Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility
A high penetration level of renewable energy in a power system increases variability and uncertainty, which can lead to ramping capability shortage. This makes the stable operation of a power system difficult. However, appropriate management of electric vehicles (EVs) can overcome such difficulties....
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017-12-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/10/12/2028 |
| _version_ | 1828348538758627328 |
|---|---|
| author | Dam Kim Hungyu Kwon Mun-Kyeom Kim Jong-Keun Park Hyeongon Park |
| author_facet | Dam Kim Hungyu Kwon Mun-Kyeom Kim Jong-Keun Park Hyeongon Park |
| author_sort | Dam Kim |
| collection | DOAJ |
| description | A high penetration level of renewable energy in a power system increases variability and uncertainty, which can lead to ramping capability shortage. This makes the stable operation of a power system difficult. However, appropriate management of electric vehicles (EVs) can overcome such difficulties. In this study, EVs were applied as a flexible ramping product (FRP), and a method was developed to increase the system ramping capability. When increasing the FRP to the amount required for the system, the effect on transmission lines cannot be neglected. Thus, the required FRP considering transmission constraints is calculated separately for each zone to secure deliverability. To make adjustment possible, the zonal available capacity is calculated by considering the probabilities of the location and the plugged and charged states of EVs. The applicability of EVs as an FRP resource is examined, and the results showed that they can be used at a more significant level considering the transmission constraints. |
| first_indexed | 2024-04-14T00:56:15Z |
| format | Article |
| id | doaj.art-60aef9d06b1a4c1fa0aca1502c0444fe |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-14T00:56:15Z |
| publishDate | 2017-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-60aef9d06b1a4c1fa0aca1502c0444fe2022-12-22T02:21:36ZengMDPI AGEnergies1996-10732017-12-011012202810.3390/en10122028en10122028Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational FlexibilityDam Kim0Hungyu Kwon1Mun-Kyeom Kim2Jong-Keun Park3Hyeongon Park4Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaRaon Friends, 267 Simin-daero, Dongan-gu, Anyang 14054, KoreaDepartment of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, KoreaDepartment of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaDepartment of Statistics, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, KoreaA high penetration level of renewable energy in a power system increases variability and uncertainty, which can lead to ramping capability shortage. This makes the stable operation of a power system difficult. However, appropriate management of electric vehicles (EVs) can overcome such difficulties. In this study, EVs were applied as a flexible ramping product (FRP), and a method was developed to increase the system ramping capability. When increasing the FRP to the amount required for the system, the effect on transmission lines cannot be neglected. Thus, the required FRP considering transmission constraints is calculated separately for each zone to secure deliverability. To make adjustment possible, the zonal available capacity is calculated by considering the probabilities of the location and the plugged and charged states of EVs. The applicability of EVs as an FRP resource is examined, and the results showed that they can be used at a more significant level considering the transmission constraints.https://www.mdpi.com/1996-1073/10/12/2028electric vehicles (EVs)flexible ramping capacitypower system operationvariabilityuncertaintyflexibility |
| spellingShingle | Dam Kim Hungyu Kwon Mun-Kyeom Kim Jong-Keun Park Hyeongon Park Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility Energies electric vehicles (EVs) flexible ramping capacity power system operation variability uncertainty flexibility |
| title | Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility |
| title_full | Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility |
| title_fullStr | Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility |
| title_full_unstemmed | Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility |
| title_short | Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility |
| title_sort | determining the flexible ramping capacity of electric vehicles to enhance locational flexibility |
| topic | electric vehicles (EVs) flexible ramping capacity power system operation variability uncertainty flexibility |
| url | https://www.mdpi.com/1996-1073/10/12/2028 |
| work_keys_str_mv | AT damkim determiningtheflexiblerampingcapacityofelectricvehiclestoenhancelocationalflexibility AT hungyukwon determiningtheflexiblerampingcapacityofelectricvehiclestoenhancelocationalflexibility AT munkyeomkim determiningtheflexiblerampingcapacityofelectricvehiclestoenhancelocationalflexibility AT jongkeunpark determiningtheflexiblerampingcapacityofelectricvehiclestoenhancelocationalflexibility AT hyeongonpark determiningtheflexiblerampingcapacityofelectricvehiclestoenhancelocationalflexibility |