2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) 2020
DOI: 10.1109/cpe-powereng48600.2020.9161602
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Using V2G Technology as Virtual Active Power Filter for Flexibility Enhancement of HVDC Systems

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Cited by 4 publications
(4 citation statements)
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“…In future electricity grids, electric vehicles (EVs) constitute a large share of local community energy demand that could be intelligently controlled. In the case of vehicle-to-grid (V2G) technology, the EVs can also provide bidirectional energy flow support and be considered a sort of mobile battery system [26].…”
Section: Community Flexibility Aggregation (Cfa)mentioning
confidence: 99%
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“…In future electricity grids, electric vehicles (EVs) constitute a large share of local community energy demand that could be intelligently controlled. In the case of vehicle-to-grid (V2G) technology, the EVs can also provide bidirectional energy flow support and be considered a sort of mobile battery system [26].…”
Section: Community Flexibility Aggregation (Cfa)mentioning
confidence: 99%
“…Additional constraints need to be included in the addition of prosumer flexibility. The flexibility and rebound aware load of prosumers can be formulated with Equation (26).…”
Section: Scenario 3: Lec As Prosumer Community To Facilitate Peer-to-...mentioning
confidence: 99%
“…The rapid integration of renewable energy sources into existing power grids has ushered in a new era of energy production and consumption [1,2], prompting the need for innovative strategies to ensure grid stability and reliability [3,4]. A prominent challenge in this paradigm shift is the management of the demand and supply fluctuations arising from the intermittent nature of renewable sources [5,6]. Among the various potential solutions, the utilization of battery electric vehicles (BEVs) as a flexible grid resource has garnered considerable attention owing to their remarkable energy-storage capabilities and short response times [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…Nonetheless, they require a lot of time and effort to be implemented in order to avoid the overfitting of the data while maintaining a good accuracy. [41][42][43][44] For the case in which EV chargers are used as APFs, [45][46][47][48] they success in reducing harmonic content but they also involve a high development cost, even more if they are designed for both reducing harmonics and giving grid support. 49,50 Many control strategies focus on selective harmonic elimination (SHE) algorithms, [51][52][53][54] but most are based on multilevel converters, which despite their better harmonic response are more expensive in cost, and require more volume and weight as they consist of more elements.…”
Section: Introductionmentioning
confidence: 99%