Determining Optimal Size and Placement of Renewable DG Considering Variation of Load
Kumari Sandhya Rani1, Surajit Sannigrahi2, Parimal Acharjee3, Aashish Kumar Bohre4
1Kumari Sandhya Rani, Department of Electrical Engineering, NIT, Durgapur (West Bengal), India.
2Surajit Sannigrahi, Department of Electrical Engineering, NIT, Durgapur (West Bengal), India.
3Parimal Acharjee, Department of Electrical Engineering, NIT, Durgapur (West Bengal), India.
4Aashish Kumar Bohre, Department of Electrical Engineering, NIT, Durgapur (West Bengal), India.
Manuscript received on 04 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 05 September 2019 | PP: 310-315 | Volume-8 Issue-2S7 July 2019 | Retrieval Number: B11170782S719/2019©BEIESP | DOI: 10.35940/ijrte.B1117.0782S719
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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: An advance algorithm to decide optimal size and place of renewable DG by applying adaptive particle swarm optimization (A-PSO) technique is reported in this work. A multiobjective function has been proposed to improve voltage profile, maximize economic benefit and reduction in active power losses. This work includes renewable energy sources based distributed generation (DG) technique like solar and biomass DGs. The time variations characteristics for solar DG and load have been considered in the system. Due to the problem of easily get trapped into local optima, particle Swarm optimization (PSO) may not be able to solve complex power system problems. Hence, APSO with variable weight function has been used in this work. The implementation of proposed technique has been presented for practical 94-bus portuguese radial distribution system. Simultaneous placement of both renewable DGs provides maximum benefits. The comparison between proposed and existing techniques have been presented which confirms that the suggested technique gives the superior result.
Keywords: Optimal Placement and Size of Dgs, Adaptive Particle Swarm Optimization (APSO), Renewable Source DG, Biomass, PV-Solar.
Scope of the Article: Swarm Intelligence