Sulaima, Mohamad Fani and Shamsudin, Nur Hazahsha and Jaafar, Hazriq Izzuan and Mohd Dahalan, Wardiah and Mokhlis, Hazlie (2014) A DNR and DG sizing simultaneously by using EPSO. In: 2014 Fifth International Conference on Intelligent Systems Modelling and Simulation, 27 Jan - 29 Jan 2014, Sheraton Hotel Langkawi Beach Resort, Langkawi, Malaysia.
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Abstract
Distribution network planning and operation require the identification of the best topological configuration that is able to fulfill the power demand with minimum power loss. This paper presents an efficient hybridization of both Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) methods which is called the Evolutionary Particle Swarm Optimization (EPSO). The proposed method is used to find the optimal network reconfiguration and optimal size of Distribution Generation (DG) simultaneously. The main objective of this paper is to gain the lowest result of real power losses in the distribution network while improve the computational time as well as satisfying other operating constraints. A comprehensive performance analysis is carried out on IEEE 33 bus distribution system. The proposed method is applied and its impact on the network reconfiguration for real power loss is investigated. The results are presented and compared with the strategy of separated DG sizing and network reconfiguration.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Evolutionary particle swarm optimization, Particle swarm optimization, Evolutionary programming, Distribution generation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering > Department of Industrial Power |
| Depositing User: | MOHAMAD FANI SULAIMA |
| Date Deposited: | 02 May 2014 02:57 |
| Last Modified: | 25 May 2023 12:53 |
| URI: | http://eprints.utem.edu.my/id/eprint/12299 |
| Statistic Details: | View Download Statistic |
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