Vehicle-to-Grid Regulation Reserves Based on a Dynamic Simulation of Mobility Behavior

Dallinger, David; Krampe, Daniel; Wietschel, Martin

doi:10.1109/tsg.2011.2131692

Cited by 227 publications

(111 citation statements)

References 6 publications

Supporting

Mentioning

100

Contrasting

Unclassified

Order By: Relevance

“…The cycle stability Z is a quantity which depends on a large number of parameters such as C-rate, DOD, temperature, humidity and time and which strongly varies among different battery chemistries [18]. It is therefore not possible to reliably model the cyclic lifetime so that many studies simply assume a fixed number for Z [7,9,11,12]. To at least account for the important dependency of battery lifetime from the DOD, calculations in this paper are based on a functional relation between Z and DOD.…”

Section: Costsmentioning

confidence: 99%

A price-responsive dispatching strategy for Vehicle-to-Grid: An economic evaluation applied to the case of Singapore

Pelzer¹,

Ciechanowicz²,

Aydt³

et al. 2014

Journal of Power Sources

View full text Add to dashboard Cite

A charging and dispatching strategy for optimizing profits from V2G is presented. This optimization strategy builds on temporally resolved electricity market data. A case study shows that this method turns a S$ 1000 annual loss into a S$ 130 profit. Sensitivity analyses indicate potential for further increase of profitability. Employing this strategy in other countries is assumed to yield much greater profits. a r t i c l e i n f o b s t r a c tEmploying electric vehicles as short-term energy storage could improve power system stability and at the same time create a new income source for vehicle owners. In this paper, the economic viability of this concept referred to as Vehicle-to-Grid is investigated. For this purpose, a price-responsive charging and dispatching strategy built upon temporally resolved electricity market data is presented. This concept allows vehicle owners to maximize returns by restricting market participation to profitable time periods. As a case study, this strategy is then applied using the example of Singapore. It is shown that an annual loss of S$ 1000 resulting from a non-price-responsive strategy as employed in previous works can be turned into a S$ 130 profit by applying the price-responsive approach. In addition to this scenario, realistic mobility patterns which restrict the temporal availability of vehicles are considered. In this case, profits in the range of S$ 21eS$ 121 are achievable. Returns in this order of magnitude are not expected to make Vehicle-to-Grid a viable business case, sensitivity analyses, however, show that improved technical parameters could increase profitability. It is further assumed that employing the priceresponsive strategy to other national markets may yield significantly greater returns.

show abstract

Section: Costsmentioning

confidence: 99%

A price-responsive dispatching strategy for Vehicle-to-Grid: An economic evaluation applied to the case of Singapore

Pelzer¹,

Ciechanowicz²,

Aydt³

et al. 2014

Journal of Power Sources

View full text Add to dashboard Cite

show abstract

“…E. g. Dallinger et al (2011) concludes that under today's condition in Germany vehicle to grid is only profitable for primary control and negative control reserve in the secondary control reserve and tertiary control reserve markets, whereas it is not profitable for positive control. However, according to Kempton and Tomić (2005a), vehicle to grid with ancillary services has been already profitable in the US in 2005.…”

Section: A Techno-economic Analysis Of Vehicle To Grid Competitivenessmentioning

confidence: 99%

How to Integrate Electric Vehicles in the Future Energy System?

Jochem

Kaschub

Fïchtner

2013

Evolutionary Paths Towards the Mobility Patterns of the Future

View full text Add to dashboard Cite

This paper has been prepared for the "final conference of the socio-economic research of the 'Model region Electric Mobility Bremen/Oldenburg'", 18 th and 19 th August 2011 at Jacobs University in Bremen. AbstractMain challenges within the energy system of tomorrow are more volatile, less controllable and at the same time more decentralized electricity generation. Furthermore, the increasing research and development activities on electric vehicles (EV) make a significant share of electric vehicles within the passenger car fleet in 2030 more and more likely. This will lead to a further increase of power demand during peak hours.Answers to these challenges are seen, besides measures on the electricity supply side (e. g. investing in more flexible power plants or storage plants), in (1) grid extensions, which are expensive and time consuming due to local acceptance, and in (2) influencing electricity demand by different demand side management (DSM) approaches. Automatic delayed charging of electric vehicles as one demand side management approach can help to avoid peaks in household load curves and, even more, increase the low electricity demand during the night. This facilitates integrating more volatile regenerative power sources, too.Bidirectional charging (V2G) and storing of electricity extends the possibilities to integrate electric vehicles into the grid. But, comparing electricity storage costs and availability of electric vehicles with costs and technical conditions of other technologies leads to the conclusion, that vehicle to grid (V2G) is currently not competitive -but might be competitive in the future, e. g. within the electricity reserve market.In summary, the paper gives an overview of the future electricity market with the focus on electric vehicles and argues for automatic delayed charging of electric vehicles due to economic and technical reasons.

show abstract

“…Several technical solutions are possible: maximization of the integration of renewable energy sources (Kempton and Tomić, 2005b;Budischak et al, 2013;Pecas Lopes and Rocha Almeida, 2009), minimization of the total fleet charging costs by benefiting from market price variations (Peterson et al, 2010b;Hoke et al, 2011;Sortomme and El-Sharkawi, 2012), controlling grid voltage (Clement-Nyns et al, 2011) and controlling frequency (Han et al, 2010;Sortomme and El-Sharkawi, 2012;Kamboj et al, 2011;Dallinger et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Participation of an electric vehicle fleet to primary frequency control in France

Codani

Petit

Pérez

2015

IJEHV

View full text Add to dashboard Cite

Using electric vehicles (EV) as distributed storage units could be a solution to take advantage of the good availability of EVs and reduce their total cost of ownership. The scientific literature features frequency control as one of the most profitable electric market for EV fleets. This paper presents an economic evaluation of the expected remuneration for a fleet of EVs participating to primary frequency control in France in 2020. First, the modeling of a French EV fleet is addressed. Simulations of the participation of this fleet to the French primary frequency control market are then performed. Two regulation strategies are considered: in the first one, only unidirectional power exchanges are allowed between EVs and the grid, while in the second one bidirectional exchanges are allowed. Results show that the expected remuneration is highly dependent on the ability to charge at work, the power level of the charging stations, and the bidirectional capabilities of the cars.

show abstract

Vehicle-to-Grid Regulation Reserves Based on a Dynamic Simulation of Mobility Behavior

Cited by 227 publications

References 6 publications

A price-responsive dispatching strategy for Vehicle-to-Grid: An economic evaluation applied to the case of Singapore

A price-responsive dispatching strategy for Vehicle-to-Grid: An economic evaluation applied to the case of Singapore

How to Integrate Electric Vehicles in the Future Energy System?

Participation of an electric vehicle fleet to primary frequency control in France

Contact Info

Product

Resources

About