Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm

11Citations
Citations of this article
30Readers
Mendeley users who have this article in their library.

Abstract

In this paper, an optimization approach based on an arithmetic optimization algorithm (AOA) is proposed for specifying the optimal allocation of distribution generations/generators (DGs) and capacitor banks (CBs) in radial distribution systems. The AOA is a new population-based meta-heuristic algorithm that is essentially based on using basic arithmetic operators in mathematics. The proposed approach is employed to specify the optimum placement, capacity, and power factor of DGs and CBs to decrease the distribution systems’ total power loss and voltage deviation. To state the performance of the proposed approach, DGs and CBs are placed in IEEE 33-bus and 69-bus systems separately or together. When only DGs are used and the parameters of location, capacity, and power factor of DGs are determined simultaneously, the total active power loss reductions in the IEEE 33-bus and 69-bus systems are achieved at 94.42% and 98.03%, respectively. When the results of other optimization algorithms are examined, it is seen that better results are obtained with AOA.

References Powered by Scopus

Network reconfiguration in distribution systems for loss reduction and load balancing

3588Citations
N/AReaders
Get full text

The Arithmetic Optimization Algorithm

2165Citations
N/AReaders
Get full text

Optimal sizing of capacitors placed on a radial distribution system

1302Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Improved Manta Ray Foraging Algorithm for Optimal Allocation Strategies to Power Delivery Capabilities in Active Distribution Networks

5Citations
N/AReaders
Get full text

An Improved Bio-Inspired Material Generation Algorithm for Engineering Optimization Problems Including PV Source Penetration in Distribution Systems

3Citations
N/AReaders
Get full text

Hierarchical Learning-Enhanced Chaotic Crayfish Optimization Algorithm: Improving Extreme Learning Machine Diagnostics in Breast Cancer

2Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Pamuk, N., & Uzun, U. E. (2024). Optimal Allocation of Distributed Generations and Capacitor Banks in Distribution Systems Using Arithmetic Optimization Algorithm. Applied Sciences (Switzerland), 14(2). https://doi.org/10.3390/app14020831

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

86%

Lecturer / Post doc 1

14%

Readers' Discipline

Tooltip

Engineering 5

83%

Energy 1

17%

Article Metrics

Tooltip
Mentions
Blog Mentions: 1
News Mentions: 1

Save time finding and organizing research with Mendeley

Sign up for free