یک روش هوشمند مبتنی بر سیستم چند‌عاملی به منظور حفاظت از شبکه‌های توزیع

محورهای موضوعی : مهندسی برق قدرت

دانیال علی بیگی ¹ (دانشکده مهندسی برق، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
احسان عباسپور ² (دانشکده مهندسی برق، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
بهادر فانی ³ (دانشکده مهندسی برق، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران|مرکز تحقیقات ریزشبکه های هوشمند، واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران)
حیدر صامت ⁴ (دانشکده مهندسی برق، دانشگاه شیراز، شیراز، ایران)

تاریخ دریافت : 1400/12/10 تاریخ پذیرش : 1401/03/17 تاریخ انتشار : 1401/03/01

کلید واژه: حفاظت هوشمند, سیستم چندعاملی, شبکه توزیع, تولید پراکنده,

چکیده مقاله :

امروزه حضور منابع تولید پراکنده این شبکه‌ها را به حالت پویا تبدیل کرده‌است. تغییر حرکت جریان، افزایش میزان جریان خطا و به دنبال آن از دست رفتن هماهنگی و همچنین اشتباه در عملکرد رله‌های نواحی سالم در شبکه از جمله مشکلات استفاده از این منابع بوده است. پیدا کردن راه حل برای رفع این دسته از مشکلات در طول سالیان متوالی، همواره چالش برانگیز بوده است. هدف این مقاله ارائه یک راه حل جدید در بررسی عملکرد سیستم حفاظت شبکه‌‌‌‌‌‌‌های انرژی الکتریکی به کمک تجهیزات هوشمند الکترونیکی و با استفاده از پروتکلهای ارتباطی موجود در سطح شبکه‌‌‌‌‌‌‌های توزیع می‌باشد. در سالهای اخیر استفاده از بستر مخابراتی و بکارگیری تجهیزات هوشمند بستری را فراهم کرده که توانسته است کارآمدی خود را در برابر تغییرات ناگهانی شبکه نشان دهد. سیستم چندعاملی، نام این بستر ارتباطی می‌باشد که توانسته است با طرحی نو، پیشگام در شروع یک تحول بنیادی در طراحی سیستمهای حفاظتی شبکه‌‌‌‌‌‌‌های انرژی الکتریکی باشد. این سیستم‌‌‌‌‌‌‌ها نشان داده‌اند که بدون مشکل نیز نبوده‌ و در مواردی شبکه را با مشکلاتی مواجه کرده‌اند. در طرح پیشنهادی ساختار چندلایه سیستم چندعاملی شکسته شده و سطوح از وابستگی یکدیگر خارج خواهند شد. بر خلاف روش حفاظتی سیستم چندعاملی که در گذشته وجود داشته است، تنظیمات حفاظتی در لحظه خطا برای تمام شبکه محاسبه نمی‌گردد. این مسئله که در روش‌‌‌‌‌‌‌های قبلی دیده نشده چگالی بار زیادی را هم از روی واحد مرکزی برداشته و سرعت عملکرد و قابلیت اطمینان در عملکرد سیستم حفاظت را بالا می‌برد.

چکیده انگلیسی:

Nowadays, the presence of distributed generations has made traditional networks into dynamic state. Current flow fluctuation, increment of fault current and as a result loss of coordination and also error in relays operation in safe sections in the network have been among the problems due to using these generations. Finding solution for these problems has always been challenging over the years. The purpose of this paper is to suggest a new solution in the study of protection system operation in electrical energy networks by using intelligent electronic equipment with communication protocols at the level of distribution networks. In recent years, telecommunications platform and intelligent equipment usage has provided a platform that has been able to show its effectiveness against network sudden changes. Multi-Agent system is the name of this communication platform that has been able to pioneer the beginning of a fundamental change in the design of protection systems in electrical energy networks by using a new scheme. These systems have shown that they have not been without problems and in some cases have caused problems for the network. In the proposed approach, the multilayer structure of the multi-agent system will be broken and the surfaces will be independent of each other. Unlike the typical multi-agent system protection method, protection settings at the moment of fault are not calculated for the entire network. This problem, which has not been seen in previous methods, also removes a large load density from the central unit and increases the operating speed and reliability of the protection system.

منابع و مأخذ:

1. H. Yazdanpanahi, Y. W. Li and W. Xu, “A New Control Strategy to Mitigate the Impact of Inverter-Based DGs on Protection System,” in IEEE Transactions on Smart Grid, vol. 3, no. 3, pp. 1427-1436, Sept. 2012, doi: 10.1109/TSG.2012.2184309.


