10.1007/s40095-021-00438-5

A multi-objective approach for renewable distributed generator unit’s placement considering generation and load uncertainties

  • Kinjarapu Jayaram1,
  • Kollu Ravindra*1,
  • K. R. K. V. Prasad2,
  • K. V. S. Ramachandra Murthy2,
  1. Department of Electrical and Electronics Engineering, University College of Engineering Kakinada, J.N.T.U Kakinada, Kakinada, IN
  2. Department of Electrical and Electronics Engineering, Aditya Engineering College, Surampalem, IN

Published in Issue 2021-10-21

How to Cite

Jayaram, K., Ravindra, K., Prasad, K. R. K. V., & Murthy, K. V. S. R. (2021). A multi-objective approach for renewable distributed generator unit’s placement considering generation and load uncertainties. International Journal of Energy and Environmental Engineering, 13(3 (September 2022). https://doi.org/10.1007/s40095-021-00438-5
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Abstract

Abstract Penetration of Renewable distributed generation (RDG) units has increased in recent years due to increased environmental concerns and depleting fossil fuels. Deployment of RDG units will offer technical benefits such as loss minimization, bus voltage profile improvement, line loading reduction. Optimal allocation of RDG units is a challenging task as the generation is time-varying and uncertain in nature. In this work, optimal RDG allocation problem is formulated by considering time-varying and uncertain nature of generation and load demand using a Point estimate method (PEM)-based load flow with an objective to simultaneously minimize losses, improve voltage profile and reduce line loading. An efficient pareto front-based Multi-objective Backtracking search algorithm (PMBSA) is proposed in this work to solve optimal renewable DG placement problem. Results obtained with PEM are compared with those obtained with Monte Carlo simulation method. Efficacy of formulated approach proposed in this paper is verified on a practical 67-bus distribution system and IEEE-118 bus test system. Results show that PMBSA is superior to the standard NSGA-II algorithm in obtaining near optimal solution for optimal RDG allocation problem. It is verified that proposed approach ensures very less voltage limit violations of bus voltages.

Keywords

  • Pareto Multi-objective Backtracking Search Algorithm (PMBSA),
  • DG allocation,
  • NSGA-II,
  • PEM load flow,
  • Monte Carlo-based load flow

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