ELIA ERWANI BINTI HASSAN, Mohamad Radzi Bin Mohamad Ridzuan and Hassan, Elia Erwani and Abdullah, Abdul Rahim (2017) A hybrid MEP and AIS Algorithm for energy dispatch in power system. International Journal of Simulation: Systems, Science and Technology, 17 (41). 19.1 - 19.5. ISSN 1473-8031
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Abstract
Power system optimization has become essential mechanism in order to provide smooth and sustainable load demand due to rising energy demand and inadequacy of energy required for quality and secured dispatch. A well-coordinated and optimized power system operation supports in sustaining Economic Dispatch (ED) among users of power networks. This necessitates for researches in developing new tools to overcome ED problems. Therefore, this paper introduces the new algorithm as an alternative method to provide the best solution in solving the single objective function of ED problems. Based on original Meta Heuristic Evolutionary Programming (Meta-EP) method with a consideration on cloning process as in Artificial Immune System (AIS) algorithm together thus identified as New Meta Heuristic Evolutionary Programming algorithm (NMEP). In order to verify the effectiveness of the proposed method the comprehensive analysis were done with other two familiar optimizations method named Meta-EP and AIS. The results with NMEP algorithm represent the most outstanding amongst the three within less computational time. Thus, the NMEP algorithm is the vital optimization mechanism particularly for single objective ED problem on standard IEEE 26 bus system.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Economic dispatch, Meta heuristic evolutionary programming, Artificial immune system. |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Norfaradilla Idayu Ab. Ghafar |
| Date Deposited: | 30 Dec 2025 06:41 |
| Last Modified: | 30 Dec 2025 06:41 |
| URI: | http://eprints.utem.edu.my/id/eprint/29360 |
| Statistic Details: | View Download Statistic |
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