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Open AccessArticle

Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models

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Programa de Ingeniería Eléctrica, Universidad Tecnológica de Bolívar, Km 1 vía Turbaco, Cartagena 131001, Colombia
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Programa de Ingeniería Eléctrica, Universidad Tecnológica de Pereira, AA: 97, Pereira 660003, Colombia
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Departamento de Electromecánica y Mecratrónica, Instituto Tecnológico Metropolitano, Medellín 050012, Colombia
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Electrical and Electronic Engineering Department, Universidad del Norte, Barranquilla 080001, Colombia
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Laboratorio de Control Automático (LCA), Universidad Nacional de San Luis, Villa Mercedes 5730, Argentina
*
Author to whom correspondence should be addressed.
Energies 2019, 12(23), 4494; https://doi.org/10.3390/en12234494
Received: 28 September 2019 / Revised: 6 November 2019 / Accepted: 8 November 2019 / Published: 26 November 2019
This paper addresses the optimal dispatch problem for battery energy storage systems (BESSs) in direct current (DC) mode for an operational period of 24 h. The problem is represented by a nonlinear programming (NLP) model that was formulated using an exponential voltage-dependent load model, which is the main contribution of this paper. An artificial neural network was employed for the short-term prediction of available renewable energy from wind and photovoltaic sources. The NLP model was solved by using the general algebraic modeling system (GAMS) to implement a 30-node test feeder composed of four renewable generators and three batteries. Simulation results demonstrate that the cost reduction for a daily operation is drastically affected by the operating conditions of the BESS, as well as the type of load model used. View Full-Text
Keywords: artificial neural networks; battery energy storage system; economic dispatch problem artificial neural networks; battery energy storage system; economic dispatch problem
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MDPI and ACS Style

Montoya, O.D.; Gil-González, W.; Grisales-Noreña, L.; Orozco-Henao, C.; Serra, F. Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models. Energies 2019, 12, 4494.

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