Distributed Reactive Power Injection-Based Approach for Minimization of Losses in Electrical Networks Considering Heuristic Algorithms and Voltage Deviation

Gilberto Lopes Filho (), Henrique Pires Corrêa and Flávio Henrique Teles Vieira
Additional contact information
Gilberto Lopes Filho: Escola de Engenharia Elétrica, Mecânica e de Computação—EMC, Universidade Federal de Goiás—UFG, Goiânia 74605-010, GO, Brazil
Henrique Pires Corrêa: Escola de Engenharia Elétrica, Mecânica e de Computação—EMC, Universidade Federal de Goiás—UFG, Goiânia 74605-010, GO, Brazil
Flávio Henrique Teles Vieira: Escola de Engenharia Elétrica, Mecânica e de Computação—EMC, Universidade Federal de Goiás—UFG, Goiânia 74605-010, GO, Brazil

Energies, 2023, vol. 16, issue 19, 1-12

Abstract: This paper deals with the reduction in electrical losses and the minimization of voltage deviation in electrical power grids. To this end, a novel heuristic-based approach is proposed for controlling reactive power injections along an electrical grid with distributed generation using distributed photovoltaic (PV) generation. The proposed approach consists of applying a heuristic, namely a genetic or firefly algorithm, to solve the loss and voltage deviation optimization problem by controlling PV reactive power injections. The proposed method was tested on a radial 100-bus network with an intense penetration of PV generation. The obtained results indicate that the proposed method consistently yields superior grid performance when compared to algorithms previously proposed in the literature. In fact, it led to a reduction in the active power supplied by the reference bus to the grid, thereby alleviating the burden imposed on the most upstream parts of the distribution network. As a consequence, the proposed method contributes to a power-efficient network, enhancing its loss performance and voltage stability.

Keywords: electrical network; minimization; losses; voltage deviation; genetic algorithm; firefly algorithm (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/19/6761/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/19/6761/ (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:16:y:2023:i:19:p:6761-:d:1245418

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 ().