A Mixed-Integer Linear Programming Model for the Electric Vehicle Charging Coordination Problem in Unbalanced Electrical Distribution Systems
A Mixed-Integer Linear Programming Model for the Electric Vehicle Charging Coordination Problem in Unbalanced Electrical Distribution Systems
复制标题
DOI：
10.1109/tsg.2015.2394489
复制
发表时间：
2015-02
影响因子：
9.6
通讯作者：
J. Franco;M. J. Rider;R. Romero
中科院分区：
文献类型：
--
作者：
J. Franco;M. J. Rider;R. Romero
针对不平衡配电系统中的电动汽车充电协调问题，提出了一种新的混合整数线性规划模型。线性化技术应用于一个混合整数非线性规划模型，以获得建议的MILP制定基于电流注入。用于表示EDS稳态操作的表达式考虑了电路的三相表示以及负载的不平衡，从而产生更真实的模型。此外，所提出的配方考虑了分布式发电机和操作限制，如电压和电流的大小限制的存在。使用商业MILP求解器找到了数学模型的最优解。在专门文献中使用的分配系统中对拟定制剂进行了检测。结果表明，该方法的有效性和鲁棒性，也表明，该模型可以用于解决EVCC问题的EDS。
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.