Optimal Management strategies to solve issues of grid having Electric Vehicles (EV): A review

Hussain, Muhammad Tayyab; Sulaiman, Nasri; Jabir, Muhammad

doi:10.1016/j.est.2020.102114

Cited by 116 publications

(48 citation statements)

References 97 publications

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“…multistage hierarchical controlled charging-discharging outperformed the others and could be applied to future V2G integration, which could help to avoid excessive charging costs, improve power quality, and enhance the power factor. Day-ahead EV scheduling in low voltage networks was another form of controllable charging for cost minimization subject to a linearized power flow constraint (Hussain et al, 2021). Mobility behaviors such as daily trip distances, arrival and departure times were considered and represented by probability distributions.…”

Section: Ev Charging Strategiesmentioning

confidence: 99%

Optimal Sequential Distribution Planning for Low-Voltage Network With Electric Vehicle Loads

Sangob

Sirisumrannukul

2021

Front. Energy Res.

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There has been a growing presence of electric vehicles in many countries including Thailand, where many forms of incentives have been provided to build integrated infrastructure, and to encourage drivers to switch to electric vehicles (EVs). Because the immediate entry of EVs unavoidably can alter household load profiles, reinforcement on the existing system based on traditional planning may not be sufficient and can introduce over or under capital and operating expenditure over the time horizon. Therefore, if distribution systems are unreadily prepared for such an uptake, three obvious problems can be expected: 1) voltage regulation, 2) overloads of the distribution feeders and the distribution transformers, and 3) high energy loss. In this paper, an activity-based, time-sequential Monte Carlo Simulation algorithm was comprehensively developed for uncontrollable and smart charging, given annually updated information of EV locations and number of EVs, their energy consumption, hourly average vehicle speed, number of daily trips, travel distance per trip, size of EV batteries, time to arrive home and time to leave home. Minimizing the annual sum of investment and operating costs over a planning period could then be sequentially solved by a Particle Swarm Optimization (PSO) algorithm. The results from a practical 122-bus, 24 kV/400 V distribution system with different scenarios of uncontrollable and smart charging show that the sequential optimization embedded with deterministic decision can help improve customer voltage profile, keep feeder and transformer loading within acceptable operating limits and offer significant cost savings from energy loss. As far as a large number of low-voltage networks, and the associated large sum of cost savings are concerned, the proposed planning framework is practical to be applied and expected to be served as a new guideline for future implementation in Thailand.

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Section: Ev Charging Strategiesmentioning

confidence: 99%

Optimal Sequential Distribution Planning for Low-Voltage Network With Electric Vehicle Loads

Sangob

Sirisumrannukul

2021

Front. Energy Res.

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“…Thus, combined cycles with coal recorded significant decreases compared to the previous year and renewables rose significantly favored by increasing generation from PV solar and wind energy systems. It is important to indicate that extra loads created by the increasing number of electric vehicles may have adverse impacts on grid [10,11].…”

Section: Introductionmentioning

confidence: 99%

Impact on the Spanish electricity network due to the massive incorporation of electric vehicles

Arrabal-Campos¹,

Martínez-Lao²,

Montoya³

et al. 2024

RE&PQJ

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Electric vehicles, along with renewable energy, are two of the most important components for achieving a more sustainable and cleaner future. This paper study the Spanish electricity demand at the Iberian Peninsula level during the eleven-year period 2007-2018 with daily data from the Spanish electricity network, calculating the monthly daily average for each year as actual data on the use of the electricity distribution network. Having in mind this information, the number of electric vehicles (EVs) that could be charged in Spain is being studied in order to reorganize the Spanish production system. Three different scenarios are analyzed (slow, accelerated and fast charging) according to the capacity conditions of the electric distribution network, previously determining the available electric energy that varies according to the electric demand. Results obtained reveals the need of a complex reorganization of the Spanish electricity production system due to the geographical seasonality of electricity demand.

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“…The study of [8] compares different management strategies, which aim to minimize the impacts of integration of EVs into grid system and claims that centralized coordination can effectively resolve EV-associated grid issues when the addition of smooth power from renewables is included in the system. The use of centralized coordination has earlier been supported by the research work of [9] where it was shown that the location of the vehicles is an important factor for predicting adverse grid impact and that the coordinated charging Energies 2021, 14, 3506 2 of 15 solution could allow 3 to 6 times higher EV penetration as compared to uncoordinated charging.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Local Flexibility Resources to Mitigate Grid Challenges at Electric Vehicle Charging Stations

Ilieva

Bremdal

2021

Energies

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Charging of electric vehicles (EVs) on a large scale can cause problems for the grid. Utilizing local flexibility resources, such as smart charging, stationary battery, vehicle-to-grid applications, and local generation can be an efficient way to contain the grid challenges and mitigate the need for grid reinforcement. Focusing on the INSPIRIA charging station located in Norway, this paper investigates the possibility of coping with imminent grid challenges by means of local flexibility. First, the potential grid challenges are estimated with the help of Monte Carlo simulations. Second, cost and performance for the various local flexibility sources are presented. Third, an analysis of the choice of battery, charging process, and battery economy are provided. Finally, the paper discusses the optimal mix of flexibility resources to efficiently mitigate grid challenges at the INSPIRIA charging station.

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Optimal Management strategies to solve issues of grid having Electric Vehicles (EV): A review

Cited by 116 publications

References 97 publications

Optimal Sequential Distribution Planning for Low-Voltage Network With Electric Vehicle Loads

Optimal Sequential Distribution Planning for Low-Voltage Network With Electric Vehicle Loads

Impact on the Spanish electricity network due to the massive incorporation of electric vehicles

Utilizing Local Flexibility Resources to Mitigate Grid Challenges at Electric Vehicle Charging Stations

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