The economics of using plug-in hybrid electric vehicle battery packs for grid storage

Peterson, Scott; Whitacre, Jay; Apt, Jay

doi:10.1016/j.jpowsour.2009.09.070

Cited by 441 publications

(226 citation statements)

References 7 publications

Supporting

Mentioning

218

Contrasting

Unclassified

Order By: Relevance

“…The costs are applied in the discharge process and only consider the degradation costs of the batteries. The values are obtained considering the studies presented in [33,34].…”

Section: Case Characterizationmentioning

confidence: 99%

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Soares

Pereira

Morais

et al. 2015

Electric Power Systems Research

View full text Add to dashboard Cite

a b s t r a c tThe high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

show abstract

“…The costs are applied in the discharge process and only consider the degradation costs of the batteries. The values are obtained considering the studies presented in [33,34].…”

Section: Case Characterizationmentioning

confidence: 99%

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Soares

Pereira

Morais

et al. 2015

Electric Power Systems Research

View full text Add to dashboard Cite

show abstract

“…The future role of electric vehicles, such as smart charging and applied as local storage, has been addressed in Refs. [16][17][18]. In these papers, the technological functions and performance of control devices are described and analyzed.…”

Section: Smart Grids: a Brief Reviewmentioning

confidence: 99%

Identifying the Factors for Ensuring Customers Actively Engaged in Smart Grids

Hull¹,

Bjørnstad²,

Boerakker³

et al. 2015

JEPE

View full text Add to dashboard Cite

Smart grids are expected to become an essential component of the future energy system. The technical potential of smart grids is far reaching and increasingly well understood, and smart grids are now in the early phases of market deployment in several regions, particularly, in Europe and the US. Less understood than the technical aspects is how and to what degree end users (i.e. the customers) are willing and able to embrace smart grid technologies and the changes in mindset associated with this transition. This article reports the main findings from an IEA (International Energy Agency)-DSM (demand side management) project addressing the role of customers in a smart grid deployment scheme, specifically how customer behavior may restrict the technical potential of smart grids from being realized. With a model of household energy behavior as the theoretical point of departure, the research builds on experiences from various smart grid pilot studies, together with consumer research within similar domains, to identify behavioral challenges that are likely to hamper adoption of "smart grid behaviors". Based on this insight, a set of recommendations to minimize customer resistance to smart grid deployment is suggested.

show abstract

“…As a result, no conclusion on the market size can be made. Since quick market saturation with a comparably low number of vehicles was shown to be an issue in several other countries [6,8], this is an important question to address.…”

Section: Model Limitationsmentioning

confidence: 99%

“…This concept termed Vehicle-to-Grid (V2G) was first mentioned in 1997 [2] and has been subject to intensive research in the last two decades. In this context, various theoretical investigations confirmed its effectiveness to improve power grid stability [1,3e7] and several fully functional prototypes where implemented [5,6,8].…”

Section: Introductionmentioning

confidence: 95%

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

The economics of using plug-in hybrid electric vehicle battery packs for grid storage

Cited by 441 publications

References 7 publications

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Cost allocation model for distribution networks considering high penetration of distributed energy resources

Identifying the Factors for Ensuring Customers Actively Engaged in Smart Grids

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

Contact Info

Product

Resources

About