Distributed Expansion Planning By Using Particle Swarm Optimization Method
Poshitha B1, Surekha Manoj2
1Poshitha B, E&EE department, Adichunchanagiri Institute of Technology, Chikkamagaluru, India .
2Dr. Surekha Manoj, E&EE department, Vidya Vikas institute of Engineering & Technology, Mysuru, India.
Manuscript received on 23 August 2019. | Revised Manuscript received on 03 September 2019. | Manuscript published on 30 September 2019. | PP: 510-514 | Volume-8 Issue-11, September 2019. | Retrieval Number: K14220981119/2019©BEIESP | DOI: 10.35940/ijitee.K1422.0981119
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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 exhibits a methodology for distribution expansion planning utilizing multi objective Particle Swarm Optimization (PSO). The Optimization objectives are power losses, Investment & Operating costs, Improve voltage profile. The PSO method has been verified by 30 real time nodal system. While planning the expansion and operation of distribution network, utilities have a complex combination of technical constraints, which must be considered together with the investment decisions on the behavior of the distribution system along the planning horizon.
Keywords: Distributed network Expansion planning, PSO.
Scope of the Article: