TY - GEN
T1 - Point Estimation Method Considering Estimator Boundary Constraints to Calculate Probabilistic Power Flow
AU - Fang, Cheng
AU - Li, Jing
AU - Qin, Boyu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Point estimation method is commonly used to calculate probabilistic power flow due to its accuracy and efficiency. However, it may cause relatively large errors when dealing with some probabilistic models, such as wind farms which have cut-in and cut-out constraints. This paper proposes the idea of equal constraint transformation and power transformation to solve this problem. First, the mathematical model of electricity system is constructed. Second, the idea of power transformation is utilized to transform wind speed from asymmetry into symmetry to ensure that the estimated point locates within the limit. Third, equal constraint transformation method is used to estimate the power generated by wind farms. Finally, time-domain simulations are performed to verify the effectiveness of the proposed two methods.
AB - Point estimation method is commonly used to calculate probabilistic power flow due to its accuracy and efficiency. However, it may cause relatively large errors when dealing with some probabilistic models, such as wind farms which have cut-in and cut-out constraints. This paper proposes the idea of equal constraint transformation and power transformation to solve this problem. First, the mathematical model of electricity system is constructed. Second, the idea of power transformation is utilized to transform wind speed from asymmetry into symmetry to ensure that the estimated point locates within the limit. Third, equal constraint transformation method is used to estimate the power generated by wind farms. Finally, time-domain simulations are performed to verify the effectiveness of the proposed two methods.
KW - Point Estimation
KW - equal constraint transformation
KW - power transformation
UR - https://www.scopus.com/pages/publications/85096415632
U2 - 10.1109/APAP47170.2019.9224859
DO - 10.1109/APAP47170.2019.9224859
M3 - 会议稿件
AN - SCOPUS:85096415632
T3 - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
SP - 501
EP - 504
BT - APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019
Y2 - 21 October 2019 through 24 October 2019
ER -