SENKRON GENARATÖRDE KULLANILAN DİNAMİK MODELLERİN KÜÇÜK SİNYAL KARARLILIĞI ÜZERİNDEKİ ETKİLERİ

Year 2024, Volume: 10 Issue: 1, 113 - 119, 30.06.2024

Mehmet Kenan Döşoğlu , Enes Kaymaz

https://doi.org/10.22531/muglajsci.1458879

Abstract

Çok makineli güç sistemlerinde kullanılan generatörler arıza ve hat kopmaları gibi geçici durumlardan çok etkilenmektedir. Geçici durumlarda, sistem kararsız olmakta ve salınımlar artmaktadır. Özellikle, senkron generatörlerin dinamik modellemesi geçici kararlılık durumlarını etkili bir şekilde ortadan kaldırmaktadır. Bunu en iyi şekilde analiz etmek için küçük sinyal kararlılığı analizi yapılmaktadır. Yapılan bu çalışma, 3-makineli 9-baralı güç sisteminde küçük sinyal kararlılığı analizi için senkron generatörün 2. derece ve 5. derece modelleri kullanılarak MATLAB tabanlı olarak çalışan Güç Sistemleri Analizi Programı (PSAT)’da gerçekleştirilmiştir. Senkron generatörlerde 2. derece modeli geleneksel model olarak kullanılırken, 5. derece modeli dinamik derece modeli olarak geliştirilmiştir. Özellikle de 5. derece modelinde sistemin daha iyi sönümlenmesi için alt geçici model tabanlı olarak geliştirilmiştir. Her iki derece modelinde yapılan karşılaştırmalarda gerçek ile sanal değerler ve katılım faktörleri şekiller ile gösterilirken, özdeğerler, sönümleme yüzdesi, frekans, baskın değerler ve çalışma modları tablolar halinde sunulmuştur. Her iki derece modelinin senkron generatörde kullanılması ile sistemin özdeğerlerinin sayısı belirlenmiştir. Elde edilen sonuçlar, küçük sinyal kararlılığı analizinde 5. derece modelinin daha iyi sonuçlar verdiğini göstermiştir.

Keywords

Senkron generatör, Derece modeller, Küçük sinyal kararlılığı, PSAT

THE EFFECTS OF DYNAMIC MODELS USED IN SYNCHRONOUS GENERATOR ON SMALL SIGNAL STABILITY

Abstract

Generators used in multi-machine power systems are very affected by transient situations such as malfunctions and line breaks. In transient situations, the system becomes unstable, and oscillations increase. In particular, order modeling of synchronous generators effectively eliminates transient stability situations. To analyze this in the best way, a small signal stability analysis is performed. This study was carried out in the MATLAB-based Power Systems Analysis Program (PSAT), using the 2nd-order and 5th-order models of the synchronous generator for small signal stability analysis in a 3-machine 9-bus power system. While the 2nd-order model is used as the traditional model in synchronous generators, the 5th-order model has been developed as a dynamic order model. Especially in the 5th-order model, it was developed based on a sub-temporal model for better damping of the system. In the comparisons made in both order models, the real and imaginary values and participation factors are shown in figures, while the eigenvalues, damping percentage, frequency, dominant values, and operating modes are presented in tables. By using both order models in the synchronous generator, the number of eigenvalues of the system was determined. The results obtained showed that the 5th-order model gave better results in small signal stability analysis.

