TY - GEN
T1 - Emergency services of energy storage systems for wind ramp events
AU - Habibi, Mahdi
AU - Vahidinasab, Vahid
N1 - Publisher Copyright: © 2019 IEEE.
M. Habibi and V. Vahidinasab, "Emergency Services of Energy Storage Systems for Wind Ramp Events," 2019 Smart Grid Conference (SGC), Tehran, Iran, 2019, pp. 1-6, doi: 10.1109/SGC49328.2019.9056593.
PY - 2019/12/19
Y1 - 2019/12/19
N2 - The Wind Ramp Events (WREs) are the rare sudden deviations in wind speed that jeopardize the reliability of the power system integrated high penetration of renewables. This paper considers the WREs in a Stochastic Unit Commitment (SUC) to reach a resilient model. The Energy Storage Systems (ESSs) are providing the required re-dispatches for covering the WREs, while this application does not disrupt their original schedule. The compensation of ESSs has a fast dynamic and secures the power system against blackouts. Also, the proposed model uses regular generators to provide the reserves for addressing the fluctuations of wind power in the normal situation. The model minimizes both of energy and reserve costs in the day-Ahead market. A decomposition method is used to reduce the complexity. The numerical result shows the model successfully covers the power imbalances in WREs, and also the optimal operation of in normal situation is guaranteed by deploying sufficient energy and reserves.
AB - The Wind Ramp Events (WREs) are the rare sudden deviations in wind speed that jeopardize the reliability of the power system integrated high penetration of renewables. This paper considers the WREs in a Stochastic Unit Commitment (SUC) to reach a resilient model. The Energy Storage Systems (ESSs) are providing the required re-dispatches for covering the WREs, while this application does not disrupt their original schedule. The compensation of ESSs has a fast dynamic and secures the power system against blackouts. Also, the proposed model uses regular generators to provide the reserves for addressing the fluctuations of wind power in the normal situation. The model minimizes both of energy and reserve costs in the day-Ahead market. A decomposition method is used to reduce the complexity. The numerical result shows the model successfully covers the power imbalances in WREs, and also the optimal operation of in normal situation is guaranteed by deploying sufficient energy and reserves.
KW - benders decomposition
KW - reserve provision by storage facilities
KW - stochastic unit commitment
KW - wind ramp events
KW - energy storage
KW - power generation dispatch
KW - power generation scheduling
KW - rare sudden deviations
KW - resilient model
UR - http://www.scopus.com/inward/record.url?scp=85083667424&partnerID=8YFLogxK
U2 - 10.1109/SGC49328.2019.9056593
DO - 10.1109/SGC49328.2019.9056593
M3 - Conference contribution book
AN - SCOPUS:85083667424
SN - 9781728158952
T3 - 2019 Smart Gird Conference, SGC 2019
BT - 2019 Smart Gird Conference, SGC 2019
T2 - 2019 Smart Gird Conference, SGC 2019
Y2 - 18 December 2019 through 19 December 2019
ER -
