本文選題：風速相關性　切入點：風電場旋轉備用　出處：《南京理工大學》2017年碩士論文

【摘要】：為推進清潔能源風能的開發(fā)利用,風電滲透率逐年增加,隨著風機的廣泛接入電力系統(tǒng),風機具備了參與電力系統(tǒng)調頻的能力,提高備用容量的儲備可以增強電力系統(tǒng)的穩(wěn)定性,但接入風電帶來的波動性和不確定性卻又提出了新的挑戰(zhàn)。利用風機獲得較多的備用,系統(tǒng)會越穩(wěn)定,但是留有越多的備用容量,即意味著風機將產生更多棄風,不利于風電場經濟性。因此本文致力于找尋兩者的平衡點對備用容量進行優(yōu)化。本文以風電場能夠為電力系統(tǒng)提供調頻備用容量支持為背景,利用風機工作在減載運行模式,結合改變轉速產生的慣性動能實現(xiàn)增加旋轉備用容量的儲備,有效減少棄風量。本文的研究內容主要如下:首先利用WAsP軟件(風圖譜分析和應用程序)構建風電場模型,考慮尾流效應、地面粗糙度以及障礙物遮擋對風速的影響,獲得風速預測數(shù)據(jù)。構建復雜地形環(huán)境下的風電場風速預測模型,運用WAsP軟件進行仿真獲得風速數(shù)據(jù),利用歷史數(shù)據(jù)統(tǒng)計得出風機形狀參數(shù)和尺度參數(shù),作為風機等值聚合的數(shù)據(jù)基礎。然后利用Copula理論對復雜地形的風電場內部風速進行相關性分析,結合相關性對風機進行等值聚合。構建Mixed-Copula函數(shù)來描述兩臺風機風速的聯(lián)合分布,通過秩相關系數(shù)檢驗進行風機等值聚類,最后通過兩臺風機仿真驗證了該聯(lián)合分布函數(shù)能夠有效擬合復雜地貌特征的風速數(shù)據(jù),并計及風速相關性的特征。最后根據(jù)風速預測數(shù)據(jù)和風電場風機等值聚合的結果,建立風速—風功率模型,并在此基礎上進行風電場旋轉備用容量優(yōu)化。分別建立了定備用模式優(yōu)化模型和定減載模式優(yōu)化模型,兩種優(yōu)化模型均計及風速相關性影響。定備用模式實現(xiàn)了棄風量最小優(yōu)化,定減載模式實現(xiàn)了旋轉備用容量優(yōu)化。仿真驗證本文考慮風速相關性的旋轉備用容量優(yōu)化比傳統(tǒng)法能夠給定減載率下能提供更多備用,并在給定備用模式下有效地減少棄風。
[Abstract]:In order to promote the development and utilization of clean energy wind energy, wind power permeability increases year by year. With the wide connection of fans to power system, fans have the ability to participate in power system frequency modulation. Increasing the reserve of reserve capacity can enhance the stability of power system, but the volatility and uncertainty brought about by wind power access presents a new challenge. But the more spare capacity is left, the more wind the fan will produce. It is not good for the economy of wind farm. Therefore, this paper tries to find the balance point to optimize the reserve capacity. Based on the fact that wind farm can support the power system with FM reserve capacity, the wind turbine is used to operate in the mode of load reduction. Combined with inertial kinetic energy generated by changing rotational speed, the reserve of rotating reserve capacity is increased, and the waste air volume is effectively reduced. The main contents of this paper are as follows: firstly, the wind farm model is constructed by using WAsP software (wind map analysis and application program). Considering the influence of wake effect, ground roughness and obstacle occlusion on wind speed, the wind speed prediction data are obtained. The wind speed prediction model under complex terrain environment is constructed, and the wind speed data are obtained by simulation using WAsP software. The shape parameters and scale parameters of wind turbine are obtained by using historical data statistics, which is used as the data base of fan equivalent aggregation. Then, the correlation analysis of wind speed inside wind farm of complex terrain is carried out by using Copula theory. The Mixed-Copula function is constructed to describe the combined distribution of wind speed between the two typhoon engines, and the fan equivalent clustering is carried out by rank correlation coefficient test. Finally, the simulation of two typhoons shows that the combined distribution function can fit the wind speed data of complex geomorphological features effectively, and take into account the characteristics of wind speed correlation. Finally, according to the wind speed prediction data and wind farm fan equivalent aggregation results, The model of wind speed and wind power is established, and on the basis of this model, the optimal model of fixed reserve mode and fixed load reduction mode are established. The two optimization models take into account the influence of wind speed correlation. The simulation results show that the rotation reserve capacity optimization considering wind speed correlation can provide more spare capacity under given load reduction rate and effectively reduce abandonment wind in given standby mode.
【學位授予單位】：南京理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM614

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