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dc.contributor.authorSai Nandini, P.-
dc.contributor.authorKrishan, Ram-
dc.contributor.authorPullaguram, Deepak-
dc.date.accessioned2025-12-17T11:34:53Z-
dc.date.available2025-12-17T11:34:53Z-
dc.date.issued2022-
dc.identifier.citation10.1109/PIICON56320.2022.10045158en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3653-
dc.descriptionNITWen_US
dc.description.abstract—The rapid expansion of the power system network, increasing power demand and integration of renewable energy resources have made the power system vulnerable to outages. A power system should be in a secure state under normal and contingency conditions. An uncontrollable and cascading outage may lead to a partial or complete blackout. To avoid these catastrophic events, security assessment of N-1 and N-2 contin gencies is very essential. The static security assessment (SSA) is computationally burdensome and requires a fast calculation methodology or strategies to assess the critical contingencies and appropriate remedial actions. This paper proposes a conjugate gradient method (CGM) based strategy for efficient contingency screening and ranking. The proposed method has been tested on standard IEEE-9, 118 bus system and 246 bus Northern Regional Power Grid (NRPG) network of Power Grid Corporation of India Limited (PGCIL). Results are compared with the various linear equation (LE) solver-based methods to show the computational benefits in the N-1 and N-2 SSA of the large power system.en_US
dc.language.isoenen_US
dc.publisher2022 IEEE 10th Power India International Conference, PIICON 2022en_US
dc.subjectBlackoutsen_US
dc.subjectConjugate Gradient Methoden_US
dc.titleStatic Security Assessment of Large Power Systems Under Contingency Casesen_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

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