Impact of Distributed Generation on Network Reconfiguration for Power Loss Minimization in Radial Distribution System by Hybrid Algorithm
Somashekar D.P1, Shekhappa G. Ankaliki2, Ananthapadmanabha T3, Ramya N.S4
1Somashekar D.P, Electrical & Electronics Engineering department, SDM Institute of Technology, Visvesvaraya Technological University, Ujire, D.K., India.
2Shekhappa G. Ankaliki, Electrical & Electronics Engineering department, SDMCET, Dharwad, India.
3Ananthapadmanabha T, Electrical and Electronics Engineering department, NIEIT, Mysuru, India.
4Ramya N.S, Electrical & Electronics Engineering department, Research Scholar, VTU, Ujire, India.
Manuscript received on 21 August 2019. | Revised Manuscript received on 27 August 2019. | Manuscript published on 30 September 2019. | PP: 8020-8025 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6419098319/2019©BEIESP | DOI: 10.35940/ijrte.C6419.098319
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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: Feeder reconfiguration is a planning to change the system configuration by altering the existing tie-line and sectionalizing switches status for minimizing the system losses. Hence, the network reconfiguration is essential in distribution system to minimizing system power losses. Reduction of power loss is much considerable role in power flow of distribution network in evaluating system performance. There are several methods have been proposed for reduction of system power losses and voltage improvement. This paper mainly employs feeder reconfiguration for power loss minimization and voltage improvement using opening and closing tie line and sectionalizing switches by hybrid binary particle swarm and cuckoo search algorithm. As a consequence in this operation, there is significant improvement of voltage profile, freeing up and power loss minimization. The system performance is evaluated and tested in 33 bus system, and simulation is carried out using Matlab simulation platform. For optimal switching strategy, the cuckoo search and hybrid particle swarm optimization algorithm are implemented and showed better improvement in voltage profile, minimization of real power loss and percentage of power loss reduction.
Keywords: Feeder Reconfiguration, Cuckoo Search Algorithm, DG, Power Loss Minimization, Particle Swarm Optimization, Voltage Profile Improvement.
Scope of the Article: Parallel and Distributed Algorithms