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Hybrid Bat Optimization Algorithm Applied to Optimal Reactive Power Dispatch Problems

International Journal of Electrical and Electronics Engineering
© 2022 by SSRG - IJEEE Journal
Volume 9 Issue 1
Year of Publication : 2022
Authors : S. Sakthivel Padaiyatchi, S. Jaya
10.14445/23488379/IJEEE-V9I1P101
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How to Cite?

S. Sakthivel Padaiyatchi, S. Jaya, "Hybrid Bat Optimization Algorithm Applied to Optimal Reactive Power Dispatch Problems," SSRG International Journal of Electrical and Electronics Engineering, vol. 9,  no. 1, pp. 1-5, 2022. Crossref, https://doi.org/10.14445/23488379/IJEEE-V9I1P101

Abstract:

Security and economics of a power system are optimized by the control of reactive power dispatch from synchronous generators and var sources like SVCs installed in the system. Optimal reactive power dispatch (ORPD) is achieved by properly setting the value of control parameters. Generator bus voltages, transformer tap positions and SVC settings are the control parameters for reactive power optimization. Generally, artificial intelligence techniques are used for optimizing the values of control variables. In this work, a hybrid bat optimization algorithm based on particle swarm algorithm, namely HPSOBA, is proposed for reactive power optimization. This algorithm mimics the echolocation behavior of microbats. Microbats emit a kind of SONAR and wait for the echo that is bounced from the prey. The bats analyse the echo for understanding the location and size of the prey in their path. This behavior is copied in the new algorithm. The strength of this algorithm is tested by comparing its performance with that of the other bio-inspired algorithms like Biogeography Based Optimization (BBO). The test systems taken are the standard IEEE-30 bus and IEEE-57 bus systems. The results obtained are much encouraging.

Keywords:

Optimal reactive power dispatch, Particle swarm optimization, Bat optimization algorithm, Loss minimization, VD minimization.

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