Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transformer

Hamid K. Ali1 Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaView further author information

Ahmed M. A. Haidar1 Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia;2 School of Engineering, University of Southern Queensland, Toowoomba, AustraliaCorrespondence[email protected]

https://orcid.org/0000-0002-5297-1162 View further author information

Norhuzaimin Julai1 Department of Electrical and Electronic Engineering, Universiti Malaysia Sarawak, Kota Samarahan, MalaysiaView further author information

Andreas Helwig2 School of Engineering, University of Southern Queensland, Toowoomba, AustraliaView further author information

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Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transformer

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Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transformer

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