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A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique

A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique

Subhajit Roy, Kuntal Bhattacharjee, Aniruddha Bhattacharya
Copyright: © 2017 |Volume: 6 |Issue: 1 |Pages: 20
ISSN: 2160-9500|EISSN: 2160-9543|EISBN13: 9781522515210|DOI: 10.4018/IJEOE.2017010104
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MLA

Roy, Subhajit, et al. "A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique." IJEOE vol.6, no.1 2017: pp.66-85. http://doi.org/10.4018/IJEOE.2017010104

APA

Roy, S., Bhattacharjee, K., & Bhattacharya, A. (2017). A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique. International Journal of Energy Optimization and Engineering (IJEOE), 6(1), 66-85. http://doi.org/10.4018/IJEOE.2017010104

Chicago

Roy, Subhajit, Kuntal Bhattacharjee, and Aniruddha Bhattacharya. "A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique," International Journal of Energy Optimization and Engineering (IJEOE) 6, no.1: 66-85. http://doi.org/10.4018/IJEOE.2017010104

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Abstract

Economic load dispatch plays an important role of power system operation & control by using different soft techniques that have been used to solve convex and non-convex economic load dispatch (ELD) problems. This paper presents a new global optimization algorithm to the economic load dispatch problems for minimization of fuel cost of generations with different constraints such as ramp rate limits, valve-point loading and prohibited operating zones of large-scale thermal plants. Power transmission loss has also been considered in few cases. Group leader optimization algorithm (GLOA) is a relatively new optimization technique. Mathematical models of this algorithm demonstrate the efficiency, quality of solution and convergence speed of the method and successful application of the algorithm on ELD problems. Simulation results found that the proposed approach outperforms several other existing optimization techniques in terms quality of solution obtained and computational efficiency. Results also be confirmed the robustness of the proposed methodology.

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