TY - GEN
T1 - Basics Non-Time Series Production Scale Semantic Wind Power Consumption Evaluation Method
AU - Gang, Wang
AU - Yang, Liu
AU - Defeng, Chen
AU - Zhibin, Yang
AU - Hongbi, Geng
AU - Huan, Li
AU - Shuai, Ren
AU - Tong, Li
AU - Tai, Zhai
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Accurate accommodation evaluation is important for the development planning of wind power. However, it is difficult to obtain the detailed time-sequence data of wind power output during planning stage and the typical evaluation method of time-sequence accommodation is difficult to be applied, so it is necessary to research the evaluation method of accommodation capacity based on the limited wind resource probabilistic; characteristic data. This paper proposed a functional minimization model which took maximum wind power accommodation as target based on probability production simulation and a practical evaluation algorithm based on heuristic; method. This method only needed the probability distribution information of wind resource and could solve the problem of lacking detailed wind power data during planning stage, which also had a fast computation speed. Based on the actual running data in 2018 and planning data in 2020 of a large wind power base in northern China, the simulation analysis was carried out. The actual wind power accommodation results in 2018 were compared with the simulation results, which could validity the correctness of the proposed method. Finally, according to the planning data in 2020, this paper analyzed the saturation trend of wind power accommodation and installed capacity, and quantitatively studied the promoting effect of flexible measures on wind power accommodation, which could provide some suggestions for wind power planning.
AB - Accurate accommodation evaluation is important for the development planning of wind power. However, it is difficult to obtain the detailed time-sequence data of wind power output during planning stage and the typical evaluation method of time-sequence accommodation is difficult to be applied, so it is necessary to research the evaluation method of accommodation capacity based on the limited wind resource probabilistic; characteristic data. This paper proposed a functional minimization model which took maximum wind power accommodation as target based on probability production simulation and a practical evaluation algorithm based on heuristic; method. This method only needed the probability distribution information of wind resource and could solve the problem of lacking detailed wind power data during planning stage, which also had a fast computation speed. Based on the actual running data in 2018 and planning data in 2020 of a large wind power base in northern China, the simulation analysis was carried out. The actual wind power accommodation results in 2018 were compared with the simulation results, which could validity the correctness of the proposed method. Finally, according to the planning data in 2020, this paper analyzed the saturation trend of wind power accommodation and installed capacity, and quantitatively studied the promoting effect of flexible measures on wind power accommodation, which could provide some suggestions for wind power planning.
KW - Functional Minimization Model
KW - Limited Data Source
KW - Probabilistic
KW - Production Simulation
KW - Wind Power Accommodation
UR - http://www.scopus.com/inward/record.url?scp=85065885478&partnerID=8YFLogxK
U2 - 10.1109/ICSCSE.2018.00090
DO - 10.1109/ICSCSE.2018.00090
M3 - Conference contribution
AN - SCOPUS:85065885478
T3 - Proceedings - 2018 3rd International Conference on Smart City and Systems Engineering, ICSCSE 2018
SP - 423
EP - 426
BT - Proceedings - 2018 3rd International Conference on Smart City and Systems Engineering, ICSCSE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Smart City and Systems Engineering, ICSCSE 2018
Y2 - 29 December 2018 through 30 December 2018
ER -
