TY - JOUR
T1 - An Approach to Divide Wind Power Capacity Between Day-Ahead Energy and Intraday Reserve Power Markets
AU - Tavakkoli, Mehdi
AU - Fattaheian-Dehkordi, Sajjad
AU - Pourakbari-Kasmaei, Mahdi
AU - Liski, Matti
AU - Lehtonen, Matti
PY - 2022/3
Y1 - 2022/3
N2 - Wind power producers have recently gained a significant penetration in the electric power network, which might cause some challenges for the system operation due to the uncertainties in the generated power. In this way, wind power owners may offer different services, such as providing reserve capacity besides their conventional role of delivering just energy. Currently, conventional generators are the main responsible for providing some reserve in case of uncertainty in renewable generation and demand changes. Therefore, this article introduces a novel approach that allows wind power producers to participate in both energy and reserve markets alongside conventional generators. A two-stage stochastic programming model is deployed for this purpose and the proposed approach is examined on the IEEE RTS 24-bus. The simulation results demonstrate that for ensuring a higher level of reliability by the suggested scheme, both conventional generators and wind power producers will receive more revenue in both markets, although the demands should pay more.
AB - Wind power producers have recently gained a significant penetration in the electric power network, which might cause some challenges for the system operation due to the uncertainties in the generated power. In this way, wind power owners may offer different services, such as providing reserve capacity besides their conventional role of delivering just energy. Currently, conventional generators are the main responsible for providing some reserve in case of uncertainty in renewable generation and demand changes. Therefore, this article introduces a novel approach that allows wind power producers to participate in both energy and reserve markets alongside conventional generators. A two-stage stochastic programming model is deployed for this purpose and the proposed approach is examined on the IEEE RTS 24-bus. The simulation results demonstrate that for ensuring a higher level of reliability by the suggested scheme, both conventional generators and wind power producers will receive more revenue in both markets, although the demands should pay more.
KW - Wind power producers
KW - Energy market
KW - Optimization programming
KW - Reserve market
UR - http://www.scopus.com/inward/record.url?scp=85096821842&partnerID=8YFLogxK
U2 - 10.1109/JSYST.2020.3032656
DO - 10.1109/JSYST.2020.3032656
M3 - Article
SN - 1932-8184
VL - 16
SP - 1123
EP - 1134
JO - IEEE Systems Journal
JF - IEEE Systems Journal
IS - 1
ER -