Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects

Khoa, T.H. and Vasant, P.M. and Singh, M.S.B. and Dieu, V.N. (2014) Swarm based mean-variance mapping optimization (MVMOs) for economic dispatch problem with valve-Point effects. In: UNSPECIFIED.

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Abstract

Mean-variance mapping optimization (MVMO) is a novel population-based meta-heuristic technique which has been successfully applied for different power system optimization problems. The special feature of MVMO is the mapping function applied for the mutation based on the mean and variance of n-best population. Recently, the modified version of MVMO has been developed to get more powerful, named as Swarm based Mean-variance mapping optimization (MVMOs). This paper proposes MVMOs as a new approach for solving the economic dispatch problem considering valve-point effects. To demonstrate the performance of the proposed method, the proposed MVMOs has been tested on two systems including 3 and 13 thermal generating units with valve-point effects and the obtained results from MVMOs have been compared to those from other existing methods in the literature. It is indicated that the proposed MVMOs is efficient for solving the economic dispatch with valve-point effects. © 2014 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 4; Conference of 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014 ; Conference Date: 9 December 2014 Through 12 December 2014; Conference Code:113660
Uncontrolled Keywords: Heuristic algorithms; Heuristic methods; Mapping; Optimization; Scheduling, Economic Dispatch; Economic dispatch problems; Mapping optimization; Meta-heuristic techniques; Metaheuristic; Power system optimization; Thermal generating units; Valve point effects, Electric load dispatching
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:16
Last Modified: 09 Nov 2023 16:16
URI: https://khub.utp.edu.my/scholars/id/eprint/4498

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