Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm

Gubbala Venkata Naga Lakshmi, Askani Jaya Laxmi, Venkataramana Veeramsetty and Surender Reddy Salkuti ()
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Gubbala Venkata Naga Lakshmi: Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad 500007, India
Askani Jaya Laxmi: Department of Electrical and Electronics Engineering, JNTU Hyderabad, Hyderabad 500085, India
Venkataramana Veeramsetty: Center for AI and Deep Learning, Department of Electrical and Electronics Engineering, SR University, Warangal 506371, India
Surender Reddy Salkuti: Department of Railroad and Electrical Engineering, Woosong University, Daejeon 34606, Republic of Korea

Clean Technol., 2022, vol. 4, issue 4, 1-13

Abstract: The optimal placement of distributed generation (DG) is a critical task for distribution companies in order to keep the distribution network running smoothly. The optimal placement of DG units is an optimization problem. In this paper, minimization of the voltage deviation from flat voltage is considered as an objective function. The self-adaptive Lévy flight-based Jaya algorithm is used as an optimization technique to determine the best location and size of distributed generation units. In the MATLAB environment, the proposed algorithm was implemented on IEEE 15 and PG and E 69 bus distribution systems. According to the simulation results, distribution networks can supply more quality power to customers by minimizing the voltage deviation from the flat voltage profile if the DG units are properly placed and sized.

Keywords: distributed generation; optimal placement; self-adaptive Lévy flight Jaya algorithm; power quality; voltage deviation (search for similar items in EconPapers)
JEL-codes: Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2022
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