Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/168832
Title: Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review
Authors: Sabo, Aliyu
Kolapo, Bashir Yunus
Odoh, Theophilus Ebuka
Dyari, Musa
Noor Izzri Abdul Wahab
Veerasamy, Veerapandiyan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Source: Sabo, A., Kolapo, B. Y., Odoh, T. E., Dyari, M., Noor Izzri Abdul Wahab & Veerasamy, V. (2023). Solar, wind and their hybridization integration for multi-machine power system oscillation controllers optimization: a review. Energies, 16(1), 24-. https://dx.doi.org/10.3390/en16010024
Journal: Energies 
Abstract: Massive growth in global electrical energy demand has necessitated a genuine exploration and integration of solar and wind energy into the electrical power mix. This incorporation goes a long way in improving the cumulative generated power capacity of the power system. However, wind and solar photovoltaic (PV) are intermittent in nature, making the provisioning of a good maximum power tracking (MPPT) scheme necessary. Furthermore, the integration is characterized by synchronization challenges and introduces various modes of power system oscillations as it is converter-driven. This greatly affects the overall stability of the integrated power mix. Consequently, various technological models have been designed to address these challenges ranging from MPPT schemes, phase-lock loop (PLL), virtual synchronous generator (VSG), power system stabilizers (PSS), flexible AC transmission system (FACTS), coordinated control and artificial intelligence (AI). In this work, a multi-machine power system model is reviewed for integration stability studies. Various technical solutions associated with the integration are also reviewed. MPPT, PLL, VSG, PSS, FACTS, coordinated control, and various optimization technique schemes used for damping controller design are discussed.
URI: https://hdl.handle.net/10356/168832
ISSN: 1996-1073
DOI: 10.3390/en16010024
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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