Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine

被引:3
作者
Wei, Gao [1 ]
Lijuan, Chen [2 ,3 ]
Chao, Ai [1 ]
Pengfei, Zheng [1 ]
Xuan, Wu [1 ]
机构
[1] Yanshan Univ, Hebei Heavy Machinery Fluid Power Transmiss & Con, Qinhuangdao 066004, Hebei, Peoples R China
[2] Shihezi Univ, Coll Mech & Elect Engn, Shihezi 832003, Peoples R China
[3] Nanjing Inst Technol, Nanjing 211167, Peoples R China
基金
中国国家自然科学基金;
关键词
Wind turbines; Wind speed; Impellers; Hydraulic systems; Power control; Rotors; Mathematical model; Wind power generation; hydraulic systems; power control; control nonlinearities; optimal control; DIRECT-DRIVE; FLUID;
D O I
10.1109/ACCESS.2021.3065675
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wind has been admitted as one of the most promising renewable energy resources in multinational regionalization policies. However, due to the randomness and volatility of wind energy and the rigid transmission of traditional wind turbines, it is difficult to control the active power of wind turbines with high precision. Thus the hydraulic wind turbines (HWT) is taken as the research object, and the stable operation of wind turbines at a demand power point under certain wind speed conditions is realized. The mathematical model of HWTs is established, and the HWT operation characteristics are analyzed. The small signal linearization method is adopted to solve the multiplying nonlinear problems in the system, and the working area of the power transmission system to adjust the transmission power stably is analyzed. According to the demand of active power control for wind turbine, the HWT active power control strategy is proposed. However, the power response of the HWT is inconsistent with the time-varying operating point and the proposed controller fixed parameters. The controller parameter online adjustment method of system pressure and power gain is proposed. The effectiveness of the optimized control method is verified based on the semi-physical simulation experiment platform of HWT, and the consistency of active power response is achieved. At the same time, the power response characteristics are analyzed, and the HWT active power response time can satisfy the demand of electrical grid under the optimal control strategy.
引用
收藏
页码:54263 / 54275
页数:13
相关论文
共 24 条
[1]   Research on the key problems of MPPT strategy based on active power control of hydraulic wind turbines [J].
Ai, Chao ;
Bai, Wenjie ;
Zhang, Tingyuan ;
Kong, Xiangdong .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2019, 11 (01)
[2]   Active Control of Pressure Resonance in Long Pipeline of Bottom Founded Hydraulic Wind Turbines Based on Multi-Objective Genetic Algorithm [J].
Ai, Chao ;
Bai, Wenjie ;
Zhang, Tingyuan ;
Kong, Xiangdong .
IEEE ACCESS, 2018, 6 :53368-53380
[3]   Review of fluid and control technology of hydraulic wind turbines [J].
Cai, Maolin ;
Wang, Yixuan ;
Jiao, Zongxia ;
Shi, Yan .
FRONTIERS OF MECHANICAL ENGINEERING, 2017, 12 (03) :312-320
[4]   Failure rate, repair time and unscheduled O&M cost analysis of offshore wind turbines [J].
Carroll, James ;
McDonald, Alasdair ;
McMillan, David .
WIND ENERGY, 2016, 19 (06) :1107-1119
[5]   Inertia response and frequency control techniques for renewable energy sources: A review [J].
Dreidy, Mohammad ;
Mokhlis, H. ;
Mekhilef, Saad .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 69 :144-155
[6]   Wind turbine downtime and its importance for offshore deployment [J].
Faulstich, S. ;
Hahn, B. ;
Tavner, P. J. .
WIND ENERGY, 2011, 14 (03) :327-337
[7]   Maximum Power Point Tracking and Output Power Control on Pressure Coupling Wind Energy Conversion System [J].
Hoang Thinh Do ;
Tri Dung Dang ;
Hoai Vu Anh Truong ;
Kyoung Kwan Ahn .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (02) :1316-1324
[8]   Small-signal modelling and analysis of wind turbine with direct drive permanent magnet synchronous generator connected to power grid [J].
Huang, H. ;
Mao, C. ;
Lu, J. ;
Wang, D. .
IET RENEWABLE POWER GENERATION, 2012, 6 (01) :48-58
[9]   Numerical Simulation of a Wind Turbine with a Hydraulic Transmission System [J].
Jiang, Zhiyu ;
Yang, Limin ;
Gao, Zhen ;
Moan, Torgeir .
EERA DEEPWIND' 2014, 11TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2014, 53 :44-55
[10]   Feasibility Studies of a Converter-Free Grid-Connected Offshore Hydrostatic Wind Turbine [J].
Lin, Shuyue ;
Zhao, Xiaowei ;
Tong, Xin .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (04) :2494-2503