A Bilateral Decision Support Platform for Public Charging of Connected Electric Vehicles

Hariri, Abla O.; Hariri, Mohamad El; Youssef, Tarek; Mohammed, Osama A.

doi:10.1109/tvt.2018.2879927

Cited by 22 publications

(6 citation statements)

References 15 publications

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“…In order to ensure that the work of car charging facilities has been maintained a relatively reliable and safe situation, in accordance with relevant technical norms and regulations, after several years of unremitting efforts by professionals, a method of compatibility and interoperability of components and equipment for developing automotive charging facilities is formed [1][2].The experimental data show that the leakage current limit is 30mA and the maximum error is 1.1 Ma. The experimental results show that the controller on the cable can provide protection in case of cable leakage, and the measurement error is less than ± 5mA [3][4][5][6].…”

Section: Introductionmentioning

confidence: 92%

Automated test methods for standard products (communication protocols) for electric vehicle charging devices

Zhang,

Li,

Bai

2023

International Conference on Mechatronics and Intelligent Control (ICMIC 2023)

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Section: Introductionmentioning

confidence: 92%

Automated test methods for standard products (communication protocols) for electric vehicle charging devices

Zhang,

Li,

Bai

2023

International Conference on Mechatronics and Intelligent Control (ICMIC 2023)

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“…This paper [178] works on risk-averse transmission path selection to improve data communication's reliability and resiliency in Advanced metering infrastructure (AMI) applications for smart grids. Finally, in [179], a communication interface for end-use applications outlined in the 2030 standard is used in a hierarchical multi-agent management system for EV integration with the grid.…”

Section: Ieee Std 2030: Guide For Control and Automation Installation...mentioning

confidence: 99%

A Review of Microgrid Energy Management and Control Strategies

Ahmad

Shafiullah

Ahmed³

et al. 2023

IEEE Access

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Several issues have been reported with the expansion of the electric power grid and the increasing use of intermittent power sources, such as the need for expensive transmission lines and the issue of cascading blackouts, which can adversely affect critical infrastructures. Microgrids (MG) has been widely accepted as a viable solution to improve grid reliability and resiliency, ensuring continuous power supply to loads. However, to ensure the effective operation of the Distributed Energy Resources (DER), Microgrids need to have Energy Management and Control Systems (EMCS). Therefore, considerable research has been conducted to achieve smooth profiles in grid parameters during operation at optimum running cost. This paper aims to provide a review of EMCS techniques that have evolved in recent years. Firstly, the fundamentals of microgrids are discussed for a general overview of the field. Then, a critical literature review is undertaken for the various methods applied for EM optimization in microgrid applications. Multiple factors have been explored in the objective functions throughout this review, including MG daily operational costs, energy storage degradation, revenue through trading with the grid or other parties, and Greenhouse Gas (GHG) emissions. A review of control systems has been conducted next by categorizing them based on the different applications in MGs for stable operation. This paper also focuses on IEEE standards related to MG operation and control to facilitate other researchers to build upon a standardized set of rules and to enhance the interoperability of the diverse EMCS techniques.

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“…The EV agent was modeled based on a fuzzy logic expert system for services requesting to the high-level agent. The work was extended with the contribution of communication network framework for managing the mobile prosumers in a pre-connection electric grid [15]. In [16], a fuzzy logic-based autonomous controller was proposed for EVs in residential distribution systems.…”

Section: Related Work a Recent Literaturementioning

confidence: 99%

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

2019

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Smart grid is expected to support electric vehicles parking lots with the existing power line infrastructure. In order to support all electric-vehicles (EVs) users to complete their charging needs before leaving the parking lot, the power grid requires that the charging demands of EVs should be within the allowable power limit to avoid the grid overloading. This paper proposes a fuzzy logic inference based algorithm (FLIA) to manage the available power efficiently for EVs in the parking lot. The problem is mathematically formulated and solved by the credibility of the fuzzy inference mechanism to control charging and discharging of the EVs. The key idea is to introduce the fuzzy inference mechanism that evaluates several uncertain input parameters from the electric grid and from EVs to obtain an adequately accurate charging or discharging decision for each of the connected EVs. The proposed scheme is applied to a parking lot with different parking capacities and compared with the conventional-based systems. The simulation results demonstrated the feasibility and effectiveness of the proposed algorithm when dealing with the available power management and satisfying the EV user's requirements. INDEX TERMS Electric vehicles, fast charging stations, fuzzy logic inference, parking lot, power management.

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A Bilateral Decision Support Platform for Public Charging of Connected Electric Vehicles

Cited by 22 publications

References 15 publications

Automated test methods for standard products (communication protocols) for electric vehicle charging devices

Automated test methods for standard products (communication protocols) for electric vehicle charging devices

A Review of Microgrid Energy Management and Control Strategies

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

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