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Contingency Analysis of Complex Power System Using Active Power and Voltage Performance Index

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Artificial Intelligence and Sustainable Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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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Correspondence to Raghvendra Tiwari .

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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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