本文選題：風電場 + 復雜地形��； 參考：《華北電力大學》2014年碩士論文

【摘要】：全球化石燃料儲備的下降,全球氣候變暖的破壞性影響,人口不斷增加造成能源需求不斷上升,使得研究和發(fā)展低碳能源顯得尤為必要。得益于風能的環(huán)境效益,風電技術的進步及政府的激勵措施,風能已成為全球再生能源行業(yè)中增長最快的替代能源。然而,由于風電機組的功率輸出隨著風速的隨機性而波動,大規(guī)模的風電場并網(wǎng)使得風電功率波動對系統(tǒng)穩(wěn)定性的影響更為可觀,甚至在不適當?shù)那闆r下可能導致電力系統(tǒng)崩潰。 本文主要針對風電場的輸出功率特性,首先分析介紹了含風電場發(fā)輸電系統(tǒng)可靠性評估的相關基礎理論,在研究兩臺風電機組在不同海拔高度下部分遮擋模型的基礎上,建立了復雜地形下部分遮擋尾流效應計算模型,該模型適用于各種復雜地形下不同風電機組間的尾流影響,同樣適用于平坦地形。 其次,在考慮風電機組的功率輸出特性、復雜尾流效應和風電機組停運的基礎上,突出考慮了連接電纜停運對可靠性建模的影響,建立了計及連接電纜故障的風電場可靠性模型。運用威布爾分布模擬風速,對風電機組和連接電纜故障進行序貫蒙特卡羅抽樣仿真,利用MATLAB編寫相應程序進行算例分析,結(jié)果表明復雜尾流效應模型能夠相對準確地描述風電機組間尾流影響,計及連接電纜故障的風電場可靠性模型提高了原有風電場可靠性模型的精確性。 最后,通過分析風電機組輸出功率的概率性,結(jié)合復雜地形部分遮擋尾流效應模型和計及連接電纜故障的風電場可靠性模型,建立了基于聚類的風電場輸出功率概率分布模型。該模型將風能的隨機性和風電場輸出功率的概率性相結(jié)合,利用聚類思想,將風電場建模等效成為一個多狀態(tài)常規(guī)機組。以IEEE-RTS79系統(tǒng)為例,結(jié)果表明該模型可有效模擬風電場的輸出功率以及用于含風電場的電力系統(tǒng)可靠性評估,并能保證其精度。
[Abstract]:The decline of global fossil fuel reserves, the devastating effects of global warming, and the growing population have led to rising energy demand, making research and development of low-carbon energy particularly necessary. Thanks to the environmental benefits of wind power, advances in wind power technology and government incentives, wind energy has become the fastest growing alternative energy source in the global renewable energy industry. However, because the power output of wind turbine fluctuates with the randomness of wind speed, the large-scale wind farm connected to the grid makes the fluctuation of wind power have a more significant impact on the stability of the system. Even improper conditions may lead to the collapse of the power system. This paper mainly aims at the output power characteristics of wind farm. Firstly, the basic theory of reliability evaluation of power transmission system with wind farm is analyzed and introduced. Based on the study of partial occlusion model of two wind turbines at different altitude, A calculation model of partially occluded wake effect under complex terrain is established. The model is applicable to the wake effect of different wind turbines under various complex terrain as well as to the flat terrain. Secondly, on the basis of considering the power output characteristics of wind turbine, complex wake effect and wind turbine outage, the influence of connection cable outage on reliability modeling is considered. The reliability model of wind farm considering cable faults is established. By using Weibull distribution to simulate wind speed, sequential Monte Carlo sampling simulation of wind turbine and connected cable faults is carried out, and a corresponding program is compiled by MATLAB for example analysis. The results show that the complex wake effect model can accurately describe the wake effect between wind turbines, and the reliability model of wind farm considering the cable faults improves the accuracy of the original wind farm reliability model. Finally, by analyzing the probability of output power of wind turbine, combining with the model of partial wake blocking effect of complex terrain and the reliability model of wind farm considering the fault of connecting cable, the probabilistic distribution model of output power of wind farm based on clustering is established. The model combines the randomness of wind energy with the probability of output power of wind farm, and makes use of the clustering idea to model the wind farm as a multi-state conventional unit. Taking IEEE-RTS79 system as an example, the results show that the model can effectively simulate the output power of wind farm and be used to evaluate the reliability of power system with wind farm, and ensure its accuracy.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM614

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本文編號：2108722