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The Application of the Linear Adaptive Genetic Algorithm to Optimal Power Flow Problem

  • Research Article - Electrical Engineering
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Abstract

This paper proposes a Linear Adaptive Genetic Algorithm (LAGA) for optimal power flow (OPF) problem. The proposed approach offers faster convergence than the standard genetic algorithm. In this study, LAGA is applied to the 6-bus system and the IEEE 14-bus power system. Shunt capacitance, transformer taps and generator voltages are used as control system variables to minimize the system power loss. The output of the systems under investigation is compared with the output of a classical nonlinear optimization routine to evaluate the impact of LAGA technique to OPF. Moreover, to validate the performance of LAGA approach, a demonstration and comparison with earlier published results is presented. Simulation results are found to be effective and promising.

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Authors and Affiliations

  1. Renewable Energy Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

    Abdullah M. Abusorrah

  2. Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia

    Abdullah M. Abusorrah

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  1. Abdullah M. Abusorrah
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Correspondence to Abdullah M. Abusorrah.

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Abusorrah, A.M. The Application of the Linear Adaptive Genetic Algorithm to Optimal Power Flow Problem. Arab J Sci Eng 39, 4901–4909 (2014). https://doi.org/10.1007/s13369-014-1164-x

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  • DOI: https://doi.org/10.1007/s13369-014-1164-x

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