基于數(shù)據(jù)驅(qū)動的風(fēng)力發(fā)電機(jī)組系統(tǒng)辨識研究
發(fā)布時(shí)間：2018-11-08 11:19
【摘要】：風(fēng)能作為一種清潔、可再生的資源,已越來越受到世界各國的高度重視。風(fēng)力發(fā)電機(jī)組是風(fēng)力發(fā)電的主要裝置,近年來,空氣動力學(xué)、機(jī)械工程、電氣工程、控制工程、結(jié)構(gòu)力學(xué)、材料科學(xué)等多個(gè)學(xué)科和領(lǐng)域的迅猛發(fā)展為風(fēng)力發(fā)電機(jī)組的研究和設(shè)計(jì)提供了良好的理論基礎(chǔ),推動現(xiàn)代風(fēng)力發(fā)電機(jī)組技術(shù)向輕型、高效、高可靠性及大型化發(fā)展。為滿足風(fēng)力發(fā)電機(jī)組安全、平穩(wěn)、可靠運(yùn)行、降低由于機(jī)組尺寸增加產(chǎn)生的載荷變化、提高整機(jī)發(fā)電效益、提供優(yōu)質(zhì)電力和延長機(jī)組壽命等,整機(jī)的動力學(xué)模型也將會變得更加復(fù)雜,而精確模型的建立對風(fēng)力發(fā)電機(jī)組技術(shù)發(fā)展的作用也日益凸顯。 本文依托浙江大學(xué)控制科學(xué)與工程學(xué)系工業(yè)控制研究所網(wǎng)絡(luò)傳感與控制研究組與浙江運(yùn)達(dá)風(fēng)電股份有限公司合作的國家重點(diǎn)基礎(chǔ)研究發(fā)展計(jì)劃(973計(jì)劃)課題“風(fēng)力發(fā)電系統(tǒng)辨識與自適應(yīng)控制機(jī)理研究”(課題編號2012CB724404),在風(fēng)力發(fā)電機(jī)組系統(tǒng)辨識方面,本文的主要工作有： (1)了解世界風(fēng)力發(fā)電的發(fā)展歷史和未來趨勢,了解國內(nèi)風(fēng)電產(chǎn)業(yè)面臨的機(jī)遇和挑戰(zhàn),把握國內(nèi)外風(fēng)力發(fā)電機(jī)組建模技術(shù)的研究現(xiàn)狀和意義、存在的問題以及未來可能的發(fā)展方向。 (2)研究風(fēng)力發(fā)電機(jī)組整機(jī)機(jī)理建模技術(shù),結(jié)合機(jī)組運(yùn)行特性將整機(jī)系統(tǒng)模塊化為空氣動力學(xué)子系統(tǒng)、機(jī)械子系統(tǒng)、電力子系統(tǒng)、執(zhí)行子系統(tǒng)四個(gè)子系統(tǒng)模塊,分別闡述其運(yùn)行機(jī)理和特性。 (3)研究系統(tǒng)辨識的基礎(chǔ)理論和方法,結(jié)合風(fēng)力發(fā)電機(jī)組運(yùn)行機(jī)理闡述其基本控制方案,并以控制為導(dǎo)向描述風(fēng)力發(fā)電機(jī)組中的系統(tǒng)辨識問題,將風(fēng)力發(fā)電機(jī)組的系統(tǒng)辨識劃分為轉(zhuǎn)矩環(huán)辨識和槳距環(huán)辨識問題,并進(jìn)行相應(yīng)的辨識試驗(yàn)設(shè)計(jì)。 (4)了解風(fēng)力發(fā)電機(jī)組仿真軟件Bladed的基本功能和原理,掌握Bladed的使用方式,并基于Bladed完成整機(jī)模型搭建、線性模型導(dǎo)出和分析、系統(tǒng)辨識試驗(yàn)設(shè)計(jì)、試驗(yàn)數(shù)據(jù)的收集和導(dǎo)出、基于試驗(yàn)數(shù)據(jù)的辨識以及辨識結(jié)果的驗(yàn)證等。 (5)研究LPV(Linear Parameter Varying)技術(shù)的基本理論和方法,并提出一種基于ADALINE(ADAptive LINear Element)技術(shù)的LPV系統(tǒng)辨識框架,給出仿真實(shí)例以驗(yàn)證方法的有效性。同時(shí)結(jié)合風(fēng)力發(fā)電機(jī)組特性分析基于LPV建模的問題,并結(jié)合Bladed進(jìn)行 辨識試驗(yàn)設(shè)計(jì)和LPV模型建立。(6)研究基于Hardware Test測試試驗(yàn)的基本原理和功能,通過應(yīng)用程序設(shè)計(jì)和開發(fā)進(jìn) 行基于半物理仿真平臺的系統(tǒng)辨識試驗(yàn)設(shè)計(jì),并基于試驗(yàn)數(shù)據(jù)進(jìn)行辨識和驗(yàn)證。然后基于 C#的程序設(shè)計(jì)和開發(fā)技術(shù),搭建系統(tǒng)辯識工具箱軟件的基礎(chǔ)框架,并結(jié)合Bladed試驗(yàn)數(shù) 據(jù)進(jìn)行測試和驗(yàn)證。
[Abstract]:Wind energy, as a clean and renewable resource, has been paid more and more attention all over the world. Wind turbine is the main equipment of wind power generation. In recent years, aerodynamics, mechanical engineering, electrical engineering, control engineering, structural mechanics, The rapid development of materials science provides a good theoretical basis for the research and design of wind turbine, and promotes the development of modern wind turbine technology to light, high efficiency, high reliability and large scale. In order to meet the safety, stability and reliability of the wind turbine, reduce the load change caused by the increase of the unit size, improve the power generation efficiency, provide high quality power and prolong the life of the unit, etc. The dynamic model of the whole machine will become more complex, and the precise model will play an increasingly important role in the development of wind turbine technology. This paper relies on the National key basic Research and Development Program (973 Program) of Zhejiang University Department of Control Science and Engineering, Research Group of Network Sensor and Control and Zhejiang Yunda Wind Power Co., Ltd. " Study on the Mechanism of Wind Power system Identification and Adaptive Control "(Project No. 2012CB724404), In the aspect of wind turbine system identification, the main work of this paper is as follows: (1) to understand the development history and future trend of wind power generation in the world, and to understand the opportunities and challenges faced by domestic wind power industry. Grasp the research status and significance of wind turbine modeling technology at home and abroad, existing problems and possible future development direction. (2) the modeling technology of wind turbine mechanism is studied. Combined with the operating characteristics of the wind turbine, the whole machine system is modular into four subsystems: aerodynamics subsystem, mechanical subsystem, electric subsystem and executive subsystem. Its operation mechanism and characteristics are described respectively. (3) the basic theory and method of system identification are studied, and the basic control scheme of wind turbine is expounded combined with the operation mechanism of wind turbine, and the problem of system identification in wind turbine is described with control as the guide. The system identification of wind turbine is divided into torque ring identification and propeller pitch ring identification, and the corresponding identification test design is carried out. (4) understand the basic function and principle of wind turbine simulation software Bladed, master the usage of Bladed, and complete the whole machine model building, linear model derivation and analysis, system identification test design, test data collection and export based on Bladed. Identification based on experimental data and validation of identification results. (5) the