Economic and emission load dispatch solution via artificial bee colony algorithm

Abdullah, Mohd Noor and Ismail, Mohd Asyraf and Azmi, Azralmukmin and Mohammad Radzi, Hanis and Jamian, Jasrul Jamani (2017) Economic and emission load dispatch solution via artificial bee colony algorithm. Advanced Science Letters, 23 (11). pp. 11158-11161. ISSN 1936-7317

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The Economic Load Dispatch (ELD) is considered to minimize the only fuel cost in power system planning and operation. Due to environmental issues, the emission amount released by thermal power generation should be considered in minimizing the total cost generation as well. This make the power dispatch problem become multi-objective problem that called Economic and Emission Load Dispatch (EELD). This paper investigates the performances of Artificial Bee colony (ABC) algorithm for determining optimal solution for EELD problem. In this paper, the EELD problem is formulated as a single objective problem by taking minimization of total cost and emission level as separated objective. The cost characteristic of thermal generator considered the effect of opening and closing of the valve for practical application. The ABC algorithm has been tested on standard test systems which is 10-generating unit test system in order to validate the effectiveness of proposed ABC algorithm. The results obtained have been compared with reported result by other methods in literature. From the result, it found that ABC algorithm is better than other methods for minimizing fuel cost of thermal power generation and obtained comparative results in reducing the emission level.

Item Type: Article
Uncontrolled Keywords: Artificial Bee Colony Algorithm; Economic and Emission Load Dispatch; Optimization method
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001-1841 Production of electric energy or power. Powerplants. Central stations
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Miss Nur Rasyidah Rosli
Date Deposited: 23 Nov 2021 08:57
Last Modified: 23 Nov 2021 08:57

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