Comparative Analysis of Nature Inspired Algorithms Applied to Reactive Power Planning Studies

R  Ambika; R  Rajeswari  and A  Nivedita

doi:10.17485/ijst/2015/v8i5/60764

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Comparative Analysis of Nature Inspired Algorithms Applied to Reactive Power Planning Studies

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i5/60764

Year: 2015, Volume: 8, Issue: 5, Pages: 445-453

Original Article

Comparative Analysis of Nature Inspired Algorithms Applied to Reactive Power Planning Studies

R. Ambika^1*, R. Rajeswari² and A. Nivedita³

¹Department of Electrical Engineering Sri Krishna College of Technology, Coimbatore, India; [email protected]

²Department of Electrical Engineering, Government College of Technology, Coimbatore, India; [email protected]

³Sri Krishna College of Technology, Coimbatore, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Reactive power optimization is one of the efficient ways of improving power system reliability and efficiency which is beneficial in power planning studies. ORPD problems are best solved using different algorithms to achieve optimization. This paper deals a comparative study of three algorithms PSO, GSA and hybrid PSOGSA algorithm. The ORPD multiobjective problem is tested over standard IEEE system. The test is performed under two conditions with and without penalty function added to the objective function. And all results obtained are summarized and best optimal solution is obtained from the hybrid PSOGSA algorithm.

Keywords: ORPD (Optimal Reactive Power Dispatch) Problem, GSA (Gravitational Search algorithm), PSO (Particle swarm Optimization), Hybrid PSOGSA