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基于記憶補償算法的海上風(fēng)機智能獨立變槳策略研究與仿真

發(fā)布時間:2018-06-11 20:51

  本文選題:海上漂浮式風(fēng)機 + 獨立變槳; 參考:《電子科技大學(xué)》2014年碩士論文


【摘要】:風(fēng)力發(fā)電作為近些年來一種新興的清潔能源,產(chǎn)業(yè)規(guī)模日益擴大,傳統(tǒng)的陸地風(fēng)電已經(jīng)無法滿足日益增長的能源需求。相對于陸地上的風(fēng)速,海風(fēng)具有更廣闊的風(fēng)力資源,可以為電力系統(tǒng)提供更高價值的能源,其是在大多數(shù)國家的風(fēng)電資源可開發(fā)的區(qū)域位于水深超過30米的位置,所以越來越多的海上風(fēng)力發(fā)電機成為行業(yè)的主要研究重點。漂浮式風(fēng)力發(fā)電機提供了一種可行的策略,使得風(fēng)力發(fā)電機可以充分利用深海區(qū)域的風(fēng)能資源。由于風(fēng)機系統(tǒng)具有非常高的靈活性和復(fù)雜性,并且環(huán)境更加的多變,會引起離岸風(fēng)機強烈的不穩(wěn)定震蕩,而這種震動會加快風(fēng)電機組的零部件疲勞。特別是浮動平臺受到波浪的沖擊而受到的強烈載荷會對風(fēng)機造成不可逆的損害,并且增加了人工維護的成本。由于海上風(fēng)機的成本相比于陸地更加貴重,風(fēng)機的維護以及載荷的抑制加重了風(fēng)電廠商額外的成本。因此需要一個更加智能和強大的控制系統(tǒng),不僅來滿足額定功率控制,同時也能減少由于波浪沖擊、風(fēng)切變、塔影效應(yīng)、斜流和湍流所對風(fēng)力機結(jié)構(gòu)造成的疲勞載荷。由于風(fēng)機的控制主要目的為最大限度的提高風(fēng)能的利用并且減少疲勞載荷,獨立變槳控制成為一種有效的方法來調(diào)節(jié)輸出功率和風(fēng)機載荷的平衡。尤其當(dāng)風(fēng)速高于風(fēng)力發(fā)電機的額定風(fēng)速的時候,獨立變槳控制提供了一種針對功率穩(wěn)定和結(jié)構(gòu)穩(wěn)定非常有效的辦法。本文針對海上漂浮式風(fēng)力發(fā)電機提出了一種基于記憶補償?shù)哪P蛢?yōu)化的獨立控制器,與傳統(tǒng)的變槳控制器相比,它更可以更有效的降低了不對稱氣動載荷以及平臺的不穩(wěn)定振動。本文利用海上動力學(xué)模型分析,建立了風(fēng)機的載荷模型,并且結(jié)合我們自身所開發(fā)的基于FAST的可視化風(fēng)機整機仿真軟件,對海上漂浮式風(fēng)機進(jìn)行了仿真和建模;并且在Matlab環(huán)境下進(jìn)行了獨立變槳模型的仿真驗證,相比于傳統(tǒng)的協(xié)同變槳可以更好的減小風(fēng)機的疲勞;最后引入基于記憶補償?shù)哪P妥顑?yōu)化控制器來作為獨立變槳模型的核心控制器,以一種追蹤誤差的思想,將載荷作為控制對象使之進(jìn)行誤差追蹤來保證風(fēng)機的穩(wěn)定。分析和仿真結(jié)果表明,先進(jìn)的控制策略在減小載荷的過程中有著更好的表現(xiàn),其中包括風(fēng)機的傾覆力矩和偏航力矩,增強了系統(tǒng)的穩(wěn)定性和可靠性,為風(fēng)力發(fā)電獨立變槳領(lǐng)域提供了一條可行性思路。
[Abstract]:Wind power generation as a new clean energy in recent years, the scale of industrial expansion, traditional land-based wind power has been unable to meet the increasing energy demand. Compared to the wind speed on land, sea winds have a wider range of wind resources and can provide higher value energy for the power system, where wind power resources are exploitable in most countries at a depth of more than 30 meters. Therefore, more and more offshore wind turbines become the main research focus of the industry. Floating wind turbine provides a feasible strategy to make full use of deep sea wind energy resources. Because of the high flexibility and complexity of the fan system and the more changeable environment, it will cause the strong unstable vibration of offshore fan, which will accelerate the fatigue of wind turbine components. In particular, the strong load on the floating platform subjected to waves will cause irreversible damage to the fan and increase the cost of manual maintenance. Since the cost of offshore fans is more expensive than on land, fan maintenance and load suppression increase the additional costs for wind power producers. Therefore, a more intelligent and powerful control system is needed to not only meet the rated power control, but also reduce the fatigue load caused by wave shock, wind shear, tower shadow effect, oblique flow and turbulence. Since the main purpose of fan control is to maximize the utilization of wind energy and reduce fatigue load, independent variable propeller control has become an effective method to adjust the balance of output power and fan load. Especially when the wind speed is higher than the rated wind speed of the wind turbine independent variable propeller control provides a very effective method for power stability and structural stability. In this paper, a model optimization independent controller based on memory compensation is proposed for offshore floating wind turbine, which is compared with the traditional variable propeller controller. It can more effectively reduce the asymmetric aerodynamic load and the unstable vibration of the platform. In this paper, the load model of the fan is established by using the dynamic model of the sea, and the simulation and modeling of the floating fan on the sea are carried out based on the visual simulation software developed by ourselves based on fast. The simulation results of independent propeller model in Matlab environment show that compared with the traditional co-propeller model, the fatigue of fan can be reduced better. Finally, the model optimization controller based on memory compensation is introduced as the core controller of the independent propeller model. With the idea of tracking the error, the load is used as the control object to track the error to ensure the stability of the fan. The analysis and simulation results show that the advanced control strategy has better performance in the process of reducing the load, including the overturning moment and yaw moment of the fan, which enhances the stability and reliability of the system. It provides a feasible idea for wind power independent variable propeller field.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM315

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 金鑫;熊海洋;夏宗朝;何玉林;杜靜;;漂浮特性對風(fēng)力發(fā)電機載荷的影響[J];南昌大學(xué)學(xué)報(工科版);2013年02期

相關(guān)碩士學(xué)位論文 前1條

1 趙靜;海上風(fēng)力機流體載荷研究[D];哈爾濱工程大學(xué);2009年

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本文編號:2006655

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