TY - GEN
T1 - Self-scheduling of price-taker hydro plant based on aggregated unit model
AU - Bai, Jie
AU - Zhai, Qiaozhu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Self-scheduling of price-taker hydro plant based on the aggregated unit model is formulated to determine the optimal bidding strategy in this paper. The goal of price-taker producers is to maximize their benefits without considering the power balance in the system. Different from the aggregated unit model proposed in literature, a two-dimensional piecewise linear approximation based model is established for the relationship among the maximum power generation level of the plant, total water discharge and average storage of the reservoir. By using this aggregated unit model, the self-scheduling of price-taker hydro plant can be greatly simplified since all the individual unit related constraints are removed. Numerical testing results demonstrate the effectiveness of the method.
AB - Self-scheduling of price-taker hydro plant based on the aggregated unit model is formulated to determine the optimal bidding strategy in this paper. The goal of price-taker producers is to maximize their benefits without considering the power balance in the system. Different from the aggregated unit model proposed in literature, a two-dimensional piecewise linear approximation based model is established for the relationship among the maximum power generation level of the plant, total water discharge and average storage of the reservoir. By using this aggregated unit model, the self-scheduling of price-taker hydro plant can be greatly simplified since all the individual unit related constraints are removed. Numerical testing results demonstrate the effectiveness of the method.
UR - https://www.scopus.com/pages/publications/85044975580
U2 - 10.1109/COASE.2017.8256298
DO - 10.1109/COASE.2017.8256298
M3 - 会议稿件
AN - SCOPUS:85044975580
T3 - IEEE International Conference on Automation Science and Engineering
SP - 1398
EP - 1402
BT - 2017 13th IEEE Conference on Automation Science and Engineering, CASE 2017
PB - IEEE Computer Society
T2 - 13th IEEE Conference on Automation Science and Engineering, CASE 2017
Y2 - 20 August 2017 through 23 August 2017
ER -