Capacitor Siting and Sizing using Cost Minimization & Monty Carlo Simulations for RDS
Roma Raina1, J. Mary Anita2
1Dr. Roma Raina, Professor in Manipal Acdemy of Hgher Education, Dubai.
2J. Mary Anita, Adjunct Faculty in Curtain University Dubai Campus.
Manuscript received on 2 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 2482-2489 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4702098319/2019©BEIESP | DOI: 10.35940/ijrte.C4702.098319
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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: Capacitors are widely used in distribution networks for energy loss reduction, reactive power compensation, voltage regulation, and for system capacity release. However, it’s important that the system is designed initially, and capacitors are applied in correct magnitude and at right node to achieve best results. The most important task for distribution engineer is to efficiently simulate the system at design stage and later apply optimum capacitance injection. The work presented in this paper proposes a cost minimization algorithm using a unique mathematical model along with Monty carlo simulation to choose optimal value of capacitors, both fixed and switching based on total minimum cost algorithm.
Keywords: RDS (Radial Distribution System), Branch Voltage (V), Stability Index (SI), Load flow, Radial Power Distribution (RDS), Power Loss Index (PLI), Candidate Node.
Scope of the Article: Bio-Science and Bio-Technology