Impact of Vehicle-to-Grid Technology on the Reliability of Distribution Systems

Ammous, Mustafa; Khater, Mohamad; Al-Muhaini, Mohammad

doi:10.1109/ieeegcc.2017.8448072

Cited by 10 publications

(7 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An MES integrated with electrical vehicles, which are mobile energy storage systems, has been considered in reliability evaluation. The influence of V2G (vehicle to grid) technology on distribution system reliability is studied in [13], using the 24 h available energy model of electric vehicles. The aforementioned works [10][11][12][13] clearly show the key role storage systems play in supporting MES reliability and flexibility.…”

Section: Mes Reliability Assessment Overviewmentioning

confidence: 99%

Reliability Optimization of Multi-Energy System Considering Energy Storage Devices Effects under Weather Uncertainties

Liao

Parisio

2022

Energies

View full text Add to dashboard Cite

Multi-energy systems (MES) allow various energy forms, such as electricity, gas, and heat, to interact and achieve energy transfer and mutually benefit, reducing the probability of load cutting in the event of a failure, increasing the energy utilization efficiency, and improving the reliability and robustness of the overall energy supply system. Since energy storage systems can help to restore power in the case of failure and store the surplus energy to enhance the flexibility of MES, this work provides a methodology for reliability optimization, considering different energy storage configuration schemes under weather uncertainties. First of all, a reliability evaluation model of a multi-energy system under weather uncertainties based on a sequential Monte Carlo simulation is established. Then, the reliability optimization problem is formulated as a multi-objective optimization problem to minimize the reliability index, SAIDI (system average interruption duration index), and the reliability cost. Finally, a case study implemented on a typical MES layout is used to demonstrate the proposed methodology. A comparative analysis of three widely adopted multi-objective metaheuristic algorithms, including NSGA-II (non-dominated sorting genetic algorithm II), MOPSO (multiple objective particle swarm optimization), and SPEA2 (strength Pareto evolution algorithm 2), is performed to validate the effectiveness of the proposed method. The simulation results show that the NSGA-II algorithm leads to better optimal values and converges the fastest compared to the other two methods.

show abstract

Section: Mes Reliability Assessment Overviewmentioning

confidence: 99%

Reliability Optimization of Multi-Energy System Considering Energy Storage Devices Effects under Weather Uncertainties

Liao

Parisio

2022

Energies

View full text Add to dashboard Cite

show abstract

“…Hence, the customers will not experience any outage in their power supply, and the Diesel generator will not reach its generation limit, thus providing enough headroom for further unforeseen load spikes. In this sub-section, the reliability indices that would be affected by the outage are calculated [12,[18][19]. The indices that are used are:…”

Section: B Reliability Indicesmentioning

confidence: 99%

Improving the Operational Reliability of Wind Farms with Vehicle-to-Grid

Han

Challen

Skarvelis‐Kazakos

2021

2021 56th International Universities Power Engineering Conference (UPEC)

View full text Add to dashboard Cite

This paper investigates the integration of a wind farm with electric vehicles capable of Vehicle-to-Grid operation, and the impact of this integration on the reliability of the energy supply to the load. The operational reliability of wind farms was considered, in order to predict the outage probability. The operational reliability model was implemented on a small power system, and a case study analysis was undertaken of the influence of Vehicle-to-Grid in the event of an outage at the wind farm. Several reliability indices were calculated for the case study. Results show a significant improvement of the system's reliability by the presence of Vehicle-to-Grid functionality, since it is able to compensate for the power lost during a wind farm outage.

show abstract

“…In this paper, different reliability indices including the expected duration of curtailment and expected energy not supplied are calculated to investigate the impact of different penetration levels of electric vehicles on the reliability and availability of the distribution network. In [18], the impact of the technology associated with the connection of electric vehicles to the power system on the reliability and performance of the distribution network is investigated. e reliability indices of the power system before and after electric vehicle addition to the power system are calculated during a year.…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Speed and Temperature Variation on the Electric Vehicles Reliability

Ghaedi

Mahmoudian

Sedaghati

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

The transportation system contains many fossil fuel-based automobiles equipped with the internal combustion engine that results in the pollution of the environment and greenhouse gas emissions. In recent years, to replace these automobiles with clean choices, electric vehicles are developed. So far, three kinds of electric vehicles including hybrid, plug-in, and full-electric vehicles are introduced. In the hybrid and plug-in electric vehicles, both the internal combustion engine and electric motor are used to move the vehicle. However, in the full-electric vehicle, the movement of the vehicle is done only by the electric motor. Due to the development of the electric vehicles in the transportation system, different aspects of these vehicles such as reliability must be studied. The reliability indices of the electric vehicles are affected by the failure rate of the composed components. Thus, to exactly determine the reliability performance of the electric vehicles, the failure rate of the main composed components affected by different parameters such as speed of the vehicle and temperature is taken into account. In the present paper, to accurately study the reliability of all-electric vehicles, the impact of variation in the temperature and vehicle speed on the failure rate of the composed components including battery, inverter, electric motor, and other static and rotation parts of the full-electric vehicle and consequently the failure rate of the vehicle is investigated. To determine the impact of operating temperature on the failure rate of composed components, the Arrhenius law is proposed. Based on the variation in the vehicle failure rate in terms of the vehicle speed and temperature, the reliability of the electric vehicle at different conditions is determined. It is concluded from numerical results performed in the paper that the failure rate of the understudied full-electric vehicle varies between 3.5 and 6 failures per year when the temperature varies between 0 and 50°C and the vehicle speed varies between 0 and 200 km/h.

show abstract

Impact of Vehicle-to-Grid Technology on the Reliability of Distribution Systems

Cited by 10 publications

References 12 publications

Reliability Optimization of Multi-Energy System Considering Energy Storage Devices Effects under Weather Uncertainties

Reliability Optimization of Multi-Energy System Considering Energy Storage Devices Effects under Weather Uncertainties

Improving the Operational Reliability of Wind Farms with Vehicle-to-Grid

The Impact of the Speed and Temperature Variation on the Electric Vehicles Reliability

Contact Info

Product

Resources

About