含雙饋機組的風電系統(tǒng)網(wǎng)損優(yōu)化與動態(tài)潮流研究
發(fā)布時間：2018-08-12 20:13
【摘要】：風電并網(wǎng)影響系統(tǒng)經(jīng)濟性和安全性。為提高風電系統(tǒng)經(jīng)濟性,有必要量化分析并網(wǎng)風電對網(wǎng)損的影響�？紤]雙饋感應風電機組(Double-Fed Induction Generator,DFIG)內部損耗時,受風速變化影響的機組有功出力在潮流求解前未知,傳統(tǒng)網(wǎng)損靈敏度模型不能直接反應風速波動的影響,無法直接用于含DFIG的風電系統(tǒng)。同時隨著風電并網(wǎng)容量增加,需要風電機組參與系統(tǒng)調頻以維持頻率安全性。動態(tài)潮流算法將功率擾動分擔給調頻機組,可量化系統(tǒng)頻率,在穩(wěn)態(tài)分析中常用于計算功率擾動后系統(tǒng)潮流分布與頻率偏移�，F(xiàn)有動態(tài)潮流文獻針對同步機組,未考慮風電機組參與系統(tǒng)調頻。針對上述問題,本文基于DFIG詳細潮流模型,對含DFIG風電系統(tǒng)的網(wǎng)損優(yōu)化和動態(tài)潮流算法進行了研究,論文主要內容和創(chuàng)新點如下:(1)基于最大功率點跟蹤方式,擴展傳統(tǒng)網(wǎng)損靈敏度模型,提出系統(tǒng)有功網(wǎng)損對風速靈敏度,以量化風速對有功網(wǎng)損的影響程度和趨勢。算例結果表明負的靈敏度指標反映系統(tǒng)有功網(wǎng)損隨風速上升而減小,反之隨風速上升而增大;靈敏度指標絕對值越大,風速對有功網(wǎng)損影響越明顯。所提靈敏度指標可作為風電機組無功控制方式和風電場并網(wǎng)位置選擇的輔助參考依據(jù)。(2)引入DFIG內部約束,基于DFIG具體調頻策略在動態(tài)潮流計算中修正其相關參數(shù),使其參與系統(tǒng)一次調頻;量化DFIG機組慣性使其參與加速功率分擔,提出考慮DFIG參與系統(tǒng)一次調頻的動態(tài)潮流模型。結合算例發(fā)現(xiàn)DFIG慣性受風速和減載水平影響;系統(tǒng)加速功率為負時,在相同減載水平下,輸入風速越高,DFIG機組有功備用越大,對系統(tǒng)頻率支持能力越強。(3)現(xiàn)有經(jīng)濟調度研究雖有涉及系統(tǒng)頻率和SG調頻能力,但忽略風電或以風電功率代替具體風電機組。為在經(jīng)濟調度中考慮DFIG的一次調頻能力,將上節(jié)所述考慮DFIG參與調頻的動態(tài)潮流算法引入經(jīng)濟調度,提出計及DFIG參與一次調頻的概率最優(yōu)潮流模型。模型計及風速預測誤差概率特性,通過權重系數(shù)在優(yōu)化目標中引入預測誤差引起的頻率偏移。結合算例驗證了所提模型的有效性,發(fā)現(xiàn)通過選擇適合的目標函數(shù)權重系數(shù),可兼顧發(fā)電成本和預測誤差引起的頻率偏移,以獲得較好的經(jīng)濟性和安全性。
[Abstract]:Wind power grid connection affects system economy and safety. In order to improve the economy of wind power system, it is necessary to quantitatively analyze the influence of grid-connected wind power on network loss. Considering the internal loss of Double-Fed Induction induction wind turbine (Double-Fed Induction generator), the active power output of the unit affected by the wind speed change is unknown before the power flow is solved, and the traditional network loss sensitivity model can not directly reflect the influence of wind speed fluctuation. Cannot be directly used in wind power systems with DFIG. At the same time, with the increase of wind power grid capacity, wind turbines are required to participate in frequency regulation to maintain frequency safety. The dynamic power flow algorithm shares the power disturbance to the frequency modulation unit and quantifies the frequency of the system. It is often used to calculate the power flow distribution and frequency offset of the system after the power disturbance in the steady-state analysis. The existing dynamic power flow literature is aimed at synchronous units and does not consider the wind turbine participating in the frequency modulation of the system. Aiming at the above problems, based on the detailed power flow model of DFIG, this paper studies the power loss optimization and dynamic power flow algorithm of wind power system with DFIG. The main contents and innovations of this paper are as follows: (1) based on the maximum power point tracking method, Based on the traditional sensitivity model of network loss, the sensitivity of active power network loss to wind speed is proposed to quantify the influence degree and trend of wind speed on active power network loss. The results show that the negative sensitivity index reflects that the active power network loss decreases with the increase of the wind speed, whereas increases with the increase of the wind speed, and the greater the absolute value of the sensitivity index, the more obvious the influence of the wind speed on the loss of the active power network. The proposed sensitivity index can be used as an auxiliary reference for wind turbine reactive power control mode and wind farm grid connection location selection. (2) introducing DFIG internal constraints and modifying its parameters in dynamic power flow calculation based on specific frequency modulation strategy of DFIG. The dynamic power flow model considering the participation of DFIG in the primary frequency modulation of the system is put forward by quantifying the inertia of the DFIG unit to make it participate in the acceleration power sharing. Combined with an example, it is found that the inertia of DFIG is affected by wind speed and load reduction level, and when the acceleration power of the system is negative, under the same load reduction level, the higher the input wind speed is, the greater the active power reserve of the unit is. The stronger the system frequency support ability is. (3) although the current economic dispatch research involves the system frequency and SG frequency modulation capability, it ignores the wind power or replaces the specific wind turbine with wind power. In order to consider the primary frequency modulation capability of DFIG in economic scheduling, the dynamic power flow algorithm considering the participation of DFIG in frequency modulation is introduced into economic scheduling, and a probabilistic optimal power flow model considering DFIG participation in primary frequency modulation is proposed. Considering the probability characteristic of wind speed prediction error, the frequency offset caused by prediction error is introduced into the optimization target by weight coefficient. The validity of the proposed model is verified by an example. It is found that by selecting the appropriate weight coefficient of the objective function, the generation cost and the frequency offset caused by the prediction error can be taken into account in order to obtain better economy and security.
