This article presents a mixed-integer linear programming optimization problem to minimize the energy cost of a charging station powered by photovoltaics via V2G service. Department of Energy (DOE) Solar Energy Technologies Office (SETO) and its national laboratory partners analyze cost data for U. solar photovoltaic (PV) systems to develop cost benchmarks. Satisfying the increased power demand of electric vehicles (EVs) charged by clean energy sources will become an important aspect. . To enhance the local consumption of photovoltaic (PV) energy in distribution substations and increase the revenue of centralized energy storage service providers, this paper proposes a novel business model aimed at maximizing local PV consumption and the profits of centralized energy storage. . In this context, the first report published by IEA Task 17 Subtask 2 highlights the main requirements and feasibility conditions for increasing the benefits of photovoltaic (PV) energy through PV-powered charging stations (PVCS). This second report delves into the technical, economic. . Department of Energy Production and Use, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania Authors to whom correspondence should be addressed.
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