本文選題：SCADA數(shù)據(jù)　切入點(diǎn)：風(fēng)電并網(wǎng)　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：當(dāng)前，風(fēng)電大規(guī)模并網(wǎng)使風(fēng)力發(fā)電對(duì)電網(wǎng)影響越來越大，導(dǎo)致其他電源需要更高的調(diào)節(jié)能力來保證電網(wǎng)的調(diào)度運(yùn)行和電網(wǎng)的故障水平與穩(wěn)定性等�？茖W(xué)評(píng)價(jià)并網(wǎng)風(fēng)電機(jī)組的運(yùn)行狀況，對(duì)完成大規(guī)模安全風(fēng)力發(fā)電穩(wěn)定并網(wǎng)運(yùn)行擁有很大的科學(xué)意義。本文主要從風(fēng)電功率特性的研究、風(fēng)電機(jī)組性能評(píng)估模型的建立以及風(fēng)電棄風(fēng)電量評(píng)估模型的建立幾個(gè)方面，進(jìn)行了并網(wǎng)風(fēng)電機(jī)組運(yùn)行狀態(tài)評(píng)估，開展了以下工作： （1）基于研究風(fēng)電機(jī)組并網(wǎng)運(yùn)行的基本原理，分析了并網(wǎng)風(fēng)電機(jī)組運(yùn)行基本信息，主要包括風(fēng)電機(jī)組基本結(jié)構(gòu)、基本類型和工作原理以及在線狀態(tài)監(jiān)測(cè)基本參量、主要部件的故障機(jī)理等； （2）針對(duì)并網(wǎng)風(fēng)電機(jī)組的功率特性，提出了風(fēng)電功率量化指標(biāo)分析及利用正態(tài)分布函數(shù)擬合風(fēng)電功率min級(jí)分量概率密度分布研究方法。主要包括：第一，，定義量化指標(biāo)，并從差分時(shí)間尺度和風(fēng)電場(chǎng)裝機(jī)容量兩個(gè)方面分析風(fēng)電波動(dòng)的特性；第二，選用二次滾動(dòng)平均法分析風(fēng)電場(chǎng)輸出功率的min級(jí)分量，同時(shí)利用正態(tài)分布函數(shù)擬合min級(jí)分量概率密度分布，研究不同裝機(jī)容量風(fēng)電場(chǎng)和選擇不同滾動(dòng)窗口時(shí)風(fēng)電功率min分量的概率分布； （3）考慮到風(fēng)電機(jī)組本身運(yùn)行的性能特性，研究并網(wǎng)運(yùn)行風(fēng)電機(jī)組性能的評(píng)估模型。在常規(guī)模糊數(shù)學(xué)評(píng)判模型基礎(chǔ)上，首先，通過灰色系統(tǒng)理論獲取指標(biāo)權(quán)值，并引入變權(quán)理論對(duì)偏離指標(biāo)進(jìn)行修正；然后，采用劣化度指標(biāo)建立隸屬函數(shù)，建立基于SCADA（Supervisory Control and Data Acquisition）數(shù)據(jù)的風(fēng)電機(jī)組性能狀態(tài)評(píng)估模型，并通過實(shí)例驗(yàn)證； （4）提出棄風(fēng)電量的評(píng)估模型。該方法是基于SCADA實(shí)時(shí)監(jiān)測(cè)數(shù)據(jù)，對(duì)風(fēng)速進(jìn)行修正，計(jì)算風(fēng)電場(chǎng)實(shí)際功率，從而確定風(fēng)電場(chǎng)的理論發(fā)電量，并根據(jù)實(shí)際發(fā)電量，得到風(fēng)電場(chǎng)的棄風(fēng)電量。 以上研究成果可應(yīng)用于風(fēng)電機(jī)組并網(wǎng)運(yùn)行狀態(tài)評(píng)估，將為風(fēng)電并網(wǎng)提供理論參考，保證并網(wǎng)風(fēng)力發(fā)電機(jī)組的高可靠性，對(duì)實(shí)現(xiàn)風(fēng)電機(jī)組大規(guī)模并網(wǎng)具有重要的科學(xué)實(shí)用價(jià)值和研究意義。
[Abstract]:At present, wind power generation is becoming more and more important to the power grid because of the large-scale grid connection of wind power. Therefore, other power sources need higher regulation ability to ensure the dispatching operation of the power network and the fault level and stability of the power network, etc. Scientific evaluation of the operation status of grid-connected wind turbines, It is of great scientific significance to complete the stable grid operation of large-scale safe wind power generation. This paper mainly focuses on the research of wind power characteristics, the establishment of wind turbine performance evaluation model and the establishment of wind power abandoned wind power evaluation model. The operation status of grid-connected wind turbine is evaluated, and the following work is carried out:. 1) based on the study of the basic principle of wind turbine grid connected operation, the basic information of wind turbine operation is analyzed, including the basic structure, basic type and working principle of wind turbine unit, and the basic parameters of on-line condition monitoring. Failure mechanism of main components; 2) aiming at the power characteristic of grid-connected wind turbine, the paper puts forward a method to analyze the quantization index of wind power and to fit the probability density distribution of min component of wind power by normal distribution function. The main contents are as follows: firstly, the quantization index is defined. The characteristics of wind power fluctuation are analyzed from two aspects: difference time scale and wind farm installed capacity. Secondly, the min stage component of wind farm output power is analyzed by using the quadratic rolling average method. At the same time, the probability density distribution of min stage component is fitted by normal distribution function, and the probability distribution of wind power min component under different installed capacity wind farm and different rolling window is studied. Considering the performance characteristics of wind turbine, the evaluation model of wind turbine performance in grid-connected operation is studied. On the basis of conventional fuzzy mathematics evaluation model, the index weights are obtained by grey system theory. The variable weight theory is introduced to modify the deviation index, and then the membership function is established by using the deterioration degree index, and the performance evaluation model of wind turbine based on SCADA(Supervisory Control and Data requirements data is established, and the model is verified by an example. This method is based on the real-time monitoring data of SCADA, modifies the wind speed, calculates the actual power of the wind farm, and determines the theoretical power generation of the wind farm. Get the abandoned wind power from the wind farm. The above research results can be applied to the evaluation of wind turbine grid-connected operation status, which will provide a theoretical reference for wind power grid connection and ensure the high reliability of grid-connected wind turbine. It has important scientific and practical value and research significance for realizing large-scale grid connection of wind turbine.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM315

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