【摘要】：隨著風(fēng)電場(chǎng)并網(wǎng)容量的逐漸增加，其給電網(wǎng)帶來(lái)的不利影響也愈加明顯，如果完全依靠傳統(tǒng)電源對(duì)所造成的影響進(jìn)行補(bǔ)償，可能會(huì)因此增加傳統(tǒng)電源的備用容量，加大系統(tǒng)的運(yùn)行成本。所以，，隨著分布式電源并入電網(wǎng)容量的增加，需對(duì)含高滲透率風(fēng)電場(chǎng)的電力系統(tǒng)的有功功率策略進(jìn)行研究。 首先對(duì)雙饋式風(fēng)力發(fā)電系統(tǒng)進(jìn)行建模，分析其各模塊的數(shù)學(xué)模型，研究其網(wǎng)側(cè)逆變器和轉(zhuǎn)子側(cè)逆變器的控制策略。在此基礎(chǔ)上設(shè)計(jì)了考慮風(fēng)速變化及穩(wěn)態(tài)頻率誤差的一次調(diào)頻控制器，減少系統(tǒng)頻率偏差。并提出了基于直流靈敏度的風(fēng)電場(chǎng)間有功功率的調(diào)控策略，通過(guò)此調(diào)控策略可以調(diào)控各個(gè)風(fēng)電場(chǎng)的出力，從而解決系統(tǒng)發(fā)生大擾動(dòng)時(shí)有功潮流的變化問(wèn)題。同時(shí)對(duì)所提出的控制策略分別進(jìn)行了驗(yàn)證分析，結(jié)果表明所提的一次調(diào)頻控制策略可以有效改善系統(tǒng)的頻率偏差，基于直流靈敏度的風(fēng)電場(chǎng)間有功功率的調(diào)控策略可以有效消除支路的潮流越限。 其次針對(duì)電力系統(tǒng)接納風(fēng)電備用容量不足的情況，同時(shí)綜合考慮風(fēng)功率預(yù)測(cè)、風(fēng)電場(chǎng)裝機(jī)容量等因素，提出基于風(fēng)功率預(yù)測(cè)的比例算法、基于風(fēng)功率預(yù)測(cè)的優(yōu)化算法兩種風(fēng)電場(chǎng)間限值優(yōu)化策略，使風(fēng)電場(chǎng)自主參與系統(tǒng)調(diào)峰。通過(guò)實(shí)例對(duì)傳統(tǒng)的基于風(fēng)電場(chǎng)裝機(jī)容量的優(yōu)化分配算法及所提出的兩種優(yōu)化策略分別進(jìn)行驗(yàn)證，結(jié)果表明基于風(fēng)功率預(yù)測(cè)的優(yōu)化算法和基于風(fēng)功率預(yù)測(cè)的比例算法均明顯優(yōu)于傳統(tǒng)的基于風(fēng)電場(chǎng)裝機(jī)容量的分配算法，其中基于風(fēng)功率預(yù)測(cè)的優(yōu)化算法最優(yōu)。 最后提出基于機(jī)組分類的風(fēng)電場(chǎng)內(nèi)各機(jī)組間的優(yōu)化分配策略。根據(jù)場(chǎng)內(nèi)各個(gè)機(jī)組不同的運(yùn)行特性，計(jì)算出各機(jī)組的特征矩陣，運(yùn)用模糊聚類分析方法對(duì)機(jī)組進(jìn)行分類，并根據(jù)遺傳尋優(yōu)算法對(duì)分類機(jī)組進(jìn)行機(jī)組組合，選取最優(yōu)的機(jī)組運(yùn)行組合，通過(guò)基于風(fēng)功率預(yù)測(cè)的優(yōu)化算法對(duì)最優(yōu)的機(jī)組運(yùn)行組合進(jìn)行具體的功率數(shù)值分配。并通過(guò)實(shí)例對(duì)所提優(yōu)化策略進(jìn)行驗(yàn)證，結(jié)果表明此策略可以準(zhǔn)確地按照調(diào)度指令對(duì)風(fēng)電場(chǎng)內(nèi)機(jī)組間的功率進(jìn)行優(yōu)化分配。
[Abstract]:With the gradual increase of wind farm grid capacity, the negative impact on power grid becomes more and more obvious. If we rely on the traditional power supply to compensate for the impact, it may increase the reserve capacity of traditional power supply. Increase the operating cost of the system. Therefore, with the increase of the capacity of distributed generation integrated into power grid, the active power strategy of power system with high permeability wind farm should be studied. Firstly, the model of doubly-fed wind power generation system is built, the mathematical models of each module are analyzed, and the control strategies of grid-side inverter and rotor-side inverter are studied. On this basis, a primary frequency modulation controller considering the variation of wind speed and the error of steady frequency is designed to reduce the frequency deviation of the system. An active power control strategy based on DC sensitivity is proposed, which can be used to control the output of each wind farm, thus solving the problem of the change of active power flow in the event of large disturbance of the system. At the same time, the proposed control strategies are verified and analyzed respectively. The results show that the proposed primary frequency modulation control strategy can effectively improve the frequency deviation of the system. The active power regulation strategy based on DC sensitivity between wind farms can effectively eliminate the branch power flow limit. Secondly, considering the wind power forecast, wind farm installed capacity and other factors, a proportion algorithm based on wind power prediction is proposed. The optimization algorithm based on wind power prediction can make wind farm participate in the system peak shaving independently by optimizing the limit value between two kinds of wind farm. The traditional optimal allocation algorithm based on installed capacity of wind farm and the proposed two optimization strategies are verified by examples. The results show that the optimization algorithm based on wind power prediction and the proportion algorithm based on wind power prediction are obviously superior to the traditional allocation algorithm based on wind farm installed capacity, among which the optimization algorithm based on wind power prediction is optimal. Finally, an optimal allocation strategy for wind farms based on unit classification is proposed. According to the different operating characteristics of each unit in the field, the characteristic matrix of each unit is calculated, and the unit is classified by using fuzzy cluster analysis method, and the unit combination is carried out according to the genetic optimization algorithm. The optimal unit operation group is selected and the optimal unit operation unit is allocated numerically by the optimal wind power prediction algorithm. An example is given to verify the proposed optimization strategy. The results show that the proposed strategy can accurately allocate the power between units in a wind farm according to the dispatching instructions.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM614