2. K. A. Wheeler, M. Elsamahy and S. O. Faried, “A Novel Reclosing Scheme for Mitigation of Distributed Generation Effects on Overcurrent Protection,” in IEEE Transactions on Power Delivery, vol. 33, no. 2, pp. 981-991, April 2018, doi: 10.1109/TPWRD.2017.2743693.


3. R. A. Walling, R. Saint, R. C. Dugan, J. Burke and L. A. Kojovic, “Summary of Distributed Resources Impact on Power Delivery Systems,” in IEEE Transactions on Power Delivery, vol. 23, no. 3, pp. 1636-1644, July 2008, doi: 10.1109/TPWRD.2007.909115.


4. N. Rajaei, M. H. Ahmed, M. M. A. Salama and R. K. Varma, “Fault Current Management Using Inverter-Based Distributed Generators in Smart Grids,” in IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2183-2193, Sept. 2014, doi: 10.1109/TSG.2014.2327167.


5. C. Prapanukool and S. Chaitusaney, “An appropriate disconnecting time of distributed generation by optimal protection setting and transformer connection type,” 2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Phetchaburi, 2012, pp. 1-4, doi: 10.1109/ECTICon.2012.6254264.


6. J. K. Tailor and A. H. Osman, “Restoration of fuse-recloser coordination in distribution system with high DG penetration,”2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, PA, 2008, pp. 1-8, doi: 10.1109/PES.2008.4596422.


7. S. M. Brahma and A. A. Girgis, “Development of adaptive protection scheme for distribution systems with high penetration of distributed generation,” in IEEE Transactions on Power Delivery, vol. 19, no. 1, pp. 56-63, Jan. 2004, doi: 10.1109/TPWRD.2003.820204.


8. F. Coffele, C. Booth and A. Dyśko, “An Adaptive Overcurrent Protection Scheme for Distribution Networks,” in IEEE Transactions on Power Delivery, vol. 30, no. 2, pp. 561-568, April 2015, doi: 10.1109/TPWRD.2013.2294879.


9. H. F. Habib, M. E. Hariri, A. Elsayed and O. Mohammed, “Utilization of supercapacitors in adaptive protection applications for resiliency against communication failures: A size and cost optimization case study,” 2017 IEEE Industry Applications Society Annual Meeting, Cincinnati, OH, 2017, pp. 1-8, doi: 10.1109/IAS.2017.8101884.


10. M. Singh, T. Vishnuvardhan and S. G. Srivani, “Adaptive protection coordination scheme for power networks under penetration of distributed energy resources,” in IET Generation, Transmission & Distribution, vol. 10, no. 15, pp. 3919-3929, 17 11 2016, doi: 10.1049/iet-gtd.2016.0614.


11. H. Wan, K. K. Li and K. P. Wong, “An Adaptive Multiagent Approach to Protection Relay Coordination With Distributed Generators in Industrial Power Distribution System,” in IEEE Transactions on Industry Applications, vol. 46, no. 5, pp. 2118-2124, Sept.-Oct. 2010, doi: 10.1109/TIA.2010.2059492.


12. D. Uthitsunthorn and T. Kulworawanichpong, “Distance protection of a renewable energy plant in electric power distribution systems,” 2010 International Conference on Power System Technology, Hangzhou, 2010, pp. 1-6., doi: 10.1109/POWERCON.2010.5666058.


13. S. Chaitusaney and A. Yokoyama, “Prevention of Reliability Degradation from Recloser–Fuse Miscoordination Due To Distributed Generation,” inIEEE Transactions on Power Delivery, vol. 23, no. 4, pp. 2545-2554, Oct. 2008, doi: 10.1109/TPWRD.2007.915899.


14. T. Saksornchi and B. Eua-arporn, “Determination of allowable capacity of distributed generation with protection coordination”, Eng, J, Vol 13 No 3, Nov 3, 2009, doi: 10.4186/ej.2009.13.3.29.


15. J. Chen, R. Fan, X. Duan and J. Cao, “Penetration level optimization for DG considering reliable action of relay protection device constrains,”2009 International Conference on Sustainable Power Generation and Supply, Nanjing, 2009, pp. 1-5, doi: 10.1109/SUPERGEN.2009.5348221.


16. S. M. Brahma and A. A. Girgis, “Microprocessor-based reclosing to coordinate fuse and recloser in a system with high penetration of distributed generation,” 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309), New York, NY, USA, 2002, pp. 453-458 vol.1, doi: 10.1109/PESW.2002.985041.


17. I. Xyngi and M. Popov, “An Intelligent Algorithm for the Protection of Smart Power Systems,” in IEEE Transactions on Smart Grid, vol. 4, no. 3, pp. 1541-1548, Sept. 2013, doi: 10.1109/TSG.2013.2244621.