Keywords

Synchronous generator, Order models, Small signal stability, PSAT

References

• Elliott, R. T., Arabshahi, P., and Kirschen, D. S. "A Generalized PSS Architecture for Balancing Transient and Small-Signal Response", IEEE Transactions on Power Systems, Vol. 35 No.2, 1446-1456, 2019.
• Dey, P., Bhattacharya, A., and Das, P., "Tuning of Power System Stabilizer for Small Signal Stability Improvement of Interconnected Power System", Applied Computing and Informatics, Vol.16 No.1/2, 3-28, 2017.
• He, P., Ma, T., Li, Z., Chen, J., and Fang, Q., "Small-Signal Stability Analysis of Wind Power Integrated System with Different PSS Models", 5th Asia Conference on Power and Electrical Engineering (ACPEE), 2020, 721-726.
• He, P., Zheng, M., Jin, H., Gong, Z., and Dong, J. "Introducing MRAC-PSS-VI to Increase Small-Signal Stability of the Power System After Wind Power Integration", International Transactions on Electrical Energy Systems, Vol.2022, 1-12, 2022.
• Talha, A. and Qureshi, I. S. "Small Signal Stability Analysis of Power System with Wind Generation Using Optimized Wind PSS", Saudi Arabia Smart Grid (SASG), IEEE, 2015, 1-5.
• Mehta, B., Bhatt, P., and Pandya, V., "Small Signal Stability Analysis of Power Systems with DFIG based Wind Power Penetration", International Journal of Electrical Power & Energy Systems, Vol. 58, 64-74, 2014.
• Essallah, S., Bouallegue, A., and Khedher, A. "Integration of Automatic Voltage Regulator and Power System Stabilizer: Small-Signal Stability in DFIG-Based Wind Farms", Journal of Modern Power Systems and Clean Energy, Vol. 7 No. 5, 1115-1128, 2019.
• Bhukya, J., and Mahajan, V."Integration Of DFIG Based Wind Turbine Generator On Small Signal Stability Of Power Systems", Innovations in Power and Advanced Computing Technologies, IEEE, 2017, 1-6.
• Barot, S. B., Jain, M. V., Mehta, C. R., and Vora, S. C. "Small Signal Stability Analysis of DFIG Penetrated Multi-machine Power System with Synthetic Inertia Control", 20th National Power Systems Conference , IEEE,2018, 1-6.
• Abido, M. A., "Analysis and Assessment of STATCOM-based Damping Stabilizers for Power System Stability Enhancement", Electric Power Systems Research, Vol.73 No.2, 177-185, 2005.
• Mondal, D., Chakrabarti, A., and Sengupta, A., "Optimal Placement and Parameter Setting of SVC and TCSC using PSO to Mitigate Small Signal Stability Problem", International Journal of Electrical Power & Energy Systems, Vol. 42 No.1, 334-340,2012.
• Castro, M. S., Ayres, H. M., Da Costa, V. F., and Da Silva, L. C. P., "Impacts of the SSSC Control Modes on Small-Signal and Transient Stability of A Power System", Electric Power Systems Research, Vol.77 No. 1, 1-9, 2007.
• Seo, J. C., Moon, S. I., Park, J. K., and Choe, J. W. "Design of A Robust UPFC Controller for Enhancing the Small Signal Stability in the Multi-Machine Power Systems", In 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings, 2021, 1197-1202.
• Abido, M. A., "Power System Stability Enhancement Using FACTS Controllers: A Review", The Arabian Journal for Science and Engineering, Vol. 34 No.1B, 153-172, 2009.
• Nkosi, N. R., Bansal, R. C., Adefarati, T., Naidoo, R. M., and Bansal, S. K. "A Review of Small-Signal Stability Analysis of DFIG-based Wind Power System", International Journal of Modelling and Simulation, Vol.43 No.3, 153-170, 2023.
• F.Milano,Available:http://www.Power.uwaterloo.ca/-fmilano/archive/psat-1.3.4.pdf. Documentation for PSAT version 1. 3. 4. 2005.
• Kundur, P. and Wang, L. "Small Signal Stability Analysis: Experiences, Achievements, and Challenges". International Conference on Power System Technology Vol.1, 6-12, 2002.
• Kundur, P., Paserba, J., Ajjarapu, V., Andersson, G., Bose, A., Canizares, C., and Vittal, V. "Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions", IEEE transactions on Power Systems, Vol.19 No.3, 1387-1401,2004.
• Kundur P., Power System Stability and Control. McGraw Hill, New York, 1994.
• Milano F. "An Open Source Power System Analysis Toolbox ", IEEE Transaction on Power System, Vol. 20 No.3, 1199-1206, 2005.