A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration

Mirna Fouad Abd El-salam, Eman Beshr and Magdy B. Eteiba
Additional contact information
Mirna Fouad Abd El-salam: Electrical and Control Engineering Department, Arab Academy for Science, Technology, and Maritime Transport, Sheraton Al Matar, P.O.2033 Elhorria, Cairo 11311, Egypt
Eman Beshr: Electrical and Control Engineering Department, Arab Academy for Science, Technology, and Maritime Transport, Sheraton Al Matar, P.O.2033 Elhorria, Cairo 11311, Egypt
Magdy B. Eteiba: The Faculty of Engineering, Fayoum University, Al Fayoum, Faiyum 63514, Egypt

Energies, 2018, vol. 11, issue 12, 1-26

Abstract: Transformations are taking place within the distribution systems to cope with the congestions and reliability concerns. This paper presents a new technique to efficiently minimize power losses within the distribution system by optimally sizing and placing distributed generators (DGs) while considering network reconfiguration. The proposed technique is a hybridization of two metaheuristic-based algorithms: Grey Wolf Optimizer (GWO) and Particle Swarm Optimizer (PSO), which solve the network reconfiguration problem by optimally installing different DG types (conventional and renewable-based). Case studies carried out showed the proposed hybrid technique outperformed each algorithm operating individually regarding both voltage profile and reduction in system losses. Case studies are carried to measure and compare the performance of the proposed technique on three different works: IEEE 33-bus, IEEE 69-bus radial distribution system, and an actual 78-bus distribution system located at Cairo, Egypt. The integration of renewable energy with the distribution network, such as photovoltaic (PV) arrays, is recommended since Cairo enjoys an excellent actual record of irradiance according to the PV map of Egypt.

Keywords: AC power flow (AC-PF); distributed generators (DGs); hybrid GWO-PSO; losses reduction; metaheuristic algorithms; renewable energy resources (RES); system reconfiguration; voltage profile (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: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/12/3351/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/12/3351/ (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:11:y:2018:i:12:p:3351-:d:186804

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 ().