müh.bil.ve araş.dergisi Mühendislik Bilimleri ve Araştırmaları Dergisi 2687-4415 Bandırma Onyedi Eylül Üniversitesi 10.46387/bjesr.1865025 Power Plants Electrical Engineering (Other) Elektrik Tesisleri Elektrik Mühendisliği (Diğer) Rüzgar Enerjisi Sistemlerinde PID Ayarlaması İçin GA ve PSO'nun Karşılaştırmalı Analizi Comparative Analysis of GA and PSO for PID Tuning in Wind Energy Systems https://orcid.org/0000-0003-1782-0024 Taşdemir Oğuz KIRŞEHİR AHİ EVRAN ÜNİVERSİTESİ https://orcid.org/0000-0002-9962-917X Metin Nuri Alper KIRIKKALE ÜNİVERSİTESİ, KIRIKKALE MESLEK YÜKSEKOKULU 04 30 2026 8 1 84 92 01 18 2026 02 16 2026 Copyright © 2019, Mühendislik Bilimleri ve Araştırmaları Dergisi 2019 Mühendislik Bilimleri ve Araştırmaları Dergisi

Bu çalışma, sezgisel algoritmalar kullanılarak 100 kW'lık bir rüzgar enerjisi dönüştürme sisteminde (WECS) çıkış gerilimini düzenlemek için PID kontrolör parametrelerinin optimizasyonuna ve karşılaştırmalı analizine odaklanmaktadır. İncelenen sistem, bir rüzgar türbini, bir Kalıcı Mıknatıslı Senkron Jeneratör (PMSG), üç fazlı diyot doğrultucu, bir DC-DC yükseltici dönüştürücü ve bir ohmik yükten oluşmaktadır. Değişen rüzgar hızlarında yük gerilimi kararlılığını korumak için, yükseltici dönüştürücünün kontrolünde kullanılan PID katsayıları (Kp, Ki, Kd), Genetik Algoritma (GA) ve Parçacık Sürü Optimizasyonu (PSO) yöntemleri kullanılarak belirlenmiştir. Her iki algoritma için de hata minimizasyonuna odaklanan standart bir amaç fonksiyonu tanımlanmıştır. MATLAB/Simulink'te gerçekleştirilen simülasyon sonuçları, her iki yöntemin de sistem performansını önemli ölçüde iyileştirdiğini göstermiştir. Karşılaştırmalı analizler, PSO algoritmasının referans gerilim değerine GA'dan daha hızlı ulaştığını, GA'nın ise referans değer etrafındaki salınımları en aza indirmede daha etkili olduğunu ortaya koymuştur.

This study focuses on the optimization and comparative analysis of PID controller parameters for regulating the output voltage in a 100 kW wind energy conversion system (WECS) using heuristic algorithms. The system under investigation consists of a wind turbine, a Permanent Magnet Synchronous Generator (PMSG), a three-phase diode rectifier, a DC-DC boost converter, and an ohmic load. To maintain load voltage stability under varying wind speeds, the PID coefficients (Kp, Ki, Kd) used in the control of the boost converter is determined using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. A standard objective function for minimizing error is defined for both algorithms. Simulation results performed in MATLAB/Simulink showed that both methods significantly improved system performance. Comparative analyses revealed that the PSO algorithm reached the reference voltage value faster than the GA, while the GA was more effective at minimizing oscillations around the reference value.

