Muhammad, Munir Azam and Mokhlis, Hazlie and Naidu, Kanendra and Franco, John Fredy and Illias, Hazlee Azil and Wang, Li (2018) Integrated database approach in multi-objective network reconfiguration for distribution system using discrete optimisation techniques. IET Generation, Transmission & Distribution, 12 (4). pp. 976-986. ISSN 1751-8687, DOI https://doi.org/10.1049/iet-gtd.2017.1134.
Full text not available from this repository.Abstract
Reconfiguring the link between buses is a crucial task to enhance the distribution system performance. Reconfiguration is a complex combinatorial process due to numerous feasible solutions. Therefore, to consistently find global optimum solutions within a short span of time is a challenging task. One of the factors that cause time consumption in finding optimal network configurations is the elimination of non-radiality network solutions during the optimisation process. To address this issue, this work proposes to store pre-determined network radiality solutions in a database. These sets of solutions are used in the network reconfiguration optimisation by a discrete evolutionary programming and a discrete evolutionary particle swarm optimisation techniques. These optimisation methods are based on a multi-objective problem which minimises power loss, voltage deviation, and a number of switching actions. Moreover, the quality of the solutions is measured in terms of computational time and consistency. To demonstrate the efficiency of the proposed technique, a comparative assessment is carried out on 33-bus and 118-bus distribution systems. It is found that the proposed technique outperforms other existing methods in terms of quality of the solutions.
Item Type: | Article |
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Funders: | SATU Joint Research Scheme, University of Malaya (grant code: ST020-2017) |
Uncontrolled Keywords: | Comparative assessment; Discrete optimisation; Distribution systems; Global optimum solutions; Multi-objective problem; Network re-configuration; Optimal network configuration; Particle swarm optimisation |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 09 May 2019 07:38 |
Last Modified: | 09 May 2019 07:38 |
URI: | http://eprints.um.edu.my/id/eprint/21202 |
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