Distribution grid response monitor

Gao, Ziran; Mao, Daijiafan; Wang, Jiankang

doi:10.1049/iet-gtd.2019.0683

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…The number of EVs in the system, N BPEV , is determined as in (1) and is a function of the number of houses in the system and number of vehicles in each house. It is assumed that there are two vehicles per house.…”

Section: Number Of Bpevsmentioning

confidence: 99%

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A Novel Smart Charging Method to Mitigate Voltage Fluctuation at Fast Charging Stations

Alshareef¹

2022

Energies

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The research presented in this paper focuses on the impact of fast charging stations (FCSs) on voltage quality. When the operation of FCSs causes a voltage fluctuation and light flicker, the FCSs may be disconnected, as per the utility general standard practice, which results in financial loss represented by FCS downtime. FCS downtime can be avoided by mitigating voltage fluctuation and light flicker. Flicker mitigation devices that are available in the market are characterized by their high total annual equivalent costs. As an alternative, a novel smart charging method is proposed in this study in order to mitigate both voltage fluctuation and light flicker, whereby customers can select one of three charging services available in fast chargers: premium, regular, or economic charging power. The charging power is selected according to customer priority in relation to time and cost, which offers more flexibility than those currently available in the literature. For instance, the premium power can be selected if the time is more valuable to the customer at the time of arrival at the FCS; in contrast, the regular or economic power are utilized if the cost is more valuable than the time. The results reveal that when an FCS charges a vehicle by an uncontrolled charging method, the FCS violates the flicker tolerance especially when demand for its service is increased by 20% and beyond. In contrast, the flicker limit is not violated when vehicles are charged from an FCS as per the proposed smart charging approach, even when the penetration on the FCS is increased by 50%. The proposed smart charging method offers a compromise solution to satisfy several stakeholders with different interests. Thus, the system operator equipment, FCS investors, nearby customers, and owners of electric vehicles will not be impacted by integrating the FCSs into the distribution networks.

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Section: Number Of Bpevsmentioning

confidence: 99%

“…Fast charging stations (FCSs) are extremely important in reducing downtime due to charging, especially for ride-hailing EVs as well as commercial and automated car-sharing EVs. However, FCSs are characterized by their high power consumption from electric grids [1]. Power consumption is determined by the current drawn by EVs.…”

Section: Introduction 1motivationmentioning

confidence: 99%

A Novel Smart Charging Method to Mitigate Voltage Fluctuation at Fast Charging Stations

Alshareef¹

2022

Energies

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“…The operating and capital costs should be considered when planning FCEs on the power supply side [13]. Additional complexities could be introduced by EV's rapid loading traits [14,15] and battery health [16,17]. Fahmy et al [18] developed electric grid generic topologies where charging stations are connected to solve the challenges of EV aggregators.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Fast Charging Station for Integrated Electric-Transportation System Using Multi-Objective Approach

2022

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The usage of Electric Vehicles (EVs) for transportation is expected to continue growing, which opens up new possibilities for creating new smart grids. It offers a large-scale penetration of Fast Charging Stations (FCE) in a local utility network. A severe voltage fluctuation and increased active power loss might result from the inappropriate placement of the FCE as it penetrates the Distribution System (DST). This paper proposes a multi-objective optimisation for the simultaneous optimal allocation of FCEs, Distributed Generators (DGs), and Shunted Capacitors (SCs). The proposed Pareto dominance-based hybrid methodology incorporates the advantages of the Grey Wolf Optimiser and Particle Swarm Optimisation algorithm to minimise the objectives on 118 bus radial distribution systems. The proposed method outperforms some other existing algorithms in terms of minimising (a) active power loss costs of the distribution system, (b) voltage deviations, (c) FCE development costs, (d) EV energy consumption costs, and (e) DG costs, as well as satisfying the number of FCEs and EVs in all zones based on transportation and the electrical network. The simulation results demonstrate that the simultaneous deployment technique yields better outcomes, such as the active power loss costs of the distribution system being reduced to 53.21%, voltage deviations being reduced to 68.99%, FCE development costs being reduced to 22.56%, EV energy consumption costs being reduced to 19.8%, and DG costs being reduced to 5.1%.

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Recent Developments in the Smart Energy Systems

Wazeer

Das²

2022

Handbook of Smart Energy Systems

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Distribution grid response monitor

Cited by 8 publications

References 37 publications

A Novel Smart Charging Method to Mitigate Voltage Fluctuation at Fast Charging Stations

A Novel Smart Charging Method to Mitigate Voltage Fluctuation at Fast Charging Stations

Optimal Allocation of Fast Charging Station for Integrated Electric-Transportation System Using Multi-Objective Approach

Recent Developments in the Smart Energy Systems

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