A New Control Strategy for Plug-in Electric Vehicle of DC Microgrid with PV and Wind Power Integration

Bhargavi, K. M.; Jayalakshmi, N. S.

doi:10.1007/s42835-018-00013-9

Cited by 20 publications

(14 citation statements)

References 22 publications

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“…The isolated sources can be operated under different modes, such as diesel-only, wind-diesel, and wind-only. In addition, it uses different short-term energy storage technologies like batteries, ultra-capacitors, and flywheels to improve WDIM power quality, stability, and reliability [65][66][67][68].…”

Section: Invasive Weed Optimization Algorithm Backtracking Search Algorithm Controlmentioning

confidence: 99%

“…The power prediction model developed depends on an individual customer's power requirements. During huge power demand, the power prediction model acts quickly and efficiently to respond to the charging station [65,70]. The power required for charging the ith EV is based on the SOC of the vehicle, plugged time, and charging mode: The power prediction model developed depends on an individual customer's power requirements.…”

Section: Grid-connected Res-powered DC Mg For Ev Chargingmentioning

confidence: 99%

“…The power required for charging the ith EV is based on the SOC of the vehicle, plugged time, and charging mode: The power prediction model developed depends on an individual customer's power requirements. During huge power demand, the power prediction model acts quickly and efficiently to respond to the charging station [65,70]. The power required for charging the ith EV is based on the SOC of the vehicle, plugged time, and charging mode:…”

Section: Grid-connected Res-powered DC Mg For Ev Chargingmentioning

confidence: 99%

“…There are various advantages while implementing coordinated charging, which includes bus voltage regulation, frequency regulation, and island condition. In power sharing mode the utility grid absorbs energy from the DC microgrid and maintains grid balance [50,65].…”

Section: Hybrid Ac-dc Microgridmentioning

confidence: 99%

See 3 more Smart Citations

Electric Vehicles Charging Stations’ Architectures, Criteria, Power Converters, and Control Strategies in Microgrids

Abraham

Verma

Kanagaraj³

et al. 2021

Electronics

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The usage of electric vehicles (EV) has been increasing over the last few years due to a rise in fossil fuel prices and the rate of increasing carbon dioxide (CO2) emissions. EV-charging stations are powered by existing utility power grid systems, increasing the stress on the utility grid and the load demand at the distribution side. DC grid-based EV charging is more efficient than AC distribution because of its higher reliability, power conversion efficiency, simple interfacing with renewable energy sources (RESs), and integration of energy storage units (ESU). RES-generated power storage in local ESU is an alternative solution for managing the utility grid demand. In addition, to maintain the EV charging demand at the microgrid levels, energy management and control strategies must carefully power the EV battery charging unit. In addition, charging stations require dedicated converter topologies, control strategies, and need to follow set levels and standards. Based on EV, ESU, and RES accessibility, different types of microgrid architecture and control strategies are used to ensure optimum operation at the EV-charging point. Based on the above said merits, this review paper presents different RES-connected architecture and control strategies used in EV-charging stations. It highlights the importance of different charging station architectures with current power converter topologies proposed in the literature. In addition, a comparison of microgrid-based charging station architecture with its energy management, control strategies, and charging converter controls are also presented. The different levels and types of charging stations used for EV charging, in addition to controls and connectors used, are also discussed. An experiment-based energy management strategy was developed to control power flow among the available sources and charging terminals for the effective utilization of generated renewable power. The main motive of the EMS and its control is to maximize the usage of RES consumption. This review also provides the challenges and opportunities in EV-charging, and parameters in selecting appropriate charging stations.

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Section: Invasive Weed Optimization Algorithm Backtracking Search Algorithm Controlmentioning

confidence: 99%

Section: Grid-connected Res-powered DC Mg For Ev Chargingmentioning

confidence: 99%

Section: Grid-connected Res-powered DC Mg For Ev Chargingmentioning

confidence: 99%

Section: Hybrid Ac-dc Microgridmentioning

confidence: 99%

See 2 more Smart Citations

Electric Vehicles Charging Stations’ Architectures, Criteria, Power Converters, and Control Strategies in Microgrids

Abraham

Verma

Kanagaraj³

et al. 2021

Electronics

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show abstract

“…However, in the presence of these challenges, it can be stated that the primary purpose of the DC system is the efficient integration of renewable energy resources (RESs) [1]- [3]. Moreover, DC systems are also extremely convenient for novel applications, such as electric aircrafts, spacecrafts, electric vehicles, naval ships, submarines, and data centers [6]- [10]. Inherently, most emerging applications are designed to be operated as DC islanded microgrids (DC ImGs).…”

Section: Introductionmentioning

confidence: 99%

Robust Centralized Control for DC Islanded Microgrid Considering Communication Network Delay

2020

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In recent years, the application of renewable energy resources (RES) with DC output has increased, and RES integration as DC islanded microgrids (DC ImGs) has attracted the attention of many researchers. However, DC ImGs face many challenges, and voltage stability is extremely critical for efficient power distribution. This challenge becomes more prominent when exogenous disturbances, as well as time-delay, exist in the system mainly because of the communication network. In this study, we develop a mathematical model of the time-delay DC ImG. To compensate for the effect of the time-delay, three control strategies are introduced-stabilizing, robust, and robust-predictor. The controller's stability is guaranteed based on the Lyapunov-Krasovskii theorem, whereas for the exogenous disturbance rejection, the L 2-norm of the system is reduced. Furthermore, to obtain the proposed controllers' gains, linear-matrixinequality constraints are formulated. The performances of the controllers are investigated through numerous simulations, and a detailed analysis is presented.

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A Review of Architecture and Topologies Used for Electric Vehicle Charging Stations

Priyadarshini,

Yadav,

Tiwari

et al. 2023

Lecture Notes in Electrical Engineering

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A New Control Strategy for Plug-in Electric Vehicle of DC Microgrid with PV and Wind Power Integration

Cited by 20 publications

References 22 publications

Electric Vehicles Charging Stations’ Architectures, Criteria, Power Converters, and Control Strategies in Microgrids

Electric Vehicles Charging Stations’ Architectures, Criteria, Power Converters, and Control Strategies in Microgrids

Robust Centralized Control for DC Islanded Microgrid Considering Communication Network Delay

A Review of Architecture and Topologies Used for Electric Vehicle Charging Stations

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