TY - GEN
T1 - Risk-Constrained Day-Ahead Scheduling for Wind Power and Pumped Hydro Storage Based on Information-Gap Decision Theory
AU - Zhao, Wenjie
AU - Yang, Meng
AU - Liu, Junhui
AU - Deng, Zhenli
AU - He, Mingkang
AU - Wu, Xiong
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - In recent years, wind power and other renewable energy sources have been connected to the large-scale power grid. However, output power of the wind turbine is greatly affected by wind speed, resulting in strong variability and intermittence, with a certain degree of uncertainty. At the same time, due to the uncertainty of load demand in day-ahead scheduling, the power system scheduling model is changed from the deterministic model to the uncertain model. In this paper, Information-gap decision theory (IGDT) is employed to deal with the uncertainties from wind power and load demand. According to the risk preference of decision makers, a robustness model for risk-averse strategy and an opportunity model for risk-seek strategy are established for wind-powered pumped hydro storage system. Finally, the case study based on the improved IEEE-30 node system verifies the effectiveness of the IGDT-based model. The results indicate that scheduling plan and the maximum uncertainty acceptable to the system can be obtained on the premise of meeting expected costs.
AB - In recent years, wind power and other renewable energy sources have been connected to the large-scale power grid. However, output power of the wind turbine is greatly affected by wind speed, resulting in strong variability and intermittence, with a certain degree of uncertainty. At the same time, due to the uncertainty of load demand in day-ahead scheduling, the power system scheduling model is changed from the deterministic model to the uncertain model. In this paper, Information-gap decision theory (IGDT) is employed to deal with the uncertainties from wind power and load demand. According to the risk preference of decision makers, a robustness model for risk-averse strategy and an opportunity model for risk-seek strategy are established for wind-powered pumped hydro storage system. Finally, the case study based on the improved IEEE-30 node system verifies the effectiveness of the IGDT-based model. The results indicate that scheduling plan and the maximum uncertainty acceptable to the system can be obtained on the premise of meeting expected costs.
KW - combined system
KW - information-gap decision theory
KW - pumped hydro storage
KW - uncertainty
KW - wind power
UR - https://www.scopus.com/pages/publications/85128162686
U2 - 10.1109/EI252483.2021.9713283
DO - 10.1109/EI252483.2021.9713283
M3 - 会议稿件
AN - SCOPUS:85128162686
T3 - 5th IEEE Conference on Energy Internet and Energy System Integration: Energy Internet for Carbon Neutrality, EI2 2021
SP - 2076
EP - 2081
BT - 5th IEEE Conference on Energy Internet and Energy System Integration
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021
Y2 - 22 October 2021 through 25 October 2021
ER -
