###### Abstract  
Large sports centers are characterized by special energy demand profiles compared to other facilities. The aim of this work is to assess the economic investment of photovoltaics (PVs) on a sport center microgrid using different charging methods and by efficiently exploiting the PV generation. The overall work is performed in the following three steps. The first step is the energy requirement analysis, the second focuses on a PEV charging strategy proposition in order to exploit the PV generation, grid electricity price, and Vehicle-to-Grid (V2G), and the third step is the net present value (NPV) analysis of the PV investment in the different scenarios. The simulations showed that the proposed charging strategy increases the NPV. In addition, the increment of PEV penetration rate leads to the maximization of the NPV. The energy and costs analysis are carried out for an application case in the Olympic Athletic Centre of Athens.  
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trading market to another. The vehicle-to-grid (V2G) is considered in order to deal with the balancing of total load demand and generation. The study in [6] presents a day-ahead optimal scheduling strategy for a microgrid with EV charging station. The paper develops a mixed integer linear programming algorithm to minimize the cost of microgrid and EV charging. Only EVs with state of charge (SoC) of 80% and up can participate in V2G.  
[PERSON] et al. in [7] examine the optimal day of microgrids including renewable energy sources, storage devices and plug-in hybrid electric vehicles (PHEVs) considering uncertainties using Monte Carlo simulation. They introduce a modified symbiotic organisms search algorithm which shows a superiority at other well-known algorithms in the area. In [8], the authors examine the immediate, controlled and bidirectional EV charging with varying energy storage systems that influence the operation of the microgrid.  
In [9], a two-level microgrid problem is proposed. The focus is paid to the impact of an EV charging strategy that minimizes the charging cost and maximizes the RES generation use, on an isolated microgrid generation management site. The net present value (NPV) metric was used to assess the proposed method. The authors of [10] examine the effects of a controllable EV charging system on the economics of an isolated microgrid. They conclude that the control of the EV charging could increase RES sharing, and reduce CO\({}_{2}\) emissions by reducing the operation of diesel generators.  
The work in [11] analyzes the impact of V2G on PV self-consumption using different smart EV charging control algorithms and microgrid configurations. A PV system design and a dynamic charging of EV in the workplace, equipped with solar energy powered EV chargers, is investigated in [12]. In [13], [PERSON] proposed an optimization framework for the smart power management and exchange of a microgrid comprised of a PV, an electric vehicle, an energy storage unit and some local loads. In addition, a vehicle-to-building concept was supported. The objective function was to reduce/shave the peak load and to fulfill the power demand of EVs.  
The researchers in [14] compare the economical factor of the orientation of the PV panel to increase the power at a specific time period and the existence or absence of storage units in order to cover the need of the EV charging at the University of Palermo. In this case study, they conclude that the storage unit is not profitable. In [15], the authors investigate the fluctuation of annualized cost in a residential microgrid, according to the energy dispatch considering demand-response, when a different EV penetration rate is applied. A heuristic rule-based real time management scheme for an isolated microgrid was proposed in [16]. The results show that the EV charging cost and the burden to the microgrid was reduced.