18. A. Agheli, H. A. Abyaneh, R. M. Chabanloo and H. H. Dezaki, “Reducing the impact of DG in distribution networks protection using fault current limiters,” 2010 4th International Power Engineering and Optimization Conference (PEOCO), Shah Alam, 2010, pp. 298-303, doi: 10.1109/PEOCO.2010.5559205.


19. W. El-Khattam and T. S. Sidhu, “Restoration of Directional Overcurrent Relay Coordination in Distributed Generation Systems Utilizing Fault Current Limiter,” in IEEE Transactions on Power Delivery, vol. 23, no. 2, pp. 576-585, April 2008, doi: 10.1109/TPWRD.2008.915778.


20. H. Zhan et al., “Relay protection coordination integrated optimal placement and sizing of distributed generation sources in distribution networks,” 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, 2016, pp. 1-1, doi: 10.1109/PESGM.2016.7741277.


21. C. Su, Z. Liu, Z. Chen and Y. Hu, “An adaptive control strategy of converter based DG to maintain protection coordination in distribution system,” IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, 2014, pp. 1-6, doi: 10.1109/ISGTEurope.2014.7028900.


22. Z. Liu, C. Su, H. K. Høidalen and Z. Chen, “A Multiagent System-Based Protection and Control Scheme for Distribution System With Distributed-Generation Integration,” in IEEE Transactions on Power Delivery, vol. 32, no. 1, pp. 536-545, Feb. 2017, doi: 10.1109/TPWRD.2016.2585579.


23. P. Mahat, Z. Chen, B. Bak-Jensen and C. L. Bak, “A Simple Adaptive Overcurrent Protection of Distribution Systems With Distributed Generation,” in IEEE Transactions on Smart Grid, vol. 2, no. 3, pp. 428-437, Sept. 2011, doi: 10.1109/TSG.2011.2149550.


24. M. Singh, T. Vishnuvardhan and S. G. Srivani, “Adaptive protection coordination scheme for power networks under penetration of distributed energy resources,” in IET Generation, Transmission & Distribution, vol. 10, no. 15, pp. 3919-3929, 17 11 2016, doi: 10.1049/iet-gtd.2016.0614.


25. H. F. Habib, T. Youssef, M. H. Cintuglu and O. A. Mohammed, “Multi-Agent-Based Technique for Fault Location, Isolation, and Service Restoration,” in IEEE Transactions on Industry Applications, vol. 53, no. 3, pp. 1841-1851, May-June 2017, doi: 10.1109/TIA.2017.2671427.


26. A. Manickam, S. Kamalasadan, D. Edwards and S. Simmons, “A Novel Self-Evolving Intelligent Multiagent Framework for Power System Control and Protection,” in IEEE Systems Journal, vol. 8, no. 4, pp. 1086-1095, Dec. 2014, doi: 10.1109/JSYST.2013.2269731.


27. M. Pipattanasomporn, H. Feroze and S. Rahman, “Multi-agent systems in a distributed smart grid: Design and implementation,” 2009 IEEE/PES Power Systems Conference and Exposition, Seattle, WA, 2009, pp. 1-8, doi: 10.1109/PSCE.2009.4840087.


28. H. Wan, K. K. Li and K. P. Wong, “Multi-agent application of substation protection coordination with distributed generators,” 2005 International Conference on Future Power Systems, Amsterdam, 2005, pp. 6 pp.-6, doi: 10.1109/FPS.2005.204251.


29. Z. Liu and H. K. Høidalen, “A simple multi agent system based adaptive relay setting strategy for distribution system with wind generation integration,” 13th International Conference on Development in Power System Protection 2016 (DPSP), Edinburgh, 2016, pp. 1-6, doi: 10.1049/cp.2016.0025.


30. IEC standard for single input energizing quantity measuring relays with dependent or independent time, IEC standard 60255 (2009).


31. K. Kauhaniemi and L. Kumpulainen, “Impact of distributed generation on the protection of distribution networks,” 2004 Eighth IEE Int. Conf. Develop. Power Syst. Protect., 2004, pp. 315-318 Vol.1, doi: 10.1049/cp:20040126.


32. G. Zhabelova and V. Vyatkin, “Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes,” IEEE Trans. Ind. Elect., vol. 59, no. 5, pp. 2351-2362, May 2012, doi: 10.1109/TIE.2011.2167891.


33. W. X. Sheng, X. S. Yang, “Multi-Agent system applied in electric power system”, Beijing: China Electrical Power, pp.18.