Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm

Aman, M.M. and Jasmon, G.B. and Mokhlis, Hazlie and Bakar, Ab Halim Abu (2016) Optimum tie switches allocation and DG placement based on maximisation of system loadability using discrete artificial bee colony algorithm. IET Generation, Transmission & Distribution, 10 (10). pp. 2277-2284. ISSN 1751-8687, DOI https://doi.org/10.1049/iet-gtd.2015.0303.

Full text not available from this repository.
Official URL: https://doi.org/10.1049/iet-gtd.2015.0303

Abstract

Due to an exponential increase in load demand and lack of capital resources to improve the existing transmission line infrastructure, power utilities are focusing on methods to increase the efficiency and loadability of existing infrastructure. This study presents a new approach for simultaneous optimum distributed generation (DG) placement and optimum tie-switch allocation based on maximisation of system loadability using discrete artificial bee colony algorithm. The proposed algorithm is tested on 16-Bus, 33-Bus and 69-Bus radial distribution test system. The obtained results show that with simultaneous optimum DG placement and optimum tie-switch allocation, better results are achieved rather than solving two problems independently. Further it was also found that the proposed method has improved the efficiency of the system in terms of maximisation of system loadability, reduction in power system losses, improving the kVA margin to maximum loadability and voltage quality improvement.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Power semiconductor devices; Optimisation techniques; Power supply quality and harmonics; Power transmission lines and cables; Distributed power generation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 14 Nov 2017 08:44
Last Modified: 16 Jul 2019 08:59
URI: http://eprints.um.edu.my/id/eprint/18269

Actions (login required)

View Item View Item