Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers

Ratio error (RE) estimation of the voltage transformers (VTs) plays an important role in modern power delivery systems. Existing RE estimation methods mainly focus on periodical calibration but ignore the time-varying property. Consequently, it is difficult to efficiently estimate the state of the V...

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Veröffentlicht in:	IEEE transactions on evolutionary computation 2020-10, Vol.24 (5), p.868-881
Hauptverfasser:	He, Cheng, Cheng, Ran, Zhang, Chuanji, Tian, Ye, Chen, Qin, Yao, Xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmark test suite Benchmark testing Benchmarks Calibration Complex variables Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Electric power Electricity generation Error analysis Estimation inequality constraint large-scale multiobjective optimization Multiple objective analysis Optimization Scale (ratio) Science & Technology Substations Technology time-varying ratio error estimation (TREE) Voltage measurement voltage transformer (VT) Voltage transformers
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