Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method

Andrés Alfonso Rosales-Muñoz (), Jhon Montano, Luis Fernando Grisales-Noreña (), Oscar Danilo Montoya and Fabio Andrade
Additional contact information
Andrés Alfonso Rosales-Muñoz: MATyER Research Group, Faculty of Engineering, Instituto Tecnológico Metropolitano, Robledo Campus, Medellín 050036, Colombia
Jhon Montano: Department of Electronics and Telecommunications, Instituto Tecnológico Metropolitano, Medellín 050028, Colombia
Luis Fernando Grisales-Noreña: MATyER Research Group, Faculty of Engineering, Instituto Tecnológico Metropolitano, Robledo Campus, Medellín 050036, Colombia
Oscar Danilo Montoya: Grupo de Compatibilidad e Interferencia Electromagnética, Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia
Fabio Andrade: Electrical and Computer Engineering Department, University of Puerto Rico at Mayaguez, Mayaguez, PR 00680, USA

Sustainability, 2022, vol. 14, issue 20, 1-32

Abstract: In this paper, we address the problem of the optimal power dispatch of Distributed Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power Flow (OPF) problem. We used, as the objective function, the minimization of power losses ( P l o s s ) associated with energy transport, which are subject to the set of constraints that compose AC networks in an environment of distributed generation. To validate the effectiveness of the proposed methodology in solving the OPF problem in any network topology, we employed one 10-node mesh test system and three radial text systems: 10, 33, and 69 nodes. In each test system, DGs were allowed to inject 20 % , 40 % , and 60 % of the power supplied by the slack generator in the base case. To solve the OPF problem, we used a master–slave methodology that integrates the optimization method Salps Swarm Algorithm (SSA) and the load flow technique based on the Successive Approximation (SA) method. Moreover, for comparison purposes, we employed some of the algorithms reported in the specialized literature to solve the OPF problem (the continuous genetic algorithm, the particle swarm optimization algorithm, the black hole algorithm, the antlion optimization algorithm, and the Multi-Verse Optimizer algorithm), which were selected because of their excellent results in solving such problems. The results obtained by the proposed solution methodology demonstrate its superiority and convergence capacity in terms of minimization of P l o s s in both radial and mesh systems. It provided the best reduction in minimum P l o s s in short processing times and showed excellent repeatability in each test system and scenario under analysis.

Keywords: optimal power dispatch; optimal power flow; alternating currents; distributed generators; power losses; master–slave methodology; salp swarm algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/20/13408/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/20/13408/ (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:jsusta:v:14:y:2022:i:20:p:13408-:d:945541

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

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