本文關(guān)鍵詞：風(fēng)電場配置復(fù)合儲(chǔ)能的容量規(guī)劃與優(yōu)化控制研究　出處：《山東大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 風(fēng)電場 復(fù)合儲(chǔ)能系統(tǒng) 功率預(yù)測 超前控制 粒子群優(yōu)化

【摘要】：隨著世界經(jīng)濟(jì)的高速發(fā)展,化石能源的供應(yīng)逐漸顯露不足,與此同時(shí),國民生產(chǎn)生活水平持續(xù)快速增長,對(duì)電力需求也大幅增長。風(fēng)能具有很多優(yōu)點(diǎn),例如:分布面積廣、儲(chǔ)存含量豐富、可再生、無污染等。但風(fēng)能發(fā)電也具有明顯的缺點(diǎn):一方面,風(fēng)力發(fā)電的波動(dòng)性、隨機(jī)性和間歇性強(qiáng);另一方面,大規(guī)模風(fēng)電并網(wǎng)會(huì)對(duì)電網(wǎng)的穩(wěn)定運(yùn)行造成嚴(yán)重影響。儲(chǔ)能裝置的物理特性使之具有瞬時(shí)交換功率大、指令響應(yīng)迅速快、調(diào)節(jié)精度準(zhǔn)確等優(yōu)點(diǎn)。近些年,制造成本不斷下降,儲(chǔ)能容量不斷增加,儲(chǔ)能技術(shù)的飛速發(fā)展使得把儲(chǔ)能系統(tǒng)大規(guī)模引入電力系統(tǒng)成為現(xiàn)實(shí)。目前,針對(duì)風(fēng)電場儲(chǔ)能容量的配置及運(yùn)行策略問題,國內(nèi)外專家學(xué)者已進(jìn)行了大量的研究,但是仍然存在一定的問題。本文通過大量分析風(fēng)功率波動(dòng)特性建立以平滑功率輸出為目的目標(biāo)功率優(yōu)化計(jì)算模型,在此之上根據(jù)不同種類儲(chǔ)能裝置特性和數(shù)學(xué)模型,建立了復(fù)合儲(chǔ)能系統(tǒng)超前控制策略。本文的主要工作具體如下:第一章簡要概述本文的研究背景和意義,分析儲(chǔ)能系統(tǒng)平抑風(fēng)功率波動(dòng)的可行性。歸納總結(jié)了風(fēng)力發(fā)電技術(shù)和儲(chǔ)能技術(shù)的發(fā)展研究現(xiàn)狀,并對(duì)國內(nèi)外學(xué)者在儲(chǔ)能技術(shù)應(yīng)用于平抑風(fēng)功率波動(dòng)方面的研究現(xiàn)狀進(jìn)行分析總結(jié)。第二章對(duì)鋰離子電池、鋅鎳電池、全釩液流電池、鉛酸電池以及鈉硫電池等化學(xué)儲(chǔ)能電池的特性進(jìn)行了深入研究,為風(fēng)電場配置合適的儲(chǔ)能電池提供參考依據(jù)。最后根據(jù)風(fēng)電場周圍環(huán)境條件和不同儲(chǔ)能系統(tǒng)的物理特性,確定本文所使用的具體儲(chǔ)能電池類型。第三章為了提高風(fēng)電利用率和降低儲(chǔ)能系統(tǒng)配置容量,建立以期望功率方差最小為目標(biāo)函數(shù)的目標(biāo)功率優(yōu)化計(jì)算模型,確定最優(yōu)平抑目標(biāo)。針對(duì)不同儲(chǔ)能裝置的特性將期望功率進(jìn)行高低頻分解,進(jìn)行混合儲(chǔ)能系統(tǒng)平抑目標(biāo)分配。以儲(chǔ)能系統(tǒng)總成本最小為目標(biāo)函數(shù)構(gòu)建儲(chǔ)能容量優(yōu)化模型,并提出復(fù)合儲(chǔ)能運(yùn)行策略。最后通過實(shí)際算例驗(yàn)證本文提出的充放電策略和容量優(yōu)化計(jì)算模型可以取得較好的平抑效果和經(jīng)濟(jì)指標(biāo)。第四章為有效實(shí)現(xiàn)鉛酸蓄電池和超級(jí)電容的協(xié)調(diào)平抑,在改進(jìn)不同儲(chǔ)能平抑目標(biāo)分配的基礎(chǔ)上,基于超短期風(fēng)功率預(yù)測提出HESS的超前控制策略;然后建立超前控制模型;最后通過實(shí)際風(fēng)電場運(yùn)行數(shù)據(jù)對(duì)本文所提方法進(jìn)行驗(yàn)證分析。通過驗(yàn)證分析,結(jié)果顯示該控制方法具有較高的可靠性和優(yōu)勢(shì)。
[Abstract]:With the rapid development of the world economy, the supply of fossil energy is gradually showing insufficient. At the same time, the standard of living of national production continues to grow rapidly, and the demand for electricity is also increasing significantly. Wind energy has many advantages. For example: wide distribution, rich storage, renewable, pollution-free, but wind power also has obvious shortcomings: on the one hand, the volatility of wind power generation, randomness and intermittent; On the other hand, large-scale wind power grid connection will have a serious impact on the stable operation of the power grid. The physical characteristics of the energy storage device make it have a large instantaneous exchange power, and the command response is fast. In recent years, the manufacturing cost is decreasing, the energy storage capacity is increasing, and the rapid development of energy storage technology makes the large-scale introduction of energy storage system into the power system become a reality. Experts and scholars at home and abroad have done a lot of research on the configuration and operation strategy of wind farm energy storage capacity. However, there are still some problems. In this paper, a power optimization model for smooth power output is established by analyzing the fluctuation characteristics of wind power. Based on the characteristics and mathematical models of different kinds of energy storage devices, the advanced control strategy of composite energy storage system is established. The main work of this paper is as follows: the first chapter briefly summarizes the research background and significance of this paper. The feasibility of stabilizing wind power fluctuation in energy storage system is analyzed. The development status of wind power generation technology and energy storage technology is summarized. And domestic and foreign scholars in the application of energy storage technology to calm wind power fluctuations are analyzed and summarized. The second chapter of lithium ion battery, zinc nickel battery, all vanadium liquid flow battery. The characteristics of lead acid batteries and sodium-sulfur batteries were studied. Finally, according to the environmental conditions around the wind farm and the physical characteristics of different energy storage systems. In chapter 3, in order to improve the utilization rate of wind power and reduce the configuration capacity of the energy storage system, the objective power optimization model with the minimum expected power variance as the objective function is established in order to improve the utilization rate of wind power and reduce the configuration capacity of the energy storage system. The optimal stabilization target is determined. The expected power is decomposed into high and low frequency according to the characteristics of different energy storage devices. The optimal model of energy storage capacity is constructed by taking the minimum total cost of energy storage system as the objective function. Finally, a practical example is given to verify that the charge-discharge strategy and the capacity optimization model proposed in this paper can achieve better stabilization effect and economic index. Chapter 4th is an effective way to realize lead-acid storage. The coordination of the pool and the super capacitor. On the basis of improving the allocation of different energy storage targets, the advanced control strategy of HESS is proposed based on ultra-short-term wind power prediction. Then the advanced control model is established. Finally, the method proposed in this paper is verified and analyzed by actual wind farm operation data, and the results show that the control method has high reliability and advantages.
【學(xué)位授予單位】：山東大學(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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