Since the main objective of expanding the deployment of electric vehicle (EV) usage is to reduce the dependency on carbon‐based fuels, it is essential to consider eco‐friendly and renewable sources to generate the power needed for charging those vehicles. This study suggests and analyzes a stand‐alone solar and wind energy‐driven integrated system with electro/chemical energy storage to provide independent and uninterruptable power supply for EV charging stations. Due to the intermittent nature of the utilized renewable energy sources, energy storage is a key concern to be considered in this study. Therefore, in addition to batteries, hydrogen and ammonia are considered as energy storage media, which can be converted into electricity through fuel cells on demand. The results show that with selected commercialized photovoltaic power plant covering an area of about 1500 m², a 250 kW rated wind turbine, 650 kWh Li‐ion storage batteries, 30 m³ storage of H₂ in gas form, and 5 m³ storage of NH₃ in liquid form, a grid‐independent charging station sufficient for fast charging of 50 number of EVs per day can be achieved. Additional suggestions are proposed to better manage the energy storage within the charging stations based on short‐term and long‐term operations.

E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. To secure the electricity required to satisfy Electric Vehicles’ (EVs’) charging needs without expanding or overloading the existing electricity infrastructure, stand-alone charging stations powered by renewable sources are considered as a reasonable solution. This paper investigates the simulation of the optimal energy management of a proposed grid-independent, multi-generation, fast-charging station in the State of Qatar, which comprises hybrid wind, solar and biofuel systems along with ammonia, hydrogen and battery storage units. The study aims to assess the optimal sizing of the solar, wind and biofuel units to be incorporated in the design along with the optimal ammonia, hydrogen and battery storage capacities to fulfill the daily EV demand in an uninterruptable manner. The main objective is to fast-charge a minimum of 50 EVs daily, while the constraints are the intermittent and volatile nature of renewable energy sources, the stochastic nature of EV demand, local meteorological conditions and land space limitations. The results show that the selection of a 468 kWp concentrated photovoltaic thermal plant, 250 kW-rated wind turbine, 10 kW biodiesel power generator unit and 595 kWh battery storage system, along with the on-site production of hydrogen and ammonia, to generate 200 kW power via fuel cells can achieve the desired target, with a total halt of on-site hydrogen and ammonia production during October and November and 50% reduction during December.

Voltage deviation in power systems, particularly during overloading and light load conditions, has become a significant concern. To address this issue, Photovoltaic (PV) sources are used to compensate for voltage deviations within the specified range. Existing control schemes, such as P-Q-V droop and network agonist adaptive PQ method, are uncoordinated and can lead to overloading and stress on the system. To address this need, a centralized supervisory voltage controller (CSVC) is proposed in this paper to minimize voltage deviations at various buses. The CSVC uses a wide area measurement system (WAMS) to obtain information on bus voltage. Based on the available voltage deviations, the CSVC assigns reference active and reactive power signals to each local controller of the distributed PV source. By coordinating the power injection from multiple PV sources, the proposed CSVC ensures balanced and proportionate sharing of active and reactive power, thereby reducing stress on PV source converters. The main achievement of this paper is demonstrating that the proposed CSVC can regulate the voltage of the buses within the required limits during underload and overload conditions. The reference signals allocated by the proposed CSVC are designed so that each PV source supplies active and reactive power in proportion to its rated capacity. This helps reduce the overloading of PV source converters. The effectiveness of the proposed CSVC scheme is successfully validated on a real-time digital simulator (RTDS) platform, that maintains bus voltages within 0.95–1.05 pu, limit by coordinating three PV sources as compared to one and two PV source.