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

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...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Gao Wei, Chen Lijuan, Ai Chao, Zheng Pengfei, Wu Xuan
التنسيق: مقال
اللغة:English
منشور في: IEEE 2022-01-01
سلاسل:IEEE Access
الموضوعات:
الوصول للمادة أونلاين:https://ieeexplore.ieee.org/document/9376862/
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author Gao Wei
Chen Lijuan
Ai Chao
Zheng Pengfei
Wu Xuan
author_facet Gao Wei
Chen Lijuan
Ai Chao
Zheng Pengfei
Wu Xuan
author_sort Gao Wei
collection DOAJ
description 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.
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spelling doaj.art-a8ae8081b6bb4b29a8a5a965a8f0fe1c2022-12-22T00:26:46ZengIEEEIEEE Access2169-35362022-01-0110542635427510.1109/ACCESS.2021.30656759376862Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind TurbineGao Wei0https://orcid.org/0000-0003-3936-3012Chen Lijuan1https://orcid.org/0000-0003-2392-1948Ai Chao2https://orcid.org/0000-0001-6707-1565Zheng Pengfei3Wu Xuan4Hebei Heavy Machinery Fluid Power Transmission and Control Laboratory, Yanshan University, Qinhuangdao, ChinaCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi, ChinaHebei Heavy Machinery Fluid Power Transmission and Control Laboratory, Yanshan University, Qinhuangdao, ChinaHebei Heavy Machinery Fluid Power Transmission and Control Laboratory, Yanshan University, Qinhuangdao, ChinaHebei Heavy Machinery Fluid Power Transmission and Control Laboratory, Yanshan University, Qinhuangdao, ChinaWind 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.https://ieeexplore.ieee.org/document/9376862/Wind power generationhydraulic systemspower controlcontrol nonlinearitiesoptimal control
spellingShingle Gao Wei
Chen Lijuan
Ai Chao
Zheng Pengfei
Wu Xuan
Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
IEEE Access
Wind power generation
hydraulic systems
power control
control nonlinearities
optimal control
title Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
title_full Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
title_fullStr Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
title_full_unstemmed Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
title_short Research On Active Power Online Optimal Control for Hydrostatic Transmission Wind Turbine
title_sort research on active power online optimal control for hydrostatic transmission wind turbine
topic Wind power generation
hydraulic systems
power control
control nonlinearities
optimal control
url https://ieeexplore.ieee.org/document/9376862/
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AT chenlijuan researchonactivepoweronlineoptimalcontrolforhydrostatictransmissionwindturbine
AT aichao researchonactivepoweronlineoptimalcontrolforhydrostatictransmissionwindturbine
AT zhengpengfei researchonactivepoweronlineoptimalcontrolforhydrostatictransmissionwindturbine
AT wuxuan researchonactivepoweronlineoptimalcontrolforhydrostatictransmissionwindturbine