【學位授予單位】：合肥工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM614
本文編號：2180235
[Abstract]:Wind power grid connection affects system economy and safety. In order to improve the economy of wind power system, it is necessary to quantitatively analyze the influence of grid-connected wind power on network loss. Considering the internal loss of Double-Fed Induction induction wind turbine (Double-Fed Induction generator), the active power output of the unit affected by the wind speed change is unknown before the power flow is solved, and the traditional network loss sensitivity model can not directly reflect the influence of wind speed fluctuation. Cannot be directly used in wind power systems with DFIG. At the same time, with the increase of wind power grid capacity, wind turbines are required to participate in frequency regulation to maintain frequency safety. The dynamic power flow algorithm shares the power disturbance to the frequency modulation unit and quantifies the frequency of the system. It is often used to calculate the power flow distribution and frequency offset of the system after the power disturbance in the steady-state analysis. The existing dynamic power flow literature is aimed at synchronous units and does not consider the wind turbine participating in the frequency modulation of the system. Aiming at the above problems, based on the detailed power flow model of DFIG, this paper studies the power loss optimization and dynamic power flow algorithm of wind power system with DFIG. The main contents and innovations of this paper are as follows: (1) based on the maximum power point tracking method, Based on the traditional sensitivity model of network loss, the sensitivity of active power network loss to wind speed is proposed to quantify the influence degree and trend of wind speed on active power network loss. The results show that the negative sensitivity index reflects that the active power network loss decreases with the increase of the wind speed, whereas increases with the increase of the wind speed, and the greater the absolute value of the sensitivity index, the more obvious the influence of the wind speed on the loss of the active power network. The proposed sensitivity index can be used as an auxiliary reference for wind turbine reactive power control mode and wind farm grid connection location selection. (2) introducing DFIG internal constraints and modifying its parameters in dynamic power flow calculation based on specific frequency modulation strategy of DFIG. The dynamic power flow model considering the participation of DFIG in the primary frequency modulation of the system is put forward by quantifying the inertia of the DFIG unit to make it participate in the acceleration power sharing. Combined with an example, it is found that the inertia of DFIG is affected by wind speed and load reduction level, and when the acceleration power of the system is negative, under the same load reduction level, the higher the input wind speed is, the greater the active power reserve of the unit is. The stronger the system frequency support ability is. (3) although the current economic dispatch research involves the system frequency and SG frequency modulation capability, it ignores the wind power or replaces the specific wind turbine with wind power. In order to consider the primary frequency modulation capability of DFIG in economic scheduling, the dynamic power flow algorithm considering the participation of DFIG in frequency modulation is introduced into economic scheduling, and a probabilistic optimal power flow model considering DFIG participation in primary frequency modulation is proposed. Considering the probability characteristic of wind speed prediction error, the frequency offset caused by prediction error is introduced into the optimization target by weight coefficient. The validity of the proposed model is verified by an example. It is found that by selecting the appropriate weight coefficient of the objective function, the generation cost and the frequency offset caused by the prediction error can be taken into account in order to obtain better economy and security.
【學位授予單位】：合肥工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TM614
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