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Article

Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids

1
Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá D.C. 11021, Colombia
2
Laboratorio Inteligente de Energía, Universidad Tecnológica de Bolívar, Cartagena 131001, Colombia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(9), 2289; https://doi.org/10.3390/en13092289
Received: 6 April 2020 / Revised: 25 April 2020 / Accepted: 28 April 2020 / Published: 5 May 2020
(This article belongs to the Special Issue Microgrids: Planning, Protection and Control)
This paper deals with the problem of optimal location and reallocation of battery energy storage systems (BESS) in direct current (dc) microgrids with constant power loads. The optimization model that represents this problem is formulated with two objective functions. The first model corresponds to the minimization of the total daily cost of buying energy in the spot market by conventional generators and the second to the minimization of the costs of the daily energy losses in all branches of the network. Both the models are constrained by classical nonlinear power flow equations, distributed generation capabilities, and voltage regulation, among others. These formulations generate a nonlinear mixed-integer programming (MINLP) model that requires special methods to be solved. A dc microgrid composed of 21-nodes with existing BESS is used for validating the proposed mathematical formula. This system allows to identify the optimal location or reallocation points for these batteries by improving the daily operative costs regarding the base cases. All the simulations are conducted via the general algebraic modeling system, widely known as the General Algebraic Modeling System (GAMS). View Full-Text
Keywords: battery energy storage system; economic dispatch problem; nonlinear programming formulation; optimal reallocation of batteries; mathematical optimization battery energy storage system; economic dispatch problem; nonlinear programming formulation; optimal reallocation of batteries; mathematical optimization
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MDPI and ACS Style

Montoya, O.D.; Gil-González, W.; Rivas-Trujillo, E. Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids. Energies 2020, 13, 2289. https://doi.org/10.3390/en13092289

AMA Style

Montoya OD, Gil-González W, Rivas-Trujillo E. Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids. Energies. 2020; 13(9):2289. https://doi.org/10.3390/en13092289

Chicago/Turabian Style

Montoya, Oscar D., Walter Gil-González, and Edwin Rivas-Trujillo. 2020. "Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids" Energies 13, no. 9: 2289. https://doi.org/10.3390/en13092289

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