Optimization for Distributed Generation Planning in Radial Distribution Network using MVMO-SH

N., Md. Saad and Muhamad Zahim, Sujod and Mohd Ikhwan, Muhammad Ridzuan and M. F., Abas (2019) Optimization for Distributed Generation Planning in Radial Distribution Network using MVMO-SH. In: IEEE 10th Control and System Graduate Research Colloquium (ICSGRC 2019) , 2-3 August 2019 , Shah Alam, Malaysia, Malaysia. pp. 115-120.. ISBN 978-1-7281-0755-4

[img]
Preview
Pdf
Optimization for Distributed Generation Planning in Radial Distribution Network using MVMO1.pdf

Download (92kB) | Preview

Abstract

The MVMO-SH method for optimization of distributed generation (DG) planning in the radial distribution network is proposed. A backward – forward sweep power flow method (BFSPF) is presented to calculate the power losses of the branches and determine the voltage magnitudes of each bus. The optimum size and location of DG are determined based on the power loss minimization. The corresponding APL index is computed for each bus to evaluate the size of DG at different location in the network. The DG location is chosen based on the minimum value of the corresponding APL index. For validation, the MVMO-SH are compared with the PSO and GA approaches. The optimization of DG using MVMO-SH is tested on the IEEE 33 – bus and IEEE 69 – bus radial distribution networks (RDN) and the results are perceived very competitive with the results obtained by PSO and GA optimization method.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: hybrid variant-mean-variance mapping optimization (MVMO-SH), distributed generation, backward-forward sweep power flow (BFSPF), power loss minimization, active power loss (APL) index, radial distribution network
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Dr. Mohammad Fadhil Abas
Date Deposited: 05 Oct 2020 07:04
Last Modified: 05 Oct 2020 07:04
URI: http://umpir.ump.edu.my/id/eprint/29381
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item