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

Oscar Danilo Montoya, Walter Gil-González, Luis Grisales-Noreña, César Orozco-Henao and Federico Serra
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Oscar Danilo Montoya: Programa de Ingeniería Eléctrica, Universidad Tecnológica de Bolívar, Km 1 vía Turbaco, Cartagena 131001, Colombia
Walter Gil-González: Programa de Ingeniería Eléctrica, Universidad Tecnológica de Pereira, AA: 97, Pereira 660003, Colombia
Luis Grisales-Noreña: Departamento de Electromecánica y Mecratrónica, Instituto Tecnológico Metropolitano, Medellín 050012, Colombia
César Orozco-Henao: Electrical and Electronic Engineering Department, Universidad del Norte, Barranquilla 080001, Colombia
Federico Serra: Laboratorio de Control Automático (LCA), Universidad Nacional de San Luis, Villa Mercedes 5730, Argentina

Energies, 2019, vol. 12, issue 23, 1-20

Abstract: 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.

Keywords: artificial neural networks; battery energy storage system; economic dispatch problem (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: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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