PV-Powered Charging Station: Energy Management and Cost Optimization

Cheikh-Mohamad, Saleh; Sechilariu, Manuela; Locment, Fabrice

doi:10.1109/isie45552.2021.9576324

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The findings of the simulation indicate that the suggested optimisation technique meets the needs of EV users while offering V2G service. It also emphasises the advantages of the V2G facility, as the estimated expenses of the suggested algorithm outperform the baseline scenario by a considerable margin [21].…”

Section: Introductionmentioning

confidence: 93%

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A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

K. K.,

N. S.,

Jadoun

2024

IET Generation Trans & Dist

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Uncertainty analysis deals with the fluctuations and unpredictability of the electrical power generated from renewable resources (RRs), such as solar PV and wind energy systems. This paper gives an insight into various techniques used for the uncertainty analysis and a probabilistic Monte Carlo Simulation is applied for modelling the uncertainties concerned with RRs and electric vehicle (EV) load in the MATLAB platform. The uncertainty associated with the price sensitivity of EV charging and the state of charge of EVs is taken as a prime factor for analysis in the present work. Despite the fluctuations and unpredictability of electricity generation and consumption, the considered system ensures that the total amount of electricity supplied by solar PV, wind and grid matches the total amount of electricity demanded by EV load. Rao‐1, Rao‐2 and Rao‐3 algorithms are applied in this work to optimize the operation cost of charging stations under uncertain conditions and without any uncertainties. The results obtained without uncertainties by Rao algorithms are compared with the existing particle swarm optimisation method. In the presence of uncertainties, Rao‐1 and Rao‐2 algorithms are compared with Rao‐3 and it is found that the Rao‐3 algorithm performed better.

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Section: Introductionmentioning

confidence: 93%

“…References [20,21] highlight the optimisation of operation cost and energy consumption cost of CS. EV battery charging is optimised with a small-scale PV power plant, and problem-based optimisation is used to optimise the system.…”

Section: Introductionmentioning

confidence: 99%

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

K. K.,

N. S.,

Jadoun

2024

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…The MILP formulation is used to reduce the total energy cost of the PVCS. This supervisory control system has the advantage of interacting with EV users for optimization; yet, if the choices of the EV users are not practical, they must be adjusted in order to enable optimization [45]. For instance, if an EV user arrives at the charging station and requests fast charging, but the available power cannot support it, the HMI will communicate with the user to suggest charging in average or slow mode, waiting for available power, or leaving the charging station altogether.…”

Section: Pv-powered Charging Station With V2g Service With Energy Cos...mentioning

confidence: 99%

PV-Powered Charging Station with Energy Cost Optimization via V2G Services

et al. 2023

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Satisfying the increased power demand of electric vehicles (EVs) charged by clean energy sources will become an important aspect that impacts the sustainability and the carbon emissions of the smart grid. A photovoltaic (PV)-powered charging station (PVCS) formed by PV modules and a stationary storage system with a public grid connection can provide cost-efficient and reliable charging strategies for EV batteries. Moreover, the utilization of vehicle-to-grid (V2G) service is a promising solution, as EVs spend most of their time idle in charging stations. As a result, V2G services have the potential to provide advantages to both public grid operators and EV users. In this paper, an energy management algorithm of a PVCS formulated with mixed-integer linear programming is presented to minimize the total energy cost of the participation of EV users in V2G service. Simulation results demonstrate that the proposed optimization method satisfies EV user demands while providing V2G service and highlights the benefits of the V2G service where the determined costs of the proposed algorithm perform significantly better compared to the baseline scenario (simulation without optimization).

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Real-Time Power Management Including an Optimization Problem for PV-Powered Electric Vehicle Charging Stations

2022

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Electric vehicles (EVs) are expanding quickly and widely, and, therefore, EVs can participate in reducing direct greenhouse gas emissions. The intelligent infrastructure for recharging EVs, which is microgrid-based, includes photovoltaic (PV) sources, stationary storage, and a grid connection as power sources. In this article, the energy cost optimization problem is studied, taking into account the intermittent arrival and departure of EVs. A mixed-integer linear programming is formulated as an optimization problem in a real-time operation to minimize the total energy cost, taking into consideration the physical limitations of the system. The interaction with the human-machine interface provides EV data in real-time operation, and the prediction only communicates the PV prediction profile provided by the national meteorological institute in France. The optimization is executed at each EV arrival, with the actualized data in the DC microgrid. Simulation and real-time experimental results of different meteorological conditions show that the EV user demands are satisfied, proving the feasibility of the proposed optimization problem for real-time power management.

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PV-Powered Charging Station: Energy Management and Cost Optimization

Cited by 4 publications

References 17 publications

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

A probabilistic approach on uncertainty modelling and their effect on the optimal operation of charging stations

PV-Powered Charging Station with Energy Cost Optimization via V2G Services

Real-Time Power Management Including an Optimization Problem for PV-Powered Electric Vehicle Charging Stations

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