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An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow: Interactive Power System Planning Tool

An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow: Interactive Power System Planning Tool

Belkacem Mahdad
Copyright: © 2018 |Pages: 36
ISBN13: 9781522539353|ISBN10: 1522539352|EISBN13: 9781522539360
DOI: 10.4018/978-1-5225-3935-3.ch006
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MLA

Mahdad, Belkacem. "An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow: Interactive Power System Planning Tool." Handbook of Research on Power and Energy System Optimization, edited by Pawan Kumar, et al., IGI Global, 2018, pp. 191-226. https://doi.org/10.4018/978-1-5225-3935-3.ch006

APA

Mahdad, B. (2018). An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow: Interactive Power System Planning Tool. In P. Kumar, S. Singh, I. Ali, & T. Ustun (Eds.), Handbook of Research on Power and Energy System Optimization (pp. 191-226). IGI Global. https://doi.org/10.4018/978-1-5225-3935-3.ch006

Chicago

Mahdad, Belkacem. "An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow: Interactive Power System Planning Tool." In Handbook of Research on Power and Energy System Optimization, edited by Pawan Kumar, et al., 191-226. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3935-3.ch006

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Abstract

In this chapter, an interactive tool using graphic user interface (GUI) environment-based MATLAB is proposed to solve practical optimal power system planning and control. The main particularity of the proposed tool is to assist student and researchers understanding the mechanism search of new metaheuristic methods. The proposed tool allows users to interact dynamically with the program. The users (students or experts) can set parameters related to a specified metaheuristic method to clearly observe the effect of choosing parameters on the solution quality. In this chapter, a new global optimization method named grey wolf optimizer (GWO) and pattern search algorithm (PS) have been successfully applied within the interactive tool to solve the optimal power flow problem. The robustness of the two proposed metaheuristic methods is validated on many standard power system tests. The proposed interactive optimal power flow tool is expected to be a useful support for students and experts specialized in power system planning and control.

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