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Research Article |

Optimal Power Flow for Distribution System using Gradient-Based Optimizer

Author(s): Sanket Raval* and Thangadurai Natarajan

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 3

Publisher : FOREX Publication

Published : 10 August 2023

e-ISSN : 2347-470X

Page(s) : 711-719

DOI: https://doi.org/10.37391/ijeer.110311

Abstract

In the distribution network, DG penetration increases prominently, and has altered the nature of the distribution network into an active and passive network. DISCOMs/DSOs are incorporating all kinds of DGs, including non-renewables and renewables now a day. If DGs are planned and controlled adequately, then it improves voltage deviation, reduces active power loss, and leads to the economic operation of the active distribution network. Efficient operation of the distribution network can be achieved by solving optimal power flow. In this work, optimal power flow (OPF) for a modified IEEE-69 bus distribution network with DGs is formulated and solved using Gradient Based Optimizer (GBO) in MATLAB 2021a. OPF is solved with objectives to minimize fuel cost, voltage profile improvement, and active power losses. The performance of GBO is compared with other state of art algorithms (PSO, ABC, GWO, and JANA). Performance analysis proves the efficacy and capability to solve real-world problems of GBO over other state of art algorithms.

Keywords: Active power loss, Distribution network, Gradient-based optimizer, Optimal power flow, Fuel cost, Voltage deviation.




Sanket Raval*, Research Scholar, Department of Electrical Engineering, Faculty of Engineering and Technology, Sankalchand Patel University, Visnagar, Gujarat, India; Email: scraval93@gmail.com

Thangadurai Natarajan, Associate Director and Professor, Centre for Research and Innovation, Sankalchand Patel University, Visnagar, Gujarat, India

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Sanket Raval and Thangadurai Natarajan (2023), Optimal Power Flow for Distribution System using Gradient-Based Optimizer. IJEER 11(3), 711-719. DOI: 10.37391/ijeer.110311.