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A Mixed-Integer Linear Programming Model for the Electric Vehicle Charging Coordination Problem in Unbalanced Electrical Distribution Systems

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ID Minciencias: ART-0000003159-38
Ranking: ART-ART_A1

Abstract:

This paper presents a novel mixed-integer linear programming (MILP) model for the electric vehicle charging coordination (EVCC) problem in unbalanced electrical distribution systems (EDSs). Linearization techniques are applied over a mixed-integer nonlinear programming model to obtain the proposed MILP formulation based on current injections. The expressions used to represent the steady-state operation of the EDS take into account a three-phase representation of the circuits, as well as the imbalance of the loads, leading to a more realistic model. Additionally, the proposed formulation considers the presence of distributed generators and operational constraints such as voltage and current magnitude limits. The optimal solution for the mathematical model was found using commercial MILP solvers. The proposed formulation was tested in a distribution system used in the specialized literature. The results show the efficiency and the robustness of the methodology, and also demonstrate that the model can be used in the solution of the EVCC problem in EDSs.

Tópico:

Electric Vehicles and Infrastructure

Citaciones:

Citations: 149
149

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Información de la Fuente:

SCImago Journal & Country Rank
FuenteIEEE Transactions on Smart Grid
Cuartil año de publicaciónNo disponible
Volumen6
Issue5
Páginas2200 - 2210
pISSNNo disponible
ISSN1949-3053

Enlaces e Identificadores:

Minciencias IDART-0000003159-38Scienti ID0000003159-38Openalex URLhttps://openalex.org/W2043215380
Doi URLhttps://doi.org/10.1109/tsg.2015.2394489
Artículo de revista