風電場配置復合儲能的容量規(guī)劃與優(yōu)化控制研究
本文關(guān)鍵詞:風電場配置復合儲能的容量規(guī)劃與優(yōu)化控制研究 出處:《山東大學》2017年碩士論文 論文類型:學位論文
更多相關(guān)文章: 風電場 復合儲能系統(tǒng) 功率預測 超前控制 粒子群優(yōu)化
【摘要】:隨著世界經(jīng)濟的高速發(fā)展,化石能源的供應逐漸顯露不足,與此同時,國民生產(chǎn)生活水平持續(xù)快速增長,對電力需求也大幅增長。風能具有很多優(yōu)點,例如:分布面積廣、儲存含量豐富、可再生、無污染等。但風能發(fā)電也具有明顯的缺點:一方面,風力發(fā)電的波動性、隨機性和間歇性強;另一方面,大規(guī)模風電并網(wǎng)會對電網(wǎng)的穩(wěn)定運行造成嚴重影響。儲能裝置的物理特性使之具有瞬時交換功率大、指令響應迅速快、調(diào)節(jié)精度準確等優(yōu)點。近些年,制造成本不斷下降,儲能容量不斷增加,儲能技術(shù)的飛速發(fā)展使得把儲能系統(tǒng)大規(guī)模引入電力系統(tǒng)成為現(xiàn)實。目前,針對風電場儲能容量的配置及運行策略問題,國內(nèi)外專家學者已進行了大量的研究,但是仍然存在一定的問題。本文通過大量分析風功率波動特性建立以平滑功率輸出為目的目標功率優(yōu)化計算模型,在此之上根據(jù)不同種類儲能裝置特性和數(shù)學模型,建立了復合儲能系統(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,分析儲能系統(tǒng)平抑風功率波動的可行性。歸納總結(jié)了風力發(fā)電技術(shù)和儲能技術(shù)的發(fā)展研究現(xiàn)狀,并對國內(nèi)外學者在儲能技術(shù)應用于平抑風功率波動方面的研究現(xiàn)狀進行分析總結(jié)。第二章對鋰離子電池、鋅鎳電池、全釩液流電池、鉛酸電池以及鈉硫電池等化學儲能電池的特性進行了深入研究,為風電場配置合適的儲能電池提供參考依據(jù)。最后根據(jù)風電場周圍環(huán)境條件和不同儲能系統(tǒng)的物理特性,確定本文所使用的具體儲能電池類型。第三章為了提高風電利用率和降低儲能系統(tǒng)配置容量,建立以期望功率方差最小為目標函數(shù)的目標功率優(yōu)化計算模型,確定最優(yōu)平抑目標。針對不同儲能裝置的特性將期望功率進行高低頻分解,進行混合儲能系統(tǒng)平抑目標分配。以儲能系統(tǒng)總成本最小為目標函數(shù)構(gòu)建儲能容量優(yōu)化模型,并提出復合儲能運行策略。最后通過實際算例驗證本文提出的充放電策略和容量優(yōu)化計算模型可以取得較好的平抑效果和經(jīng)濟指標。第四章為有效實現(xiàn)鉛酸蓄電池和超級電容的協(xié)調(diào)平抑,在改進不同儲能平抑目標分配的基礎上,基于超短期風功率預測提出HESS的超前控制策略;然后建立超前控制模型;最后通過實際風電場運行數(shù)據(jù)對本文所提方法進行驗證分析。通過驗證分析,結(jié)果顯示該控制方法具有較高的可靠性和優(yōu)勢。
[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.
【學位授予單位】:山東大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TM614
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