Abstract
Power system security is one of the major parts of the electrical system. A power system should be robust enough to detect any kind of disturbance that can occur in the network and analyze its impact on the system. Disturbance in the power system network includes any kind of faults related to the generator, load, and transmission line. Due to the complex nature of the power system network, to protect the power system against any kind of outages, contingency analysis is used. In steady-state conditions, to evaluate the security of system contingency analysis solution is required. It includes the analysis of a system during outages or failure of equipment. Outages in a power system network can take place either due to maloperation of any internal component or due to natural calamities like lightning, tree fall, storm, and bad weather or it can also occur due to overloading of transmission lines, generators, etc. To effectively analyze the impact of individual contingencies on the power system network, performance indices or severity indices are used to rank the contingencies based on their severity. The performance index is the sum of the two indexes named as active power performance index and voltage performance index. In this paper, the researcher made a MATLAB program is utilized that screened on two standard benchmark test systems IEEE-5 and IEEE 15 bus system. The researcher used the fast decoupled load flow method for the load flow analysis of the system considering all possible existing line outages in the system. This contingency analysis will help the system engineer to evaluate the power system network’s operating condition when a line outage will occur and tell him what essential steps should be adopted to nullify the consequences of a particular line outage.
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References
Gusev S, Oboskalov V (2016) Recursion based contingency analysis of an electrical power system. In: 2016 international symposium on industrial electronics, INDEL 2016—proceedings, pp 1–4
Zhou DQ, Annakage UD (2010) Online monitoring of voltage stability margin using artificial neural network. IEEE Trans Power Syst 25(3):1566–1574
Dela Cruz EF, Mabalot AN, Marzo RC, Pacis MC, Tolentino JHS (2016) Algorithm development for power system contingency screening and ranking using voltage-reactive power performance index. In: 2016 IEEE region 10 conference (TENCON), Singapore, pp 2232–2235
Vykuka R, Nohacova L (2015) Sensitivity factors for contingency analysis. In: Proceedings of the 2015 16th international scientific conference on electric power engineering (EPE) 4, pp 551–554
Vykuka R, Nohác̆ová L (2014) Fast-decoupled method for contingency analysis. In: Proceedings of the 2014 15th international scientific conference on electric power engineering (EPE), Brno, pp 35–38
Dong F, Xu X, Zhang X (2014) Parallel contingency analysis solution based on OpenMP. In: 2014 North American power symposium NAPS 2014, pp 1–4
Ramanathan R, Tuck B (2015) Contingency analysis using node/breaker model for operation studies. In: 2015 IEEE power & energy society general meeting, Denver, CO, pp 1–5
Ramesh S et al (2013) Special reprocessing logic for contingency analysis with special protection systems. In: 2015 IEEE power & energy society general meeting, pp 1–4
Vykuka R, Nohacova L (2014) Fast-decoupled method for contingency analysis. In: Proceedings 2014 15th international scientific conference on electric power engineering EPE 2014, pp 35–38
Mishra VJ, Khardenvis MD (2012) Contingency analysis of power system. In: 2012 IEEE students’ conference on electrical, electronics and computer science: innovation for humanity, SCEECS, pp 1–4
Sahraei-Ardakani M, Li X, Balasubramanian P, Hedman KW, Abdi-Khorsand M (2016) Real-time contingency analysis with transmission switching on real power system data. IEEE Trans Power Syst 31(3):2501–2502
Elbarkouky MMG, Siraj NB, Fayek AR (2015) Fuzzy contingency determinator © a fuzzy arithmetic-based risk analysis tool for construction projects. In: Annual conference on North American fuzzy information processing society NAFIPS, September, pp 1–6
Schultis D-L, Ilo A, Schirmer C (2019) Overall performance evaluation of reactive power control strategies in low voltage grids with high prosumer share. Electr Power Syst Res 168:336–349
Shao Y, Huang S, Chen B, Xiao H, Jiang R, Qin FGF (2017) Performance evaluation indexes of distributed CCHP systems. Energy Procedia 142:2415–2422
Putri MDM, Afandi AN (2019) Performance index analysis (PIA) for N-1 contingency transmission in 150 kV electricity system. In: 2019 international conference on electrical, electronics and information engineering (ICEEIE), Denpasar, Bali, Indonesia, pp 1–5
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Tiwari, R., Gupta, A., Chatterji, S., Shrivastava, S. (2022). Contingency Analysis of Complex Power System Using Active Power and Voltage Performance Index. In: Dubey, H.M., Pandit, M., Srivastava, L., Panigrahi, B.K. (eds) Artificial Intelligence and Sustainable Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-1220-6_33
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DOI: https://doi.org/10.1007/978-981-16-1220-6_33
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