Book Description
Modern power systems increasingly rely on distributed energy resources (DERs), which requires new planning practices. This paper proposes a strategy to solve the facility allocation problem for fast charging stations (FCSs) of electric vehicles (EVs). The mixed-integer nonlinear programming (MINLP) model minimizes investment and total operation costs, considering the building of FCSs with photovoltaic (PV) systems over carports and battery energy storage systems (BESSs) as planning alternatives. The aspects of the set covering problem are adapted to evaluate candidates to accommodate FCSs. A preprocessing strategy is proposed to define an EV fleet and the required energy demand of each FCS. A multiobjective approach is used to obtain a compromise optimal solution for the MINLP model. The combined strategies lead to a reduced computational burden, allowing full-scale studies of electromobility infrastructure planning. Results from studies use a real-world Brazilian case to certify the benefits of the proposed strategy in optimizing the FCS allocation problem. The optimized operation demonstrates the reduction in the operation cost considering the renewable alternatives.