Hybrid Bacteria Foraging Particle Swarm Optimization based Optimal Reactive Power Dispatch for the Alleviation of Voltage Deviations
P. Lokender Reddy1, G.Yesuratnam2
1P.Lokender Reddy, Assistant Professor, Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana, India.
2G.Yesuratnam, Professor, Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana, India.
Manuscript received on February 02, 2019. | Revised Manuscript received on February 14, 2019. | Manuscript published on December 30, 2019. | PP: 5350-5354 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B5145129219/2019©BEIESP | DOI: 10.35940/ijeat.B5145.129219
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents a hybrid algorithm for optimal reactive power dispatch by combining two popular evolutionary computation algorithms; Bacterial Foraging algorithm and Particle Swarm Optimization. The Hybrid algorithm combines velocity and position updating strategy of Particle swarm optimization algorithm and reproduction and elimination dispersal of Bacterial foraging algorithm. The proposed algorithm is applied to solve optimal power flow with the objective of minimization of Sum of squares of voltage deviations of all load buses. The proposed approach has been evaluated on a standard IEEE 30 bus test system and 24 bus EHV southern region equivalent Indian power system. The results obtained by the proposed Hybrid algorithm are compared with their basic counter parts and superiority of the proposed hybrid algorithm is demonstrated.
Keywords: Optimal Reactive Power Dispatch, Voltage deviations, Bacterial Foraging Algorithm, Particle Swarm Optimization, Hybrid algorithms.