Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles

Selim, Ali; Abdel‐Akher, Mamdouh; Kamel, Salah; Almohaimeed, Sulaiman A.

doi:10.3390/app11146632

Cited by 7 publications

(4 citation statements)

References 49 publications

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“…To minimize the cost of charging, taking into account the ratio between the acceptable charging capacity of the electric vehicle battery and the state of charge (SOC), a heuristic method is implemented. Also [10] presents an EV charging model based on real-time price information, considering the preferences of individual vehicles as well. If we take into account the computational time of large optimization problems, heuristic algorithms are superior to direct optimization.…”

Section: Analysis Of Literary Datamentioning

confidence: 99%

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Optimization of power dispatching schedule of a charging station based on a micro grid with a photovoltaic module

Lavrenova,

Denysiuk

2023

AAIT

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The world is on a course toward total electrification of vehicles. In the near future, most vehicles will run on electric power. One of the main reasons for users' dissatisfaction with electric vehicles is the lack of public direct current charging stations. Since electric vehicles charging can cause an additional increase in peak load on the grid, the optimal solution is direct current charging stations with photovoltaic generation with a micro grid architecture. If the charging station has a connection to the public grid, then, provided that the solar energy and storage system are optimally utilized, the station aggregator's profit can be increased by selling excess energy to the grid. This paper analyzes the charging habits of customers at direct current charging stations. It was found that the peak demand for charging is observed around 9:00 and 14:00-17:00, the same time as the general peak load on the grid. Thus, the peak charging demand coincides with the peak grid load and increases the net peak of the system. However, this excess demand on the system in the form of charging load can be met by the installed solar photovoltaic system, as the output power of the photovoltaic system is sufficient to meet the charging demand during the peak hours of solar radiation. Thus, for the considered direct current charging station, the optimization problem of dynamic economic dispatch was formulated, since the generation and load schedules change over time. The goal of optimization is to minimize the cost of primary energy. This problem, formalized as a mixed integer linear programming problem, was solved using the interior-point solver of the GEKKO library in Python. Four scenarios for the operation of the station were worked out, in summer and winter, with a fixed and dynamic electricity tariff. According to the results of the study, it was found that in the conditions of a fixed tariff in the summer, the cost of primary energy can be reduced 2.5 times, in fact, increase profits, thanks to the sale of electricity to the public grid. In winter, the use of the optimization algorithm of the station will provide an insignificant cost savings due to low photovoltaic generation. Under the conditions of a dynamic tariff that corresponds to the prices on the day-ahead market, using the optimization algorithm, it was found that for this experimental variant of the station's operation, the maximum profit in summer will be 207.60 UAH, while in winter the cost of primary energy will be 177.47 UAH. The results obtained indicate that the operation of a charging station under dynamic tariffs in the day-ahead market in Ukraine is a promising direction for the development of charging infrastructure in the country and proves the possibility of efficient use of renewable energy sources. Thus, this paper analyzes the global experience of developing charging stations based on micro grids, the integration of renewable energy sources into them, and approaches to building electricity dispatch schedules. The financial feasibility of the station's operation in the context of the electricity market in Ukraine was also investigated

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Section: Analysis Of Literary Datamentioning

confidence: 99%

“…Battery charging and discharging must be monitored to ensure proper operation, avoiding overcharging or deep discharging. To do this, a battery management system is used to regulate the SOC, which is between 20 % and 80 %, as shown in (10):…”

Section: Fig 2 Change In Current and Voltage When Charging A Lithium-...mentioning

confidence: 99%

Optimization of power dispatching schedule of a charging station based on a micro grid with a photovoltaic module

Lavrenova,

Denysiuk

2023

AAIT

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“…It was decided to add more charging stations because Friday afternoon's extreme (up to an hour) wait time was most likely caused by long-distance commutes, holidays, and leisure travel (Jochem et al, 2016). Under the suggested demand-side management of the EVs approach, EVs were able to charge at low tariff rates (Selim et al, 2021). Selfconsumption-sufficiency balance (SCSB) was used to simulate a number of scenarios regarding the number of EV charging ports to balance self-consumption (SC) and self-sufficiency (SS).…”

Section: Introductionmentioning

confidence: 99%

Sizing requirements of the photovoltaic charging station for small electrical vehicles

Ngendahayo,

Junyent-Ferré,

Rodriguez-Bernuz

et al. 2024

Int. J. Renew. Energy Dev.

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Electric vehicles (EVs) are being introduced in Rwanda and becoming attractive for different reasons. For instance, these types of vehicles can help decrease air pollution and noise emissions. In addition, it presents an alternative to combustion engines, given the increased price of fuel resources in Rwanda and around the world. This paper presents a tool tailored to optimize the design of an electrical charging station serving small-sized electric vehicles, utilizing the algorithm to assist in sizing stand-alone mopped charging stations. The developed tool is based on the toolbox EventSim from MathWorks, which permits the combination of the simulation of discrete events (such as the arrival of customers at the station) with continuous states (such as the simulation of the charging process). The required PV power was estimated by utilizing solar resources, for the location, from renewables. Ninja. The number of customers arriving at the existing oil station is normalized to estimate the energy requirements of the mopped fleet. A Poisson distribution was proposed to model the battery discharge upon arrival, and different related parameters were evaluated through a sensitivity analysis to identify their effects on the performance of photovoltaic charging station. For the testing values, the station parameters were changed by ±25% to determine the impact of key design parameters on station performance, as well as other satisfaction measures such as average waiting time and average queue length. With a 25% increase in photovoltaic panels, the blackout period decreases by 2.12%, while a 25% decrease in photovoltaic panels causes an increase of 2.18% in the blackout period. Utilizing the energy management system (EMS), the waiting time was reduced by 8%.

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“…Renewable power integration can provide many advantages such as lowering cost and increasing system reliability, power quality, and energy efficiency [2,3]. The integration of renewables is achieved in the form of either mega-sized renewable energy parks connected to the main grid or small-sized units connected to distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Design of a Partially Grid-Connected Photovoltaic Microgrid Using IoT Technology

et al. 2021

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This study describes the design and control algorithms of an IoT-connected photovoltaic microgrid operating in a partially grid-connected mode. The proposed architecture and control design aim to connect or disconnect non-critical loads between the microgrid and utility grid. Different components of the microgrid, such as photovoltaic arrays, energy storage elements, inverters, solid-state transfer switches, smart-meters, and communication networks were modeled and simulated. The communication between smart meters and the microgrid controller is designed using LoRa communication protocol for the control and monitoring of loads in residential buildings. An IoT-enabled smart meter has been designed using ZigBee communication protocol to evaluate data transmission requirements in the microgrid. The loads were managed by a proposed under-voltage load-shedding algorithm that selects suitable loads to be disconnected from the microgrid and transferred to the utility grid. The simulation results showed that the duty cycle of LoRa and its bit rate can handle the communication requirements in the proposed PV microgrid architecture.

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Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles

Cited by 7 publications

References 49 publications

Optimization of power dispatching schedule of a charging station based on a micro grid with a photovoltaic module

Optimization of power dispatching schedule of a charging station based on a micro grid with a photovoltaic module

Sizing requirements of the photovoltaic charging station for small electrical vehicles

Design of a Partially Grid-Connected Photovoltaic Microgrid Using IoT Technology

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