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 曹軍;王虹富;邱家駒;;變速恒頻雙饋風(fēng)電機(jī)組頻率控制策略[J];電力系統(tǒng)自動(dòng)化;2009年13期

2 喬穎;魯宗相;;考慮電網(wǎng)約束的風(fēng)電場(chǎng)自動(dòng)有功控制[J];電力系統(tǒng)自動(dòng)化;2009年22期

3 靜鐵巖;呂泉;郭琳;李衛(wèi)東;;水電—風(fēng)電系統(tǒng)日間聯(lián)合調(diào)峰運(yùn)行策略[J];電力系統(tǒng)自動(dòng)化;2011年22期

4 鄒賢求;吳政球;陳波;張小兵;王國(guó)民;;變速恒頻雙饋風(fēng)電機(jī)組頻率控制策略的改進(jìn)[J];電力系統(tǒng)及其自動(dòng)化學(xué)報(bào);2011年03期

5 程臨燕;張保會(huì);郝治國(guó);李鵬;汪成根;舒進(jìn);;基于綜合靈敏度分析的快速控制算法研究[J];電力自動(dòng)化設(shè)備;2009年04期

6 張利;王成福;牛遠(yuǎn)方;;風(fēng)電場(chǎng)輸出有功功率的協(xié)調(diào)分配策略[J];電力自動(dòng)化設(shè)備;2012年08期

7 席軍;;風(fēng)力發(fā)電技術(shù)的研究現(xiàn)狀[J];科技創(chuàng)新與應(yīng)用;2013年06期

8 趙洪山;劉興杰;李聰;;基于機(jī)組動(dòng)態(tài)風(fēng)速信息的風(fēng)電場(chǎng)有功控制策略[J];電力科學(xué)與工程;2013年01期

9 張立新;高桂蘭;;風(fēng)電場(chǎng)有功功率控制策略研究[J];電氣制造;2013年06期

10 趙斌;王明渝;李輝;楊超;;基于非線性內(nèi)點(diǎn)法的雙饋風(fēng)電場(chǎng)功率優(yōu)化分配控制策略[J];電力系統(tǒng)保護(hù)與控制;2012年13期

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