effect.

load modelinginduction motors equivalentgrouping algorithmaggregation algorithmcross combination

张思阳、陈宇杰、杨浩伯、吴浩、鞠平

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浙江大学 电气工程学院,浙江 杭州 310027

负荷等值建模 感应电动机群等值 分组算法 聚合算法 交叉组合

国家自然科学基金资助项目

51837004

2024

能源工程
浙江省能源研究所 浙江省能源研究会

能源工程

影响因子:0.314
ISSN:1004-3950
年,卷(期):2024.44(1)
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