info:eu-repo/semantics/article
Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models
Fecha
2019-11Registro en:
Montoya, Oscar Danilo; Gil González, Walter; Grisales Norena, Luis; Orozco Henao, César; Serra, Federico Martin; Economic Dispatch of BESS and Renewable Generators in DC Microgrids Using Voltage-Dependent Load Models; Molecular Diversity Preservation International; Energies; 12; 23; 11-2019; 1-10
1996-1073
CONICET Digital
CONICET
Autor
Montoya, Oscar Danilo
Gil González, Walter
Grisales Norena, Luis
Orozco Henao, César
Serra, Federico Martin
Resumen
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.