Integration of Wind and Solar Hybrid Power Generation Systems into The Grid and Control of Power Quality with Fuzzy Logic

Abstract

In this study, a grid-connected hybrid system composed of a solar and wind power generation system is modelled and analyzed in Matlab/Simulink. In addition, the quality of power generated by the hybrid power generation system is improved by using Fuzzy Logic (FL) and Proportional-Integral (PI) controllers. Measurements of the frequency, voltage, power and harmonics of the system and the grid are evaluated. In addition, the voltage and frequency fluctuation times prior to synchronization between the hybrid generation system and the grid are analyzed. The voltage rises that occur on the grid while the system is idling have been checked. After synchronization, the voltage, power, frequency and phase angle values measured at the load and at the grid in the hybrid system were observed individually. According to the measured values obtained as a result of the simulation study, the performance of the hybrid power generation system is analyzed.

Keywords

• Wind
• Solar
• PV
• On-grid
• Fuzzy Logic

Rüzgâr ve Güneş Hibrit Güç Üretim Sisteminin Şebekeye Entegre Edilmesi ve Güç Kalitesinin Bulanık Mantık ile Kontrolü

Öz

Bu çalışmada, güneş ve rüzgâr enerjisi üretim sisteminden oluşan şebeke bağlantılı bir hibrit sistem Matlab/Simulink'te modellenmiş ve analiz edilmiştir. Ayrıca, hibrit enerji üretim sistemi tarafından üretilen gücün kalitesi Bulanık Mantık (FL) ve Oransal-İntegral (PI) kontrolörler kullanılarak iyileştirilmiştir. Sistemin ve şebekenin frekans, gerilim, güç ve harmonik ölçümleri değerlendirilmiştir. Ayrıca hibrit üretim sistemi ile şebeke arasındaki senkronizasyon öncesi gerilim ve frekans dalgalanma süreleri analiz edilmiştir. Sistem rölantide çalışırken şebekede meydana gelen gerilim yükselmeleri kontrol edilmiştir. Senkronizasyon sonrasında hibrit sistemde yükte ve şebekede ölçülen gerilim, güç, frekans ve faz açısı değerleri ayrı ayrı gözlemlenmiştir. Simülasyon çalışması sonucunda elde edilen ölçülen değerlere göre hibrit güç üretim sisteminin performansı analiz edilmiştir.

Anahtar Kelimeler

• Rüzgar
• Güneş
• PV
• On-grid
• Bulanık Mantık

Kaynakça

1. Başaran K. Optimization of fuzzy logic controlled autonomous and grid connected wind-pv hybrid power system and application in Adnan Menderes University's campus. Ege University, Institute of Science, PhD Thesis, 2013.
2. Dursun E. Analysis of a stand-alone wind-solar and hydrogen hybrid power system. Marmara University, Institute of Science, PhD Thesis, 2013.
3. Erdal L. Determinants of the energy supply security and renewable energy sources as an alternative. Adnan Menderes University, Institute of Social Sciences, PhD Thesis, 2011.
4. Ersoy D. The investigation of wind and solar interconnected grid-connected system optimal load distribution with different algorithms. Kocaeli University, Institute of Science, MSc Thesis, 2015.
5. The International Renewable Energy Agency (IRENA). Renewable energy statistics in 2024. https://www.irena.org/Publications/2024/Mar/Renewable-capacity-statistics-2024 Access Date: 29.07.2024.
6. Ismail NFN., Musirin I., Baharom R., Johari D. Fuzzy logic controller on DC/DC boost converter. IEEE International Conference on Power and Energy 2010; 661-666.
7. Katırcıoğlu F., Kelek MM., Şen M., Koyuncu I., Oğuz Y. FPGA-based design of gaussian membership function for real-time fuzzy logic applications. V. International Multidisciplinary Congress of Eurasia, 2018; 1: 24-30.
8. Kaya Ü. Off-grid hybrid wind-solar energy production system's energy flow control via fuzzy logic. Afyon Kocatepe University, Institute of Science, MSc Thesis, 2019.

9. Kumar S., Garg V. Hybrid system of PV solar / wind & fuel cell. International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, 2013; 2(1): 3666-3679.
10. Oğuz E. Simulation and power flow control with fuzzy logic controller on wind-solar hybrid power generation system with battery storage for a laboratory lighting system. Afyon Kocatepe University, Institute of Science, MSc Thesis, 2012.
11. Oğuz Y. Modeling, analyzing and improving the performance of a hybrid power production system using neuro-fuzzy controller, Marmara University, Institute of Science, PhD Thesis, 2007.
12. Shashi KK., Rekha J. Modeling simulation and performance analysis of hybrid power generation system. International Journal of Innovative Research in Science, Engineering and Technology 2015; 9(1): 5837-5844.
13. Republic of Türkiye Ministry of Energy and Natural Resources. https://enerji.gov.tr/bilgi-merkezi-enerji-ruzgar Access date: 30.04.2024
14. Ulutaş H. Hybrid (wind + sun) system design and analysis for rural facilities. Ordu University, Institute of Science, MSc Thesis, 2015.