Page 16 - IJEEE-2023-Vol19-ISSUE-1

Received: 04 September 2022 Revised: 19 October 2022 Accepted: 19 October 2022
DOI: 10.37917/ijeee.19.1.2
Vol. 19| Issue 1| June 2023

Ð Open Access

Iraqi Journal for Electrical and Electronic Engineering

Original Article

Distribution Networks Reconfiguration for Power Loss
Reduction and Voltage Profile Improvement Using

Hybrid TLBO-BH Algorithm

Arsalan Hadaeghi*1, Ahmadreza Abdollahi Chirani2
1Department of Power & Control Engineering, School of Electrical and Computer Engineering,Shiraz University, Shiraz, Iran

2Department of Electrical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran

Correspondence
* Arsalan Hadaeghi
Department of Power & Control Engineering,

Shiraz University, Shiraz, Iran
Email: Hadaeghi.a@shirazu.ac.ir (Arsalan Hadaeghi),
Bahaminabdollahi@gmail.com (Ahmadreza Abdollahi Chirani)

Abstract
In this paper, a new method based on the combination of the Teaching-learning-based-optimization (TLBO) and Black-hole
(BH) algorithm has been proposed for the reconfiguration of distribution networks in order to reduce active power losses and
improve voltage profile in the presence of distributed generation sources. The proposed method is applied to the IEEE 33-bus
radial distribution system. The results show that the proposed method can be a very promising potential method for solving the
reconfiguration problem in distribution systems and has a significant effect on loss reduction and voltage profile improvement.
KEYWORDS: Black-Hole Algorithm, Distribution Networks, Power Loss Reduction, Reconfiguration, Teaching-
Learning-Based Optimization, Voltage Profile Improvement

I. INTRODUCTION problem and to improve the search process. Reference [4] is
presented the Binary Group Search Optimization algorithm
The distribution system is the final step in the transmission of (BGSO) with fundamental modifications to be fit for
power to individual consumers. To continuous and reliable reconfiguration and all binary form problems. All formulation
power supply to consumers, distribution networks sometimes of conventional GSO has been modified for accessing a novel
have a ring topology, however, due to the problem of using ring powerful binary searching algorithm. Moreover, the forward–
topology, these networks used radially [1]. Distribution backward sweep, load flow is used due to its accuracy.
networks reconfiguration is the process of opening a number of Reference [5] is proposed a Meta-heuristics Fireworks
switches and closing the same number of switches to minimize Algorithm (FWA) to optimize the radial distribution network
losses while maintaining the radial topology and constraints of while satisfying the operating constraints. The radial nature of
the distribution system. Although loss reduction is the main goal the system is maintained by generating proper parent node–child
in distribution network reconfiguration, it used for other node path of the network during power flow. This method was
purposes such as improving voltage profiles, increasing voltage tested on 33-bus and 19-bus IEEE systems and the simulation
stability, improving reliability, feeders load balancing, reducing results were compared with other methods and it was proved that
network operating costs, and so on [2]. this method performs better than other methods based on the
quality of solutions. Reference [6] is presented an Interval Multi-
Recently, various methods have been proposed for objective Evolutionary Algorithm for Distribution Feeder
distribution systems reconfiguration. Reference [3] has been Reconfiguration. This method uses interval analysis to perform
proposed a bio-inspired meta-heuristic Artificial Immune configuration assessment by considering the uncertainties in the
System to minimize energy losses. This method can handle this power demanded by customers. The simulations have been
combinatorial mixed integer problem of nonlinear performed on a 70-bus system in three case studies and show
programming. Radiality and connectivity constraints are that this method is able to determine robust configurations that
considered as well as different load levels for planning the can maintain the stable performance of such system working
system operation. For this purpose, in this study, an improved under significant load variations. Thus, the effectiveness of the
algorithm is proposed to better accommodate the features of the

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction
in any medium, provided the original work is properly cited.

© 2022 The Authors. Published by Iraqi Journal for Electrical and Electronic Engineering by College of Engineering, University of Basrah.

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