basic theory and method of LPV (Linear Parameter Varying) technology are studied, and a LPV system identification framework based on ADALINE (ADAptive LINear Element) technology is proposed, and a simulation example is given to verify the validity of the method. At the same time, the problem of wind turbine modeling based on LPV is analyzed, and the identification test design and LPV model establishment based on Bladed are carried out. (6) the basic principle and function of test based on Hardware Test are studied. The system identification experiment design based on semi-physical simulation platform is developed through application program design, and the identification and verification are carried out based on the test data. Then, based on the C # programming and development technology, the basic framework of the system identification toolbox software is built, and the test and verification are carried out based on the Bladed test data.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM315
本文編號：2318330
[Abstract]:Wind energy, as a clean and renewable resource, has been paid more and more attention all over the world. Wind turbine is the main equipment of wind power generation. In recent years, aerodynamics, mechanical engineering, electrical engineering, control engineering, structural mechanics, The rapid development of materials science provides a good theoretical basis for the research and design of wind turbine, and promotes the development of modern wind turbine technology to light, high efficiency, high reliability and large scale. In order to meet the safety, stability and reliability of the wind turbine, reduce the load change caused by the increase of the unit size, improve the power generation efficiency, provide high quality power and prolong the life of the unit, etc. The dynamic model of the whole machine will become more complex, and the precise model will play an increasingly important role in the development of wind turbine technology. This paper relies on the National key basic Research and Development Program (973 Program) of Zhejiang University Department of Control Science and Engineering, Research Group of Network Sensor and Control and Zhejiang Yunda Wind Power Co., Ltd. " Study on the Mechanism of Wind Power system Identification and Adaptive Control "(Project No. 2012CB724404), In the aspect of wind turbine system identification, the main work of this paper is as follows: (1) to understand the development history and future trend of wind power generation in the world, and to understand the opportunities and challenges faced by domestic wind power industry. Grasp the research status and significance of wind turbine modeling technology at home and abroad, existing problems and possible future development direction. (2) the modeling technology of wind turbine mechanism is studied. Combined with the operating characteristics of the wind turbine, the whole machine system is modular into four subsystems: aerodynamics subsystem, mechanical subsystem, electric subsystem and executive subsystem. Its operation mechanism and characteristics are described respectively. (3) the basic theory and method of system identification are studied, and the basic control scheme of wind turbine is expounded combined with the operation mechanism of wind turbine, and the problem of system identification in wind turbine is described with control as the guide. The system identification of wind turbine is divided into torque ring identification and propeller pitch ring identification, and the corresponding identification test design is carried out. (4) understand the basic function and principle of wind turbine simulation software Bladed, master the usage of Bladed, and complete the whole machine model building, linear model derivation and analysis, system identification test design, test data collection and export based on Bladed. Identification based on experimental data and validation of identification results. (5) the basic theory and method of LPV (Linear Parameter Varying) technology are studied, and a LPV system identification framework based on ADALINE (ADAptive LINear Element) technology is proposed, and a simulation example is given to verify the validity of the method. At the same time, the problem of wind turbine modeling based on LPV is analyzed, and the identification test design and LPV model establishment based on Bladed are carried out. (6) the basic principle and function of test based on Hardware Test are studied. The system identification experiment design based on semi-physical simulation platform is developed through application program design, and the identification and verification are carried out based on the test data. Then, based on the C # programming and development technology, the basic framework of the system identification toolbox software is built, and the test and verification are carried out based on the Bladed test data.
【學(xué)位授予單位】：浙江大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM315
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