TY - GEN
T1 - Multi-Region Thermal-Renewable Coordinated Dispatch Considering Chance-Constrained Reserve and Supply Security
AU - Cao, Zhi
AU - Li, Zi'an
AU - Wang, Liang
AU - Zhang, Xi
AU - Liu, Wenshuang
AU - Li, Yifei
AU - Wu, Zhengran
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - In multi-region power systems, renewable energy fluctuations and uneven resource distribution pose challenges to system security, especially under sharp renewable output drops. To address this issue, this paper proposes a tie-line reserve sharing constraint, where the reserve provided to other regions originates from local thermal generation capacity and is restricted by tie-line transmission capability, accurately representing the mechanism of cross-regional reserve coordination. Furthermore, a chance-constrained reserve formulation is introduced to ensure the reliability of 95% supply while avoiding the excessive conservatism of traditional robust optimization. On this basis, a multi-region day-ahead scheduling model integrating unit commitment, reserve sharing, and tie-line constraints is developed to achieve an optimal trade-off between economy and reliability. Case studies in a provincial power system in China demonstrate that the proposed model significantly improves renewable energy utilization, enhances operational flexibility, and ensures secure supply under extreme conditions, verifying its practical effectiveness for coordinated multi-regional scheduling and supply security applications.
AB - In multi-region power systems, renewable energy fluctuations and uneven resource distribution pose challenges to system security, especially under sharp renewable output drops. To address this issue, this paper proposes a tie-line reserve sharing constraint, where the reserve provided to other regions originates from local thermal generation capacity and is restricted by tie-line transmission capability, accurately representing the mechanism of cross-regional reserve coordination. Furthermore, a chance-constrained reserve formulation is introduced to ensure the reliability of 95% supply while avoiding the excessive conservatism of traditional robust optimization. On this basis, a multi-region day-ahead scheduling model integrating unit commitment, reserve sharing, and tie-line constraints is developed to achieve an optimal trade-off between economy and reliability. Case studies in a provincial power system in China demonstrate that the proposed model significantly improves renewable energy utilization, enhances operational flexibility, and ensures secure supply under extreme conditions, verifying its practical effectiveness for coordinated multi-regional scheduling and supply security applications.
KW - Chance-constrained Reserve
KW - Multi-regions
KW - Supply Security
KW - Tie-lines
UR - https://www.scopus.com/pages/publications/105043487667
U2 - 10.1109/ISCAS66217.2026.11562310
DO - 10.1109/ISCAS66217.2026.11562310
M3 - Conference contribution
AN - SCOPUS:105043487667
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 4849
EP - 4853
BT - ISCAS 2026 - 2026 IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 IEEE International Symposium on Circuits and Systems, ISCAS 2026
Y2 - 24 May 2026 through 27 May 2026
ER -