Back propagation neural network clustering architecture for stability enhancement and harmonic suppression in wind turbines for smart cities-Reference-Cited by-同舟云学术

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Back propagation neural network clustering architecture for stability enhancement and harmonic suppression in wind turbines for smart cities

Published:2019-03 Issue: Volume:74 Page:105-116
ISSN:0045-7906
Container-title:Computers & Electrical Engineering
language:en
Short-container-title:Computers & Electrical Engineering

Author:

Yuan Zhi,Wang Weiqing,Fan Xiaochao

Funder

National Natural Science Foundation of China

Xinjiang Uygur Autonomous Region

Program for Innovative Research Team

Natural Science Foundation of Xinjiang

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference23 articles.

1. Real-time simulation of a wind turbine generator coupled with a battery super capacitor energy storage system;Li;IEEE Trans Ind Electron,2010

2. Flow batteries for enhancing wind power integration;Banham-Hall;IEEE Trans Power Syst,2012

3. Energy management optimization in a battery/super capacitor hybrid energy storage system;Choi;IEEE Trans Smart Grid,2012

4. Coordinated control of a DFIG-based wind-power generation system with SGSC under distorted grid voltage conditions;Yao;Energies,2013

5. Evaluation of measured power quality results of a wind farm connected to Taiwan power system;Lu;IEEE Trans Ind Appl,2016

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1. Fault ride-through capability improvement in a DFIG-based wind turbine using modified ADRC;Protection and Control of Modern Power Systems;2022-12

2. Clustering for smart cities in the internet of things: a review;Cluster Computing;2022-06-27

3. Multi objective control scheme on DFIG wind turbine integrated with energy storage system and FACTS devices: Steady-state and transient operation improvement;International Journal of Electrical Power & Energy Systems;2022-02

4. Examination of the Chance Constrained Optimal WT Penetration Level in Distorted Distribution Network with Wind Speed and Load Uncertainties;Engineering, Technology & Applied Science Research;2021-08-21

5. Wind–Water Experimental Analysis of Small SC-Darrieus Turbine: An Approach for Energy Production in Urban Systems;Sustainability;2021-05-08

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