Optimal Operation of PV Sources in DC Grids for Improving Technical, Economical, and Environmental Conditions by Using Vortex Search Algorithm and a Matrix Hourly Power Flow
| Autor: | Oscar Danilo Montoya Giraldo, Fabio Andrade, Brandon Cortés, Luis Fernando Grisales Noreña, Andrés Alfonso Rosales Muñoz |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Photovoltaic generation
LEMB General Mathematics direct current networks grid-connected network standalone network metaheuristic optimization methods master–slave methodology photovoltaic generation minimization of operating costs minimization of energy losses minimization of CO2 emissions Master–slave methodology Minimization of operating costs Metaheuristic optimization methods Computer Science (miscellaneous) Minimization of CO2 emissions Direct current networks Standalone network Grid-connected network Engineering (miscellaneous) Minimization of energy losses |
| Zdroj: | Mathematics; Volume 11; Issue 1; Pages: 93 Mathematics Vol. 11 No. 1 (2023) |
| ISSN: | 2227-7390 |
| DOI: | 10.3390/math11010093 |
| Popis: | This document presents a master–slave methodology for solving the problem of optimal operation of photovoltaic (PV) distributed generators (DGs) in direct current (DC) networks. This problem was modeled using a nonlinear programming model (NLP) that considers the minimization of three different objective functions in a daily operation of the system. The first one corresponds to the minimization of the total operational cost of the system, including the energy purchasing cost to the conventional generators and maintenance costs of the PV sources; the second objective function corresponds to the reduction of the energy losses associated with the transport of energy in the network, and the third objective function is related to the minimization of the total emissions of CO2 by the conventional generators installed on the DC grid. The minimization of these objective functions is achieved by using a master–slave optimization approach through the application of the Vortex Search algorithm combined with a matrix hourly power flow. To evaluate the effectiveness and robustness of the proposed approach, two test scenarios were used, which correspond to a grid-connected and a standalone network located in two different regions of Colombia. The grid-connected system emulates the behavior of the solar resource and power demand of the city of Medellín-Antioquia, and the standalone network corresponds to an adaptation of the generation and demand curves for the municipality of Capurganá-Choco. A numerical comparison was performed with four optimization methodologies reported in the literature: particle swarm optimization, multiverse optimizer, crow search algorithm, and salp swarm algorithm. The results obtained demonstrate that the proposed optimization approach achieved excellent solutions in terms of response quality, repeatability, and processing times. |
| Databáze: | OpenAIRE |
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