 Wind Energy Systems PID Tuning Genetic Algorithm Particle Swarm Optimization Rüzgar Enerji Sistemleri PID Ayarlama Genetik Algoritma Parçacık Sürü Optimizasyonu B.A. Türkmen, “Life Cycle Environmental Impacts of Wind Turbines: A Path to Sustainability with Challenges”, Sustainability, vol. 16, no. 13, pp. 5365, 2024. M.A. Hannan, M. Faisal, P.J. Ker, R.A. Begum and Z.A.M. Yusof, “Wind Energy Conversions, Controls, and Applications: A Review for Sustainable Technologies and Directions”, Sustainability, vol. 15, no. 5, pp. 3986, 2023. B. Majout, M. El Mokadem, A. Chouder and S. Silvestre, “A Review on Popular Control Applications in Wind Energy Conversion System Based on Permanent Magnet Generator (PMSG)”, Energies, vol. 15, no. 17, pp. 6238, 2022. A. Raouf, M.A. Hannan, A.Q. Al-Shetwi and M.S. Hossain, “Wind Energy Conversion Systems Based on a Synchronous Generator: Comparative Review of Control Methods and Performance”, Energies, vol. 16, no. 5, pp. 2147, 2023. A.G. Sánchez, “Non-Integer Order Approximation of a PID-Type Controller for Boost Converters”, Energies, vol. 14, no. 11, pp. 3153, 2021. R. Niu, Y. Li, X. Wang and H. Zhang, “Model Predictive Control of DC–DC Boost Converter Based on Generalized Proportional Integral Observer”, Energies, vol. 16, no. 3, pp. 1245, 2023. J.-W. Perng and G.-Y. Chen, “Optimal PID Controller Design Based on PSO-RBFNN for Wind Turbine Control System”, Energies, vol. 7, no. 1, pp. 191–209, 2014. R. Nalepa, K. Najdek and B. Strong, “Hybrid Tuning of a Boost Converter PI Voltage Compensator by Means of the Genetic Algorithm and the D-Decomposition”, Energies, vol. 14, no. 1, pp. 173, 2021. A.S. Pehlivan and M.M. Ertuğrul, “Genetically Optimized Pitch Angle Controller of a Wind Turbine for Power Regulation”, Energies, vol. 15, no. 18, pp. 6705, 2022. L. Stefan and F. Yusivar, “Modeling of Wind Turbine Generator with Boost Converter MPPT”, Proceedings of the 2nd International Conference on Smart Grid and Smart Cities, pp. 100–104, 2018. R.I. Putri, “Design of Simple Power Converter for Small Scale Wind Turbine System for Battery Charger”, pp. 169–173, 2018. S. Tammaruckwattana, “Experimental Verification of Variable Speed Wind Power Generation System Using Permanent Magnet Synchronous Generator by Boost Converter Circuit”, Proceedings of IECON 2013, pp. 7157–7162, 2013. A. Kusumawardana, “Integrated Bi-Directional Buck-Boost Converter with Small Wind Turbine for Voltage Load Mitigation Using Intelligent Controller”, pp. 99–104, 2020. M. Rahimi, “Modeling, Control and Stability Analysis of Grid Connected PMSG Based Wind Turbine Assisted with Diode Rectifier and Boost Converter”, International Journal of Electrical Power & Energy Systems, vol. 93, pp. 84–96, 2017. J.G. González-Hernández et al., “Maximum Power Point Tracking Dataset for a Wind Energy Conversion System Based on a Reverse-Controller for a Multilevel Boost Converter”, Data in Brief, vol. 41, 2022. A. Zakaria, M.I. Marei and H.M. Mashaly, “A Hybrid Interleaved DC–DC Converter Based on Buck-Boost Topologies for Medium Voltage Applications”, e-Prime: Advances in Electrical Engineering, Electronics and Energy, vol. 6, pp. 100301, 2023. E. Mahersi, A. Khedher and M.F. Mimouni, “The Wind Energy Conversion System Using PMSG Controlled by Vector Control and SMC Strategies”, vol. 3, no. 1, 2013. A.S. Ghanim and A.N.B. Alsammak, “DQ Model of PMSG with the Most Proficient Dynamic Analysis in Standalone Grid”, vol. 2, no. 1, pp. 199–206, 2023. H. Kim, S. Kim and H. Ko, “Modeling and Control of PMSG-Based Variable-Speed Wind Turbine”, Electric Power Systems Research, vol. 80, pp. 46–52, 2010. Z. Civelek, M. Lüy, E. Çam and N. Barışçı, “Control of Pitch Angle of Wind Turbine by Fuzzy PID Controller”, Intelligent Automation & Soft Computing, vol. 22, no. 3, pp. 463–471, 2016. M.C. Ellis and Giritharan, “Simulation and Analysis of Full Wave Bridge Rectifier Connected to DC/DC Buck Converter Feeding DC Motor”, International Journal of Innovative Technology and Exploring Engineering, vol. 2, no. 9, pp. 2993–2996, 2019. O.P. Mahela and A.G. Shaik, “Comprehensive Overview of Grid Interfaced Solar Photovoltaic Systems”, Renewable and Sustainable Energy Reviews, vol. 68, pp. 316–332, 2017. I. El Haji, “Power Loss Analysis of Symmetrical Multilevel Boost Converter and Three-Level Boost Converter Compared to Classic Boost Converter”, Proceedings of the 5th International Conference on Power and Energy Technologies, pp. 102–106, 2023. M. Kumar, “Analysis of Conventional and Interleaved Boost Converter with Solar Photovoltaic System”, Proceedings of the International Conference on Intelligent Control, Computing and Smart Power, pp. 1–6, 2022. M. Hawsawi, H.M.D. Habbi, E. Alhawsawi, M. Yahya and M.A. Zohdy, “Conventional and Switched Capacitor Boost Converters for Solar PV Integration: Dynamic MPPT Enhancement and Performance Evaluation”, pp. 1–18, 2023. O.P. Djamel and M. Mahmoud, “Hardware Implementation of Digital PID Controller for DC–DC Boost Converter”, Proceedings of the 4th International Conference on Power Electronics and Their Applications, pp. 1–4, 2019. M.F. Adnan, M. Abdul, M. Oninda, M.M. Nishat and N. Islam, “Design and Simulation of a DC–DC Boost Converter with PID Controller for Enhanced Performance”, vol. 6, no. 9, pp. 27–32, 2017. M. Lüy, N.A. Metin and Z. Civelek, “PID ve Bulanık Mantık Denetleyiciyle Kollektif Kanat Hatve Açısı Kontrolü”, Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi, vol. 14, no. 3, pp. 321–332, 2022. Z. Civelek, E. Çam, M. Lüy and H. Mamur, “Proportional–Integral–Derivative Parameter Optimisation of Blade Pitch Controller in Wind Turbines by a New Intelligent Genetic Algorithm”, IET Renewable Power Generation, 2016. M. Lüy, “Classification of Heart Disease Dataset with k-NN Optimized by PSO and GWO Algorithms”, 2023. A.G. Gad, “Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review”, Artificial Intelligence Review, vol. 29, no. 5, 2022.