Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Optimal Allocation and Sizing of Distributed Generation in Radial Distributed System Using Ant Colony Search Algorithm

Authors
G. V. Naga Lakshmi1, *, M. Shiva Kumar1
1Department of Electrical Engineering, University College of Engineering Osmania University, Hyderabad, Telangana, India
*Corresponding author. Email: nagalakshmi.eedou@gmail.com
Corresponding Author
G. V. Naga Lakshmi
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_61How to use a DOI?
Keywords
Ant Colony Search Algorithm (ACSA); Load flow in Radial Distribution System (RDS); Optimal Allocation of Distributed Generation (DG); Heuristic Optimization Technique; Loss Reduction
Abstract

The majority of system losses are caused by the distribution system, hence distribution utilities are embracing new technologies and investigating other options, such as placing distribution generation (DG) in a radial distribution system to reduce losses and maximize benefits. Finding the best solution for optimal DG allocation and sizing, is therefore necessary.. In this paper, the Ant colony search algorithm (ACSA) is used to optimize distributed generation (DG) allocation and sizing in radial distribution networks. Various IEEE radial distribution systems such as 15 bus, 33 bus and 85 bus are analyzed for optimal allocation and sizing duly mentioning the required number of distribution generators. The objective function is to keep the voltage at various nodes close to unity and to minimize losses. The simple and efficient method for load flow studies in radial distribution system is used for conducting load flow studies and evaluating voltage at each bus. The ACSA method is used for 15 bus, 33 bus, and 85 bus IEEE radial distribution systems with multiple numbers of DGs in order to determine the best distribution and sizing of DGs. The results of the 15 bus and 85 bus systems are then compared to those obtained by taking into account an objective function to reduce losses.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_61
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_61How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. V. Naga Lakshmi
AU  - M. Shiva Kumar
PY  - 2023
DA  - 2023/11/09
TI  - Optimal Allocation and Sizing of Distributed Generation in Radial Distributed System Using Ant Colony Search Algorithm
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 588
EP  - 604
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_61
DO  - 10.2991/978-94-6463-252-1_61
ID  - Lakshmi2023
ER  -