Techno-Economic Enhancement of Distribution Network by Optimal DG Allocation Along with Network Reconfiguration Considering Different Load Models and Levels

Chintan D. Patel, Tarun Kumar Tailor (), Samyak S. Shah, Gulshan Sharma and Pitshou N. Bokoro
Additional contact information
Chintan D. Patel: Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India
Tarun Kumar Tailor: Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India
Samyak S. Shah: Department of Electrical Engineering, Nirma University, Ahmedabad 382481, Gujarat, India
Gulshan Sharma: Department of Electrical & Electronics Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa
Pitshou N. Bokoro: Department of Electrical & Electronics Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa

Energies, 2025, vol. 18, issue 12, 1-16

Abstract: Distributed generation (DG) within the electrical distribution network (DN) has witnessed significant expansion globally, attributed to both technological advancements and environmental benefits. However, uncoordinated integration of DG in suboptimal locations can negatively influence the operational efficacy through issues such as increased power losses, voltage fluctuations, and protection coordination issues of the DN. Consequently, the optimal allocation of DG represents a critical element of consideration. Furthermore, the integration of network reconfiguration (NR) alongside DG units has the potential to significantly enhance system performance with only the existing infrastructure. Therefore, this work focuses on improving DN performance with optimal DG integration along with NR. The considered objectives are minimization of active power loss (APL) and cost of annual energy loss (CAEL). CAEL minimization by DG allocation and NR under multiple load models is addressed for the first time in this study. The efficacy of the employed hiking optimization algorithm (HOA) is illustrated through its application to the IEEE 33-Bus DN under various scenarios of DG operational power factors (PFs). A comparative analysis between the HOA and other reported methodologies is presented. Additionally, the results obtained for CAEL in case 6 (DG allocation with NR) are approximately 22.3% better that the best reported results of CAEL without NR, thereby affirming the usefulness of integrating the NR during DG allocation.

Keywords: distributed generation; network reconfiguration; hiking optimization algorithm; distribution network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/12/3005/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/12/3005/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:12:p:3005-:d:1673124

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().