PMU Measurement Based Generator Parameter Calibration by Black-Box Optimization with A Stochastic Radial Basis Function Surrogate Model-Reference-Cited by-同舟云学术

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PMU Measurement Based Generator Parameter Calibration by Black-Box Optimization with A Stochastic Radial Basis Function Surrogate Model

Published:2021-04-11 Issue: Volume: Page:
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Container-title:2020 52nd North American Power Symposium (NAPS)
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Author:

Khazeiynasab Seyyed Rashid,Qi Junjian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9449648/9449634/09449684.pdf?arnumber=9449684

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sensitivity Matrix Based Parameter Identifiability Analysis for Generator Dynamic Models;2023 North American Power Symposium (NAPS);2023-10-15

2. Measurement-Based Parameter Identification of DC-DC Converters with Adaptive Approximate Bayesian Computation;2021 31st Australasian Universities Power Engineering Conference (AUPEC);2021-09-26

3. Generator Parameter Calibration by Adaptive Approximate Bayesian Computation With Sequential Monte Carlo Sampler;IEEE Transactions on Smart Grid;2021-09

4. Investigation of the impacts of the refill valve diameter on prestrike occurrence in gas circuit breakers;Physics of Fluids;2021-08

5. Generator Parameter Estimation by Q-Learning Based on PMU Measurements;2021 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2021-02-16

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