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Analiza wieloawaryjna w systemie elektroenergetycznym z wykorzystaniem szybkiego odłączonego przepływu obciążenia
Języki publikacji
Abstrakty
A multi-contingency analysis is essential to modern power systems that improve system security. It helps to identify and analyse the various possible contingencies that may arise during the operation of a power system. The anticipation of multi-contingency (N-2) cases is a very important task since most of these forced multiple outages can cause serious troubles within a short time, like severe violations of operation constraints, cascading failures, and system blackouts. Identifying these multiple outages will help with planning ahead to reduce the impact of these risks. This paper introduces an algorithm for analyzing the power system under multi-contingency analysis occurrence using the Fast Decoupled load flow method. The proposed algorithm was applied to the IEEE-30 Bus test system under different scenarios of multiple outages including the most severe case represented by the separation of bus-bars. The results show the effectiveness of the proposed algorithm regarding analysing and monitoring bus voltage, line flow, and total system losses. All programs were written in a MATLAB environment.
Analiza wieloawaryjna jest niezbędna w nowoczesnych systemach elektroenergetycznych, które poprawiają bezpieczeństwo systemu. Pomaga zidentyfikować i przeanalizować różne możliwe zdarzenia awaryjne, które mogą wystąpić podczas pracy systemu elektroenergetycznego. Przewidywanie przypadków wieloawaryjnych (N-2) jest bardzo ważnym zadaniem, ponieważ większość takich wymuszonych wielokrotnych przestojów może w krótkim czasie spowodować poważne problemy, takie jak poważne naruszenia ograniczeń operacyjnych, kaskadowe awarie i przerwy w dostawie prądu systemu. Identyfikacja tych licznych przestojów pomoże w planowaniu z wyprzedzeniem i zmniejszeniu wpływu tych zagrożeń. W artykule przedstawiono algorytm analizy systemu elektroenergetycznego przy wystąpieniu analizy wielowarstwowej z wykorzystaniem metody szybkiego oddzielonego przepływu obciążenia. Zaproponowany algorytm został zastosowany w systemie testowym magistrali IEEE-30 w różnych scenariuszach wielokrotnych awarii, w tym w najcięższym przypadku reprezentowanym przez oddzielenie szyn zbiorczych. Wyniki pokazują skuteczność zaproponowanego algorytmu w zakresie analizy i monitorowania napięcia magistrali, przepływu linii i całkowitych strat w systemie. Wszystkie programy zostały napisane w środowisku MATLAB.
Wydawca
Czasopismo
Rocznik
Tom
Strony
201--206
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
- University of Technology, Iraq, Baghdad
autor
- University of Technology, Iraq, Baghdad
Bibliografia
- [1] Chong Suk Song, Chang Hyun Park , Minhan Yoon and Gilsoo Jang ,"Implementation of PTDFs and LODFs for power system security," Journal of International Council on Electrical Engineering ,vol. 1,no.1,pp. 49-53,2011.
- [2] Vaibhav Donde , Vane" ssa López , Bernard Lesieutre , Ali Pinar, Chao Yang and Juan Meza, " Severe multiple contingency screening in electric power systems," IEEE Transactions on Power Systems , vol. 23, no. 2,pp. 406- 417,2008 .
- [3] Chaudhary, Raju B., and Niraj H. Patel, "Power system disturbances and sensitivity analysis methods as a part of contingency analysis," Journal of Emerging Technologies , vol.5,no.7, 2018.
- [4] Sekhar, Pudi and Sanjeeb Mohanty, "Power system contingency ranking using Newton Raphson load flow method," in 2013 Annual IEEE India Conference (INDICON),2013: IEEE,pp.1-4.
- [5] Rasool, Ali Abdulqadir, Najimaldin M. Abbas, and Kamal Sheikhyounis , "Contingency Analysis and Ranking of Kurdistan Region Power System Using Voltage Performance Index," UKH Journal of Science and Engineering ,vol.5,no.1,pp. 73-79, 2021.
- [6] Roy, Amit Kumar, and Sanjay Kumar Jain, "Improved transmission line contingency analysis in power system using fast decoupled load flow,." International Journal of Advances in Engineering & Technology ,vol.6 ,no.5 , pp.2159 ,2013.
- [7] Mohamed, Salah Eldeen Gasim, Abdelaziz Yousif Mohamed, and Yousif Hassan Abdelrahim. "Power system contingency analysis to detect network weaknesses," Zaytoonah University International Engineering Conference on Design and Innovation in Infrastructure, Amman, Jordan, pp. I3-4 Jun. 2012.
