Ibrahim, A., fathy, K., Ebeed, M., Kamel, S., Refai, A., Jurado, F. (2023). Optimal Setting of the Proportional–Integral Controllers for Performance Enhancement of the WECS Based on PMSG Under Grid Faults Using Novel Optimization Algorithm. test, 3(2), 97-109. doi: 10.21608/sej.2023.197730.1033
Abd El-hady Ramadan Ibrahim; khairy fathy; Mohamed Ebeed; Salah Kamel; Ahmed Refai; Francisco Jurado. "Optimal Setting of the Proportional–Integral Controllers for Performance Enhancement of the WECS Based on PMSG Under Grid Faults Using Novel Optimization Algorithm". test, 3, 2, 2023, 97-109. doi: 10.21608/sej.2023.197730.1033
Ibrahim, A., fathy, K., Ebeed, M., Kamel, S., Refai, A., Jurado, F. (2023). 'Optimal Setting of the Proportional–Integral Controllers for Performance Enhancement of the WECS Based on PMSG Under Grid Faults Using Novel Optimization Algorithm', test, 3(2), pp. 97-109. doi: 10.21608/sej.2023.197730.1033
Ibrahim, A., fathy, K., Ebeed, M., Kamel, S., Refai, A., Jurado, F. Optimal Setting of the Proportional–Integral Controllers for Performance Enhancement of the WECS Based on PMSG Under Grid Faults Using Novel Optimization Algorithm. test, 2023; 3(2): 97-109. doi: 10.21608/sej.2023.197730.1033

Optimal Setting of the Proportional–Integral Controllers for Performance Enhancement of the WECS Based on PMSG Under Grid Faults Using Novel Optimization Algorithm

Sohag Engineering Journal
Volume 3, Issue 2, September 2023, Pages 97-109    PDF (4.36 M)
Document Type: Original Article
DOI: 10.21608/sej.2023.197730.1033
Authors
Abd El-hady Ramadan Ibrahim* 1; khairy fathy2; Mohamed Ebeed3; Salah Kamel4; Ahmed Refai3; Francisco Jurado5
1Electrical Engineering Department -Faculty of Engineering -Sohag University
2Electrical, Enginereeing, sohag, Egypt
3Electrical Engineering Department, Sohag University, 82524, Sohag, Egypt
4Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt
5Department of Electrical Engineering, University of Jaén, 23700 EPS Linares, Jaén, Spain
Abstract
Because of the depletion of fossil fuels, as well as economic and environmental concerns, renewable energy resources (RERs) have become widely integrated into the power system. The permanent magnet synchronous generator (PMSG) is regarded as one of the most promising wind energy conversion technologies (WECS). However, if a fault occurs, the PMSG's behavior will be significantly altered. This study describes a new attempt to optimally design proportional-integral (PI) controllers using a novel partial swarm optimization (PSO) approach. All converters of a grid-connected (PMSG) driven by a variable-speed wind turbine use optimal PI controllers. Such WECSs (WECS) include a machine -side converter (MSC) and a grid-side converter (GSC). The proposed PSO-based PI controllers use a vector control technique to optimally control both of these converters. The MSC is employed for determining the maximum power point. generator currents and reactive generated power Furthermore, the GSC is mostly used to regulate the point of common coupling (PCC) voltage, DC -bus voltage, and grid currents. The PSO is used to minimize the fitness function, which has the squared error of the sum of these variables. The range of the proportional and integral gains of the PI controllers is one of the constraints of the optimization problem. MATLAB/SIMULINK software is used to implement all simulation investigated results, including the PSO code. This is a notable and novel contribution of this study, The proposed PSO based PI controllers are validated against a variety of network disturbances, including balanced and unbalanced faults. The grid-linked PMSG's low voltage ride-through ability can be improved even more with the appropriate PSO based PI controllers.
Keywords
wind turbines; PMSG; WECS; grid faults; three phase to ground fault; line to line fault; PSO optimizer
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