Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method

This paper addresses the Optimal Power Flow (OPF) problem in Direct Current (DC) networks by considering the integration of Distributed Generators (DGs). In order to model said problem, this study employs a mathematical formulation that has, as the objective function, the reduction in power losses a...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Andrés Alfonso Rosales Muñoz, Luis Fernando Grisales-Noreña, Jhon Montano, Oscar Danilo Montoya, Diego Armando Giral-Ramírez
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	optimal power flow power flow problem optimization algorithms DC networks electrical energy combinatorial optimization Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/7990777a77744197bbbf840ca9868fe7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7990777a77744197bbbf840ca9868fe7
record_format	dspace
spelling	oai:doaj.org-article:7990777a77744197bbbf840ca9868fe72021-11-25T17:25:09ZOptimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method10.3390/electronics102228372079-9292https://doaj.org/article/7990777a77744197bbbf840ca9868fe72021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2837https://doaj.org/toc/2079-9292This paper addresses the Optimal Power Flow (OPF) problem in Direct Current (DC) networks by considering the integration of Distributed Generators (DGs). In order to model said problem, this study employs a mathematical formulation that has, as the objective function, the reduction in power losses associated with energy transport and that considers the set of constraints that compose DC networks in an environment of distributed generation. To solve this mathematical formulation, a master–slave methodology that combines the Salp Swarm Algorithm (SSA) and the Successive Approximations (SA) method was used here. The effectiveness, repeatability, and robustness of the proposed solution methodology was validated using two test systems (the 21- and 69-node systems), five other optimization methods reported in the specialized literature, and three different penetration levels of distributed generation: 20%, 40%, and 60% of the power provided by the slack node in the test systems in an environment with no DGs (base case). All simulations were executed 100 times for each solution methodology in the different test scenarios. The purpose of this was to evaluate the repeatability of the solutions provided by each technique by analyzing their minimum and average power losses and required processing times. The results show that the proposed solution methodology achieved the best trade-off between (minimum and average) power loss reduction and processing time for networks of any size.Andrés Alfonso Rosales MuñozLuis Fernando Grisales-NoreñaJhon MontanoOscar Danilo MontoyaDiego Armando Giral-RamírezMDPI AGarticleoptimal power flowpower flow problemoptimization algorithmsDC networkselectrical energycombinatorial optimizationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2837, p 2837 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	optimal power flow power flow problem optimization algorithms DC networks electrical energy combinatorial optimization Electronics TK7800-8360
spellingShingle	optimal power flow power flow problem optimization algorithms DC networks electrical energy combinatorial optimization Electronics TK7800-8360 Andrés Alfonso Rosales Muñoz Luis Fernando Grisales-Noreña Jhon Montano Oscar Danilo Montoya Diego Armando Giral-Ramírez Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
description	This paper addresses the Optimal Power Flow (OPF) problem in Direct Current (DC) networks by considering the integration of Distributed Generators (DGs). In order to model said problem, this study employs a mathematical formulation that has, as the objective function, the reduction in power losses associated with energy transport and that considers the set of constraints that compose DC networks in an environment of distributed generation. To solve this mathematical formulation, a master–slave methodology that combines the Salp Swarm Algorithm (SSA) and the Successive Approximations (SA) method was used here. The effectiveness, repeatability, and robustness of the proposed solution methodology was validated using two test systems (the 21- and 69-node systems), five other optimization methods reported in the specialized literature, and three different penetration levels of distributed generation: 20%, 40%, and 60% of the power provided by the slack node in the test systems in an environment with no DGs (base case). All simulations were executed 100 times for each solution methodology in the different test scenarios. The purpose of this was to evaluate the repeatability of the solutions provided by each technique by analyzing their minimum and average power losses and required processing times. The results show that the proposed solution methodology achieved the best trade-off between (minimum and average) power loss reduction and processing time for networks of any size.
format	article
author	Andrés Alfonso Rosales Muñoz Luis Fernando Grisales-Noreña Jhon Montano Oscar Danilo Montoya Diego Armando Giral-Ramírez
author_facet	Andrés Alfonso Rosales Muñoz Luis Fernando Grisales-Noreña Jhon Montano Oscar Danilo Montoya Diego Armando Giral-Ramírez
author_sort	Andrés Alfonso Rosales Muñoz
title	Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
title_short	Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
title_full	Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
title_fullStr	Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
title_full_unstemmed	Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method
title_sort	optimal power dispatch of distributed generators in direct current networks using a master–slave methodology that combines the salp swarm algorithm and the successive approximation method
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7990777a77744197bbbf840ca9868fe7
work_keys_str_mv	AT andresalfonsorosalesmunoz optimalpowerdispatchofdistributedgeneratorsindirectcurrentnetworksusingamasterslavemethodologythatcombinesthesalpswarmalgorithmandthesuccessiveapproximationmethod AT luisfernandogrisalesnorena optimalpowerdispatchofdistributedgeneratorsindirectcurrentnetworksusingamasterslavemethodologythatcombinesthesalpswarmalgorithmandthesuccessiveapproximationmethod AT jhonmontano optimalpowerdispatchofdistributedgeneratorsindirectcurrentnetworksusingamasterslavemethodologythatcombinesthesalpswarmalgorithmandthesuccessiveapproximationmethod AT oscardanilomontoya optimalpowerdispatchofdistributedgeneratorsindirectcurrentnetworksusingamasterslavemethodologythatcombinesthesalpswarmalgorithmandthesuccessiveapproximationmethod AT diegoarmandogiralramirez optimalpowerdispatchofdistributedgeneratorsindirectcurrentnetworksusingamasterslavemethodologythatcombinesthesalpswarmalgorithmandthesuccessiveapproximationmethod
_version_	1718412357458198528

Optimal Power Dispatch of Distributed Generators in Direct Current Networks Using a Master–Slave Methodology That Combines the Salp Swarm Algorithm and the Successive Approximation Method

Ejemplares similares