- [8] Abdulsada, Mohammed Abdulla, and Firas M. Tuaimah,"Power System Static Security Assessment for Iraqi Super High Voltage Grid," International Journal of Applied Engineering Research ,vol.12,no.19 ,pp.8354-8365,2017.
- [9] S. Rani Gongada, T. S. Rao, P. M. Rao and S. Salima, "Power system contingency ranking using fast decoupled load flow method," 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, India, 2016, pp. 4373-4376.
- [10] A. E. Airoboman, P. James, I. A. Araga, C. L. Wamdeo and I. K. Okakwu, "Contingency Analysis on the Nigerian Power Systems Network," 2019 IEEE PES/IAS PowerAfrica, Abuja, Nigeria, 2019, pp. 70-75.
- [11] Al-Anbarri, Kassim A. "An approach for contingency ranking analysis of electrical power system." IOP Conference Series: Materials Science and Engineering. Vol. 928. No. 2. IOP Publishing, 2020.
- [12] Venkatesan, Mithra, and Bhuvaneshwari Jolad. "Artificial neural network based contingency ranking." Computer Networks and Information Technologies: Second International Conference on Advances in Communication, Network, and Computing, CNC 2011, Bangalore, India, March 10-11, 2011. Proceedings 2. Springer Berlin Heidelberg, 2011
- [13] Khazaei, Mohammad, and Shahram Jadid. "Contingency ranking
- [14] Swarup, K. Shanti, and G. Sudhakar. "Neural network approach to contingency screening and ranking in power systems." Neurocomputing 70.1-3 (2006): 105-118.
- [15] Kubba, Hassan Abdullah, and Yasser Falah Hassan. "A Real-Time Fuzzy Load Flow and Contingency Analysis Based on Gaussian Distribution System." Journal of Engineering 21.8 (2015): 55-70.
- [16] Rajasekaran, S., and S. Sathiyamoorthy. "Fuzzy based intelligent monitoring of critical lines in the restructured power market." Circuits and Systems 7.9 (2016): 2196-2206.
- [17] Zain, Mohammed Osman Hassan Mohammed, and Israa Salih Hamad Alajab. "Sudan National Grid Contingency Ranking Through Fuzzy Logic Approach."
- [18] Baghaee, H. R., and M. Abedi. "Calculation of weighting factors of static security indices used in contingency ranking of power systems based on fuzzy logic and analytical hierarchy process." International Journal of Electrical Power & Energy Systems 33.4 (2011): 855-860.
- [19] HK, Nagendra Prasad, B. Kantharaj, and K. M. Kavitha. "Contingency analysis of a power system by using Fuzzy approach," International Journal of Engineering Research ,vol.3, no.6, 2014.
- [20] Saeed, W. A. F. A. A., and L. A. I. T. H. Tawfeeq, "Ultimate Loadability Improvement Based on Contingency Ranking and Line Voltage Stability Index Using Genetic Algorithm," International Journal of Electrical and Electronics Engineering Research (IJEEER),vol.7,no.3,pp.27-38,2017.
- [21] V Anju Raj, Jino M Pattery,and Surumi Hassainar," High Performance Computing for Contingency Analysis of Power Systems," International Journal of Engineering Research & Technology,vol.2,no.,9, 2013.
- [22] Ernest F. Dela Cruz, Alex N. Mabalot, Raymond C. Marzo Michael C. Pacis and John Heinrich S. Tolentino. "Algorithm development for power system contingency screening and ranking using voltage-reactive power performance index," 2016 IEEE Region 10 Conference (TENCON). IEEE, 2016.
- [23] O. Alsac and B. Stott, "Optimal Load Flow with Steady-State Security," in IEEE Transactions on Power Apparatus and Systems, vol. PAS-93, no. 3, pp. 745-751, May 1974.
- [24] Lee, K. Y., Y. M. Park, and J. L. Ortiz. "A united approach to optimal real and reactive power dispatch." IEEE Transactions on power Apparatus and systems 5 (1985): 1147-1153.using neural networks by radial basis function method," 2008 IEEE/PES Transmission and Distribution Conference and Exposition, IEEE, 2008.
- [25] Essilfie, Joseph Eminzang, Josef Tlusty, and Pavel Santarius. "Using SVC to improve voltage stability of the Ghana power network." Przegląd Elektrotechniczny 89.5 (2013): 47-53.5
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cb97f8eb-a6d8-40e0-a9eb-2d98302c278b
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