Derivation of generic equivalent models for distribution network analysis using artificial intelligence techniques-Reference-Cited by-同舟云学术

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Derivation of generic equivalent models for distribution network analysis using artificial intelligence techniques

Published:2023 Issue: Volume: Page:1-25
ISSN:
Container-title:Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
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Author:

Kontis Eleftherios O.,Papadopoulos Theofilos A.,Syed Mazheruddin H.,Papagiannis Grigoris K.

Publisher

Elsevier

Reference34 articles.

1. Task Force on Identification of Electromechanical Modes. Identification of Electromechanical Modes in Power Systems, Technical Report PES-TR15, IEEE Power & Energy Society, Piscataway, NJ, USA, 2019.

2. Right-sized power system dynamic equivalents for power system operation;Feng Ma;IEEE Transactions on Power Systems,2011

3. Dynamic equivalencing of distribution networks with dispersed generation using Hankel norm approximation;Ishchenko;IET Generation, Transmission & Distribution,2007

4. A toolbox for analyzing and testing mode identification techniques and network equivalent models;Kontis;Energies,2019

5. Modelling and Aggregation of Loads in Flexible Power Networks;Cigre Working Group C4.605,2014

Cited by 1 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. An Adaptive Dynamic Model for Reducing the Size of A Power System for Large Variations in the Operating Point using LSTM RNNs;2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG);2023-12-03

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