本文選題：風(fēng)力發(fā)電　切入點(diǎn)：混合儲(chǔ)能系統(tǒng)　出處：《沈陽工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：近些年來,風(fēng)電作為新型能源以清潔、環(huán)保、無污染等優(yōu)點(diǎn)得到了大力的發(fā)展,但風(fēng)力發(fā)電具有波動(dòng)強(qiáng)、間接性大、不穩(wěn)定等缺點(diǎn),會(huì)使風(fēng)電場(chǎng)發(fā)電的可靠性產(chǎn)生不確定性影響。同時(shí)大規(guī)模風(fēng)電并網(wǎng)會(huì)引起電網(wǎng)電壓和頻率的劇烈震蕩,嚴(yán)重影響電網(wǎng)穩(wěn)定。儲(chǔ)能系統(tǒng)通過功率快速充放以靈活有效的方式平抑風(fēng)電功率波動(dòng),降低其對(duì)電力系統(tǒng)擾動(dòng)性影響,提高風(fēng)電并網(wǎng)的電能質(zhì)量。風(fēng)儲(chǔ)聯(lián)合系統(tǒng)的經(jīng)濟(jì)性主要體現(xiàn)在儲(chǔ)能容量的有效配置上。因此對(duì)儲(chǔ)能容量的合理配置具有重要的經(jīng)濟(jì)和工程現(xiàn)實(shí)意義。本文工作研究的重點(diǎn)是風(fēng)儲(chǔ)聯(lián)合系統(tǒng)功率提取運(yùn)行控制策略以及儲(chǔ)能容量?jī)?yōu)化配置的研究。首先,通過對(duì)集中式風(fēng)電功率波動(dòng)特性進(jìn)行分析,表明采用儲(chǔ)能系統(tǒng)平抑功率波動(dòng)的必要性。建立雙饋型風(fēng)機(jī)、蓄電池、超級(jí)電容器儲(chǔ)能裝置的數(shù)學(xué)模型,對(duì)其蓄電池及超級(jí)電容器運(yùn)行互補(bǔ)特性行闡述分析。在MATLAB/SIMULINK仿真平臺(tái)構(gòu)建風(fēng)儲(chǔ)聯(lián)合系統(tǒng)仿真模型,為后續(xù)風(fēng)儲(chǔ)聯(lián)合系統(tǒng)功率分配以及容量配置奠定好基礎(chǔ)。其次,提出了基于自適應(yīng)卡爾曼功率分解的風(fēng)電混合儲(chǔ)能容量配置方法。該方法采用時(shí)變域遞回歸估算方式,將最優(yōu)濾波理論與風(fēng)儲(chǔ)聯(lián)合系統(tǒng)相結(jié)合,對(duì)風(fēng)電輸出功率進(jìn)行卡爾曼分解,分離出并網(wǎng)輸出功率部分和儲(chǔ)能裝置平抑部分。根據(jù)蓄電池及超級(jí)電容器運(yùn)行互補(bǔ)特性,對(duì)吞吐部分低頻和高頻區(qū)分別進(jìn)行平抑。同時(shí)與傳統(tǒng)功率提取分量控制技術(shù)低通濾波器進(jìn)行平滑功率輸出比較,可以發(fā)現(xiàn)在相同條件下,卡爾曼功率分解平滑功率輸出更加有效,同時(shí),卡爾曼功率分解有效的解決了傳統(tǒng)低通濾波器功率分解時(shí)的時(shí)間滯后性、平抑尖峰功率不敏感性等問題。有效的提高平滑功率輸出的能力。最后,通過分析儲(chǔ)能運(yùn)行管理結(jié)構(gòu),建立以混合儲(chǔ)能綜合經(jīng)濟(jì)成本為最低的優(yōu)化目標(biāo)函數(shù),滿足多種約束條件下混合儲(chǔ)能系統(tǒng)管理控制策略模型,以實(shí)際各儲(chǔ)能單元運(yùn)行特性及穩(wěn)定性為定性指標(biāo),結(jié)合實(shí)際問題提出了基于遺傳算法的混合儲(chǔ)能容量?jī)?yōu)化配置的方法。在MATLAB平臺(tái)中構(gòu)建混合儲(chǔ)能系統(tǒng)仿真,通過算例和優(yōu)化后儲(chǔ)能裝置的荷電狀態(tài)(SOC)的波動(dòng)范圍,驗(yàn)證該儲(chǔ)能容量配置方法的有效性。
[Abstract]:In recent years, as a new type of energy, wind power has been greatly developed with the advantages of cleanliness, environmental protection and non-pollution. However, wind power generation has the disadvantages of strong fluctuation, great indirectness, instability and so on. The reliability of wind farm power generation is uncertain. Meanwhile, large-scale wind power grid connection can cause severe voltage and frequency oscillation in the power grid. The energy storage system has a flexible and effective way to suppress the fluctuation of wind power and reduce its disturbance to the power system. The economy of combined wind energy storage system is mainly reflected in the effective allocation of energy storage capacity. Therefore, it has important economic and engineering practical significance for the rational allocation of energy storage capacity. The emphasis is on the power extraction operation control strategy and the optimal configuration of energy storage capacity of the combined wind-storage system. By analyzing the characteristics of centralized wind power fluctuation, it is shown that it is necessary to use the energy storage system to stabilize the power fluctuation. The mathematical model of doubly-fed fan, storage battery and supercapacitor energy storage device is established. The complementary characteristics of storage battery and supercapacitor are described and analyzed. The simulation model of air storage joint system is built on MATLAB/SIMULINK simulation platform, which lays a good foundation for power distribution and capacity configuration of subsequent air storage joint system. Based on adaptive Kalman power decomposition, a wind power hybrid energy storage capacity allocation method is proposed, in which the optimal filtering theory is combined with the combined wind storage system by using the time-varying domain regressive estimation method. The output power of wind power is decomposed by Kalman method, and the output power part of grid-connected power is separated from that of energy storage device. According to the complementary characteristics of batteries and supercapacitors, At the same time, compared with the traditional power extraction component control technique, the smooth power output of the low-pass filter can be found under the same conditions. Kalman power decomposition smoothing power output is more efficient, meanwhile, Kalman power decomposition effectively solves the time lag of power decomposition of traditional low-pass filter. Finally, by analyzing the operation management structure of energy storage, an optimization objective function with the lowest economic cost of hybrid energy storage is established. The management and control strategy model of hybrid energy storage system under various constraints is satisfied. The operation characteristics and stability of actual energy storage units are taken as qualitative indexes. Based on the practical problems, the optimal configuration of hybrid energy storage capacity based on genetic algorithm is proposed. The simulation of hybrid energy storage system is constructed on MATLAB platform, and the fluctuating range of the charged state of the energy storage device after optimization is calculated by an example. The effectiveness of the energy storage capacity allocation method is verified.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM614

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