Congestion Alleviation by Optimal Placing of Renewable Energy Generator in Power System Network using Stochastic Optimization Techniques
R.Ramaporselvi1, G.Geetha2, Mrunal Deshpande3, J.Shri Saranyaa4
1R.Ramaporselvi, Innovate Educational Institute, Tambaram, Chennai.
2Dr. G.Geetha, Jerusalem College of Engineering, Pallikaranai, Chennai.
3Dr. Mrunal Deshpande, SSN College of Engineering, Chennai.
4J.Shri Saranyaa, Research Assistant) SSN College of Engineering, Chennai.
Manuscript received on November 17, 2019. | Revised Manuscript received on 26 November, 2019. | Manuscript published on December 10, 2019. | PP: 3840-3844 | Volume-9 Issue-2, December 2019. | Retrieval Number: B7366129219/2019©BEIESP | DOI: 10.35940/ijitee.B7366.129219
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© 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 peculiarly narrates about the optimal location of the renewable electrical generator along with minimizing the cost of generation. The aim of optimal congestion management is achieved by the suitable placement of the renewable electrical generator through PSO and VEPSO optimization technique. The renewable energy source boasts to be a vital and cost-free source for generating energy in the deregulated electricity network. Renewable energy generator (REG) location is identified on the minimum losses of the system thereby reducing the cost of generation. The approach is simulated and the results demonstrate the optimal location of REG and cost of generation in the 6 bus test system, IEEE- 14- bus and IEEE- 30 bus system.
Keywords: Particle Swarm Optimization (PSO), Vector Evaluated Particle Swarm Optimization (VEPSO)
Scope of the Article: Design Optimization of Structures