Design and Integration of the Bi-directional Electric Vehicle Charger into the Microgrid as Emergency Power Supply

Yang, Suk Woo; Li, Pengcheng; Zhao, Yuanliang; Lu, Shuai

doi:10.23919/ipec.2018.8507385

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…Therefore, these drawbacks above call for advanced communication and control systems to be installed with EVs. In the literature, there are a few explorations of applying EVs in black start, for instance, the potentials of a bi-directional EV charger based emergency power supply system was investigated through a black start procedure in [30], whereas in [31], an intelligent integrated station of EVs was put forward which owns a higher start-up rate, a better efficiency, and a more secure and economical restoration process.…”

Section: Electric Vehicles (Evs) and V2gmentioning

confidence: 99%

Feasibility Studies on Black Start Capability of Distributed Energy Resources

Yan¹,

Hong²,

Liu³

2021

The 10th Renewable Power Generation Conference (RPG 2021)

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Power systems are experiencing massive changes in their generation patterns with increasing penetration of decentralised renewable generation and decommissioning of thermal plants. Such changes in generation patterns will bring significant challenges to the black start arrangement. Conventional black start process relies on large thermal plants connected at the transmission level to energise the system using a "top-down" approach. This may no longer be adequate or applicable in future networks due to the closure of most thermal plants. This paper will investigate the feasibility of using Distributed Energy Resources (DERs) to provide a "bottom-up" black start approach. Compared with the conventional approach, using DERs for black start has potential advantages of reduced restoration time and more flexible recovery procedure. In this paper, a comprehensive review of the existing black start studies utilising DERs will be provided. Additionally, several case studies using a distribution network model containing multiple resources such as wind, micro-hydro generator, and energy storage will be presented to demonstrate the feasibility of providing black start capability by DERs. Furthermore, the associated technical issues that need to be considered to enable such a black start approach will also be discussed, along with feasible solutions and suggestions for further investigation.

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Section: Electric Vehicles (Evs) and V2gmentioning

confidence: 99%

Feasibility Studies on Black Start Capability of Distributed Energy Resources

Yan¹,

Hong²,

Liu³

2021

The 10th Renewable Power Generation Conference (RPG 2021)

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“…As the cost of lithium batteries decreases, mobile energy storage begins to develop on a large scale. It is applied to improve the quality of power supply in the power grid [5] and equipment power supply under off-grid conditions [6]. It can also be used for power supply guarantee and voltage support.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Configuration Method for Mobile Energy Storage Aimed at Enhancing the Resilience of Regional Power Grid

Ma,

Feng,

Lei

et al. 2023

J. Phys.: Conf. Ser.

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Mobile energy storage has the advantages of high mobility, environmental friendliness, and wide application scenarios. It is widely used in important load protection, outdoor emergency power supply, and distribution network capacity expansion scenarios. This paper proposes a multi-objective configuration method for flexibly supporting the optimal operation of regional distribution networks. It aims to address the configuration problem of multi-mobile energy storage supporting regional power grid operation. A multi-objective optimization operation model for renewable energy distribution networks has been established. A multi-objective optimization method combining the normalized normal constraint method and improved composite method is proposed. It can achieve optimization decision-making of mobile energy storage positions, charging and discharging states, and power at different periods. Finally, simulation analysis is conducted on the IEEE 33 node distribution system to verify the effectiveness of the control method and algorithm.

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“…It limits the costs of maintaining a centrally managed system and effectively uses the technologies available locally. In addition, technology can be a support system for the local reconstruction of the energy distribution system [8]. Due to the short-circuit conditions and the power available from electric vehicles, this technology can be used exclusively in some part of the installation, e.g.…”

Section: Introductionmentioning

confidence: 99%

The V2G Process With the Predictive Model

Mroczek

Kolodynska

2020

IEEE Access

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The paper proposes using a predictive model to optimize the use of electricity in the V2G (vehicle to grid) service. The novelty of the mechanism as a kind of model predictive control (MPC) is that it seeks an effective way of managing electric energy in an Electric Vehicle (EV). Additionally, it proposes a new method of predicting the electricity consumption which allows the battery of an electric vehicle to reconcile two sides: both the system's and the user's demand will be met at the same time. The model allows for very precise determination of the vehicle's demand for the energy related to the progressive movement, taking into account the parameters characteristic of a given vehicle model, its suspension structure and aerodynamics. In addition, the machine learning algorithm was proposed for the prediction model as a hybrid (offline and online) of supervised learning. As the first part of the research, by using Matlab/Simulink/dSpace software, a prediction of EV energy consumption was created on a selected route at different times of the day (offline data matrix). At the same time, the simulated route was travelled by a BMW i3 EV (online data matrix). Based on the developed machine learning algorithm the results of the electric energy consumption were compared. The research confirms that if the correct mechanism for prediction of energy consumption by the EV is used, it is possible to define the amount of energy needed for a V2G service. The measurement error was obtained at 0.5%. The added value is setting up the EV energy security of customers after the V2G service and a correct WIN-WIN relation between the Low Voltage grid and EV customers' needs.

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Design and Integration of the Bi-directional Electric Vehicle Charger into the Microgrid as Emergency Power Supply

Cited by 10 publications

References 9 publications

Feasibility Studies on Black Start Capability of Distributed Energy Resources

Feasibility Studies on Black Start Capability of Distributed Energy Resources

Multi-objective Configuration Method for Mobile Energy Storage Aimed at Enhancing the Resilience of Regional Power Grid

The V2G Process With the Predictive Model

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