A Smart Under-Frequency Load Shedding Scheme based on Takagi-Sugeno Fuzzy Inference System and Flexible Load Priority

Laghari, Javed Ahmed and Almani, Suhail Ahmed and Kumar, Jagdesh and Mokhlis, Hazlie and Bakar, Ab Halim Abu (2018) A Smart Under-Frequency Load Shedding Scheme based on Takagi-Sugeno Fuzzy Inference System and Flexible Load Priority. International Journal of Advanced Computer Science and Applications, 9 (3). pp. 125-131. ISSN 2158-107X

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Official URL: https://doi.org/10.14569/IJACSA.2018.090319

Abstract

This paper proposes a new smart under frequency load shedding (UFLS) scheme, based on Takagi-Sugeno (TS) fuzzy inference system and flexible load priority. The proposed scheme consists of two parts. First part consists of fuzzy load shed amount estimation module (FLSAEM) which uses TS-fuzzy to estimate the amount of load shed and sends its value to accurate load shedding module (ALSM) to perform accurate load shedding using flexible load priority. The performance of the proposed scheme is tested for intentional islanding case and increment of sudden load in the system. Moreover, the response of the proposed scheme is compared with adaptive UFLS scheme to highlight its advantages. The simulation results show that the proposed UFLS scheme provides the accurate load shedding due to advantage of flexible priority whereas adaptive UFLS scheme due to fixed load priority does not succeed to achieve accurate load shedding.

Item Type: Article
Uncontrolled Keywords: Distributed generation (DG); flexible load priority; fuzzy load shed amount estimation module (FLSAEM), islanded distribution network; under-frequency load shedding (UFLS)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 27 Jun 2019 07:28
Last Modified: 27 Jun 2019 07:28
URI: http://eprints.um.edu.my/id/eprint/21566

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