Dispatching strategies of electric vehicles participating in frequency regulation on power grid: A review

Peng, Chao; Zou, Jianxiao; Lian, Lian

doi:10.1016/j.rser.2016.09.133

Cited by 99 publications

(45 citation statements)

References 41 publications

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“…The proposed load for several transformers (15,40,49,50,69,75,92,94,99,101) does not exceed 70% of their installed power at any production from the renewable energy sources. Similarly, the proposed load of the transformers 1, 40, 46 and 71 for case 3 (Table 8 and Figure 6) and 1,7,10,12,14,16,59, 61, 64, 66 and 98 for case 4 ( Table 9 and Figure 4) does not exceed their installed power capacity. Note that these nodes are the points that are expected to receive more attention for downscaling and/or line reinforcing.…”

Section: Discussionmentioning

confidence: 87%

On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

2019

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This paper proposes a calculation algorithm that creates operational points and evaluates the performance of distribution lines after reinforcement. The operational points of the line are probabilistically determined using Monte Carlo simulation for several objective functions for a given line. It is assumed that minimum voltage at all nodes has to be balanced to the maximum load served under variable distributed generation production, and to the energy produced from the intermittent renewables. The calculated maximum load, which is higher than the current load, is expected to cover the expected needs for electric vehicles charging. Following the proposed operational patterns, it is possible to have always maximum line capacity. This method is able to offer several benefits. It facilitates of network planning and the estimation of network robustness. It can be used as a tool for network planners, operators and large users. It applies to any type of network including radial and meshed.

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Section: Discussionmentioning

confidence: 87%

On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

2019

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“…The liberalization of the energy market, including electricity, has motivated all of the related entities, including power suppliers, consumers, and transmission operators, to monitor the grid condition actively and participate in its market, such as in Europe. For example, in several Nordic countries, everyone can generate electricity with minimum requirements and can participate in ancillary support to the power grid in certain periods with a high rate of tariff [45]. In addition, the TSO who is responsible for managing the grid frequency and power quality, and also for controlling the ancillary services, has a high level of concern regarding the challenges in balancing the power system [46].…”

Section: Electricity Marketmentioning

confidence: 99%

Techno Economic Analysis of Vehicle to Grid (V2G) Integration as Distributed Energy Resources in Indonesia Power System

2020

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High penetration of electric vehicles (EVs) leads to high stress on a power grid, especially when the supply cannot cover and actively respond to the unpredictable demand caused by charging EVs. In the Java-Madura-Bali (JAMALI) area, Indonesia, the capability of the grid to balance its supply and demand is very limited, and massive EV charging additionally worsens the condition because of unbalanced load profiles. Ancillary services of EVs have led to the idea of utilizing EV batteries for grid support, owing to their high-speed response to the fluctuating power system. In this study, a techno-economic analysis of the vehicle-to-grid (V2G) system in the JAMALI grid is conducted in terms of the changes in the feed-in tariff schemes, including regular, natural, and demand response tariffs. The results show that by utilizing EVs, the supply during peak hours can be reduced by up to 2.8% (for coal) and 8.8% (for gas). EVs owned by business entities as operating vehicles with a natural tariff show the highest feasibility for ancillary services, and can potentially reduce the cost of charging by up to 60.15%. From a power company perspective, V2G also potentially improves annual revenue by approximately 3.65%, owing to the replacement of the fuel.

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“…For reaping the economic benefits of V2G technology, it is necessary to develop and deploy viable business models taking factors such as minimum bid size, participating capacity, state-of-charge (SOC), etc. into consideration [3,5]. In order to create a profitable business model within this area, it is important that the service providers create value for the three main stakeholders-grid, aggregator, and EV owner.…”

Section: V2g Business Modelsmentioning

confidence: 99%

V2G—An Economic Gamechanger in E-Mobility?

Høj

Juhl

Lindegaard

2018

WEVJ

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The Vehicle-2-grid (V2G) technology enabling bidirectional charging between electric vehicles and the energy grid system for frequency regulation and load balancing has the potential of significantly improving the financial viability of electric mobility. This paper has identified that the introduction of V2G offers a plethora of potentially beneficial business models, which primarily focus on providing stability services to the energy grid and optimizing the economic benefits of owning an EV. Within these overarching categories, it is likely that several niche business models will emerge, as the current V2G concepts include the integration of intermittent renewable energy into the grid, reduction of peak load, charging optimization, and regulation of participating capacity. Most important is the balancing of the five market factors in order to create a profitable business case, as this is what makes V2G move from a potential revenue generator to a profitable business.

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Dispatching strategies of electric vehicles participating in frequency regulation on power grid: A review

Cited by 99 publications

References 41 publications

On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

On the Determination of Meshed Distribution Networks Operational Points after Reinforcement

Techno Economic Analysis of Vehicle to Grid (V2G) Integration as Distributed Energy Resources in Indonesia Power System

V2G—An Economic Gamechanger in E-Mobility?

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