TY - GEN
T1 - Research on Provincial Reliability Evaluation Considering Multi-Cycle Trading Strategies of Renewable Energy
AU - Zhang, Yuhan
AU - Wang, Kai
AU - Zhou, Qingqing
AU - Wang, Li
AU - Xie, Liushuangfei
AU - Ding, Tao
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - It has become a consensus to develop renewable energy in the power system vigorously in the context of global warming. Promoting renewable energy participation in inter-provincial trading has become a trend in interconnected systems. However, the inherent uncertainty of renewable energy presents significant challenges to the power balance. To address this, this paper proposes a reliability assessment method for power systems that incorporates multi-cycle inter-provincial trading strategies of renewable energy. For different transaction entities, optimization-based models minimizing load-cutting levels and the convergence criterion for its solution are proposed. The validity of this method is demonstrated through case studies in the northwest region of China. This study is expected to provide a reference for enhancing trading strategies and mechanisms to guarantee the operational quality of power systems.
AB - It has become a consensus to develop renewable energy in the power system vigorously in the context of global warming. Promoting renewable energy participation in inter-provincial trading has become a trend in interconnected systems. However, the inherent uncertainty of renewable energy presents significant challenges to the power balance. To address this, this paper proposes a reliability assessment method for power systems that incorporates multi-cycle inter-provincial trading strategies of renewable energy. For different transaction entities, optimization-based models minimizing load-cutting levels and the convergence criterion for its solution are proposed. The validity of this method is demonstrated through case studies in the northwest region of China. This study is expected to provide a reference for enhancing trading strategies and mechanisms to guarantee the operational quality of power systems.
KW - mid-and-long term power market
KW - reliability analysis
KW - renewable energy sources
KW - spot power market
UR - https://www.scopus.com/pages/publications/105002211760
U2 - 10.1109/APPEEC61255.2024.10922471
DO - 10.1109/APPEEC61255.2024.10922471
M3 - 会议稿件
AN - SCOPUS:105002211760
T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC
BT - 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference
PB - IEEE Computer Society
T2 - 16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024
Y2 - 25 October 2024 through 27 October 2024
ER -
