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An enhanced power swing and symmetrical fault discrimination logic for integrated power network
Author(s) -
Andanapalli Kumarraja,
Biswal Monalisa
Publication year - 2020
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.12416
Subject(s) - tripping , swing , relay , fault (geology) , protective relay , electric power system , engineering , task (project management) , computer science , power (physics) , control theory (sociology) , electrical engineering , circuit breaker , artificial intelligence , mechanical engineering , physics , quantum mechanics , seismology , geology , systems engineering , control (management)
Summary To sustain reliable and secured power system operation, distance relay designs with swing blocking/tripping logic. In order to obviate this event, relay is implanted with power swing blocking function. In order to accomplish this task, detection of swing phenomenon and its discrimination from fault event is essential. Under any dependable situation, the relay refuses to act in a normal way. Depending on the severity of the swing phenomenon, the distance relay releases the tripping/blocking command. Any unintended operation of distance relay during such a critical condition can affect the power system stability as well as security. An unstable and unsecured system can initiate cascaded events. By considering the possible variations in the system and fault condition, presence of series compensation and dependable situations, a secure and adaptive fault‐swing discrimination logic is developed. The presence of negative and zero sequence components can reveal the occurrence of an unsymmetrical fault. So, this paper mainly focuses on the symmetrical fault detection task. The response of the method is verified for the Western System Coordinating Council three machine nine bus system, IEEE 39‐bus test system, and Indian Eastern Regional Grid network, simulated using EMTDC/PSCAD software. Comparative assessment reports with the existing methods are also provided.

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