Clustering approach to model order reduction of power networks with distributed controllers

Author:

Cheng XiaodongORCID,Scherpen Jacquelien M. A.

Funder

China Scholarship Council

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Cited by 19 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. Comparison of reduced basis construction methods for Model Order Reduction, with application to non-linear low frequency electromagnetics;Mathematics and Computers in Simulation;2023-09

2. Deep learning assisted surrogate modeling of large-scale power grids;Sustainable Energy, Grids and Networks;2023-06

3. Data-driven modeling of power networks1;2021 60th IEEE Conference on Decision and Control (CDC);2021-12-14

4. Designing of 2‐degree of freedom load frequency controller for power system using novel improved pole clustering and genetic method of reduced‐order modelling;International Transactions on Electrical Energy Systems;2021-08-21

5. Model Reduction Methods for Complex Network Systems;Annual Review of Control, Robotics, and Autonomous Systems;2021-05-03

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