本文選題：風電 + 通用模型　； 參考：《湘潭大學》2015年碩士論文

【摘要】：風能資源的大規(guī)模發(fā)展和利用給風力發(fā)電技術帶來了巨大的挑戰(zhàn)和機遇,而在考慮機組間的尾流效應、風速的不穩(wěn)定性等因素的條件下,實現(xiàn)風電場有功出力最大化以及功率平滑,是提高海上風電場并網(wǎng)發(fā)電量的關鍵所在。因此,風電場有功功率控制(Active Power Control,APC)與平滑技術已成為業(yè)界和學術界面臨的迫切問題。本文主要從風電場有功功率控制系統(tǒng)(Active Power Control System,APCS)、有功出力優(yōu)化策略、風電機組的運行和控制策略、尾流效應對風電場有功出力的影響等相關理論知識著手,展開課題的研究。1、研究了風電場環(huán)境風速和變速變槳距風電機組的建模與仿真,建立了由基本風、陣風、隨機風和漸變風四分量組成的組合風速模型,研究了基于配置文件的變速變槳距風電機組通用模型,實現(xiàn)了風速和機組模型靈活配置,并能夠較準確的測試不同類型的機組在不同風況和不同控制策略下輸出功率、載荷、轉矩等參數(shù)特性。2、研究了尾流與機組有功出力之間的定量調控方法,建立了海上風電場有功出力優(yōu)化模型。重點研究了基于現(xiàn)有計算資源實現(xiàn)控制策略的方法:基于機組分組、機組控制原理降低了問題求解規(guī)模;基于數(shù)據(jù)擬合和極值求解方法優(yōu)化了求解過程。仿真結果表明,提出的方案能使風電場各機組有功出力之和大于傳統(tǒng)單機最大風能捕獲方案,有效提升風場功率,在不增加風電場硬件設備投資的情況下,提高風電場投資收益。3、研究了機組本身慣性儲能和鋰電池儲能平滑風電場輸出功率波動(Power Fluctuation,PF)。分析了風電場儲能系統(tǒng),并依據(jù)儲能裝置的儲能特性,建立的基于成本控制和鋰電池壽命的性能指標評價指數(shù)。實例仿真表明建立的儲能系統(tǒng)能夠有效的滿足風電場的平滑目標,大大提高了風電場并網(wǎng)發(fā)電量。
[Abstract]:The large-scale development and utilization of wind energy resources bring great challenges and opportunities to wind power generation technology. Considering the wake effect between units, wind speed instability and other factors, To maximize the active power and smooth power of wind farm is the key to improve the power generation capacity of offshore wind farm. Therefore, active Power Control (APC) and smoothing technology in wind farms have become an urgent problem in industry and academia. In this paper, the active Power Control system of active power control system of wind farm, the optimization strategy of active power output, the operation and control strategy of wind turbine, the effect of wake effect on the active power output of wind farm, and so on, are discussed in this paper. Firstly, the modeling and simulation of wind speed in wind farm and variable speed variable pitch wind turbine are studied, and the combined wind speed model composed of basic wind, gust, random wind and gradual wind is established. The general model of variable speed variable pitch wind turbine based on configuration file is studied. The flexible configuration of wind speed and unit model is realized, and the output power and load of different types of units under different wind conditions and different control strategies are tested more accurately. The torque isoparametric characteristic. 2. The quantitative control method between the wake flow and the active power output of the unit is studied, and the optimization model of the active power output of the offshore wind farm is established. The methods to realize the control strategy based on the existing computing resources are emphatically studied: based on the unit grouping, the unit control principle reduces the scale of solving the problem, and the solution process is optimized based on the data fitting and extremum solution methods. The simulation results show that the proposed scheme can make the sum of active power output of wind farm units larger than the traditional maximum wind power capture scheme, effectively enhance the wind field power, without increasing the investment of wind farm hardware equipment. In order to improve the investment income of wind farm, the inertia energy storage and lithium battery energy storage are studied to smooth the fluctuation of output power of wind farm. The energy storage system of wind farm is analyzed, and the evaluation index based on cost control and Lithium battery life is established according to the energy storage characteristics of the energy storage unit. The simulation results show that the energy storage system can effectively meet the smooth target of wind farm, and greatly improve the grid power generation capacity of wind farm.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM614

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本文編號：1917727