Electric Vehicles as Frequency Containment Reserve Providers

Pavić, Ivan; Pandžić, Hrvoje; Capuder, Tomislav

doi:10.1109/energycon48941.2020.9236585

Cited by 4 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Herre et al [12] developed a two-stage stochastic optimization to maximize risk-averse EV aggregator profits in energy and FCR markets. Pavic et al [13] developed an EV aggregator model for the day-ahead market and FCR bidding to assess the potential challenges arising during such service provision. Guzman et al [14] proposed a smart EV aggregation strategy allowing aggregator participation in the reserve market to maximize aggregator profits while guaranteeing the energy required for EV transportation.…”

Section: Introductionmentioning

confidence: 99%

The Influence of State-of-Charge Estimation Errors on Electric Vehicle Aggregator Benefits in Frequency Containment Reserves

Jamroen,

Rerkpreedapong,

Dechanupaprittha

et al. 2023

IEEE EUROCON 2023 - 20th International Conference on Smart Technologies

View full text Add to dashboard Cite

In recent years, variable renewable energy sources (RES) have been integrated into electricity generation to reduce reliance on fossil fuels. RES integration into conventional power systems diminishes rotational inertia, causing frequency fluctuation vulnerability. Following the rapid increase in electric vehicle (EV) sales, an EV fleet can contribute to an automatic frequency reserve service in balancing markets through an EV aggregator. However, the benefits of an EV aggregator directly depend on the energy availability of each EV in an aggregator, represented by the state-of-charge (SoC). In the wider literature, SoC estimation is conventionally calculated using the amperehour (Coulomb counting) method. However, this approach is vulnerable to estimation errors, such as initial SoC and power measurement errors, that can positively or negatively affect aggregator benefits. Although previous studies have examined several ways to maximize aggregator benefits, none has explored the effect of SoC estimation errors on aggregator benefits. Therefore, this study aims to preliminarily explore the influence of SoC estimation errors on aggregator benefits in the frequency containment reserve (FCR) market. The regulatory framework and the FCR market are modeled in the European context. The simulation results demonstrate that SoC estimation errors affected the FCR provision period and forced charging activation, resulting in positive and negative changes in EV aggregator revenues.

show abstract

Section: Introductionmentioning

confidence: 99%