風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)平滑控制方法研究
發(fā)布時間:2019-05-30 03:49
【摘要】:間歇性電源出力的隨機性和波動性與現(xiàn)代電網(wǎng)對電源的“可控、可調(diào)”要求是矛盾的,也是制約電網(wǎng)接納風(fēng)電、光伏等清潔能源的重要約束。從電網(wǎng)角度看,并網(wǎng)發(fā)電時間歇性電源是具有隨機性的擾動源,功率波動是影響電網(wǎng)的穩(wěn)定運行的主要因素。因此,有必要研究有效的功率波動控制方法平抑風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)輸出功率的波動。本文在分析風(fēng)電與光伏出力波動特性的基礎(chǔ)上,以充分利用風(fēng)電場、光伏電站自身的可調(diào)度性,盡量減少儲能設(shè)備的充放電頻率為目標(biāo),提出了一種功率平滑模式下風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)的功率平滑控制方法,通過預(yù)先調(diào)度和實時平抑兩個時間尺度,對風(fēng)力發(fā)電系統(tǒng)、光伏發(fā)電系統(tǒng)、儲能設(shè)備進行協(xié)調(diào)控制,達到平抑輸出總功率波動的目的。具體研究內(nèi)容如下:(1)由于在功率平滑模式下,風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)不存在功率電網(wǎng)調(diào)度值,因此在預(yù)先調(diào)度中以平滑系統(tǒng)輸出功率波動為目標(biāo),基于風(fēng)電場、光伏電站功率預(yù)測信息,計算系統(tǒng)發(fā)電功率曲線,包括風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)發(fā)電功率曲線,以及風(fēng)、光子系統(tǒng)發(fā)電功率曲線、儲能充放電功率曲線?刂聘髯酉到y(tǒng)按照發(fā)電功率曲線進行發(fā)電,達到平滑系統(tǒng)總輸出功率波動的目的。(2)由于預(yù)先調(diào)度中的發(fā)電功率曲線基于風(fēng)光功率預(yù)測信息,無法避免預(yù)測誤差的影響,有必要利用儲能設(shè)備實時平抑系統(tǒng)實際輸出功率波動。因此設(shè)計了一種實時調(diào)整權(quán)重系數(shù)的加權(quán)移動平均濾波算法,計算儲能設(shè)備的充放電功率;進一步為了避免儲能過充過放,以維持儲能設(shè)備荷電狀態(tài)處于合理范圍為目標(biāo),采用模糊控制理論設(shè)計了儲能設(shè)備荷電狀態(tài)的控制策略,達到在維持儲能荷電狀態(tài)處于合理水平的前提下有效平滑系統(tǒng)輸出功率波動的目的。(3)基于Matlab/Simulink,計算風(fēng)光儲聯(lián)合發(fā)電系統(tǒng)發(fā)電功率曲線,風(fēng)電場、光伏電站發(fā)電功率曲線,以及儲能設(shè)備充放電功率曲線,并設(shè)計仿真實驗驗證儲能設(shè)備實時功率平抑策略以及儲能SOC模糊控制策略的有效性。仿真結(jié)果表明:應(yīng)用本文功率平滑控制方法,最終得到的系統(tǒng)輸出功率波動率較小滿足國家并網(wǎng)要求,并且儲能荷電狀態(tài)維持在較合理的水平。
[Abstract]:The randomness and volatility of intermittent power supply are contradictory to the "controllable and adjustable" requirements of power supply in modern power grid, and it is also an important constraint that restricts the power grid to accept clean energy such as wind power and photovoltaic. From the point of view of power grid, the time hysterical power supply for grid-connected power generation is a random disturbance source, and power fluctuation is the main factor affecting the stable operation of power grid. Therefore, it is necessary to study an effective power fluctuation control method to suppress the output power fluctuation of wind storage combined power generation system. On the basis of analyzing the fluctuation characteristics of wind power and photovoltaic output, this paper aims to make full use of wind farm and the schedulability of photovoltaic power station itself, and to reduce the charging and discharging frequency of energy storage equipment as much as possible. In this paper, a power smoothing control method for wind power generation system, photovoltaic power generation system and energy storage equipment is proposed. The wind power generation system, photovoltaic power generation system and energy storage equipment are coordinated and controlled by two time scales: pre-scheduling and real-time suppression. To achieve the purpose of calming down the fluctuation of total output power. The specific research contents are as follows: (1) because there is no power grid adjustment value in the wind power storage combined power generation system in the power smoothing mode, the output power fluctuation of the smoothing system is taken as the goal in the advance dispatching, based on the wind farm. The power prediction information of photovoltaic power station is calculated, including the power curve of wind and photonic system, and the power curve of energy storage and discharge. Each subsystem is controlled to generate electricity according to the power curve of power generation, so as to smooth the fluctuation of the total output power of the system. (2) because the power curve of power generation in advance scheduling is based on the prediction information of wind power, the influence of prediction error can not be avoided. It is necessary to use energy storage equipment to suppress the actual output power fluctuation of the system in real time. Therefore, a weighted moving average filtering algorithm which adjusts the weight coefficient in real time is designed to calculate the charge and discharge power of the energy storage equipment. Furthermore, in order to avoid overcharge and overdischarge of energy storage, in order to keep the charging state of energy storage equipment in a reasonable range, the control strategy of charging state of energy storage equipment is designed by using fuzzy control theory. To achieve the purpose of effectively smoothing the output power fluctuation of the system while maintaining the energy storage and charging state at a reasonable level. (3) based on Matlab/Simulink, the power curve and wind farm of the wind storage combined power generation system are calculated. The power curve of photovoltaic power station and the charging and discharging power curve of energy storage equipment are verified by simulation experiments to verify the effectiveness of real-time power suppression strategy and SOC fuzzy control strategy of energy storage equipment. The simulation results show that the output power volatility of the system is small enough to meet the requirements of national grid connection, and the state of energy storage and charge is maintained at a reasonable level by using the power smoothing control method in this paper.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM61
本文編號:2488499
[Abstract]:The randomness and volatility of intermittent power supply are contradictory to the "controllable and adjustable" requirements of power supply in modern power grid, and it is also an important constraint that restricts the power grid to accept clean energy such as wind power and photovoltaic. From the point of view of power grid, the time hysterical power supply for grid-connected power generation is a random disturbance source, and power fluctuation is the main factor affecting the stable operation of power grid. Therefore, it is necessary to study an effective power fluctuation control method to suppress the output power fluctuation of wind storage combined power generation system. On the basis of analyzing the fluctuation characteristics of wind power and photovoltaic output, this paper aims to make full use of wind farm and the schedulability of photovoltaic power station itself, and to reduce the charging and discharging frequency of energy storage equipment as much as possible. In this paper, a power smoothing control method for wind power generation system, photovoltaic power generation system and energy storage equipment is proposed. The wind power generation system, photovoltaic power generation system and energy storage equipment are coordinated and controlled by two time scales: pre-scheduling and real-time suppression. To achieve the purpose of calming down the fluctuation of total output power. The specific research contents are as follows: (1) because there is no power grid adjustment value in the wind power storage combined power generation system in the power smoothing mode, the output power fluctuation of the smoothing system is taken as the goal in the advance dispatching, based on the wind farm. The power prediction information of photovoltaic power station is calculated, including the power curve of wind and photonic system, and the power curve of energy storage and discharge. Each subsystem is controlled to generate electricity according to the power curve of power generation, so as to smooth the fluctuation of the total output power of the system. (2) because the power curve of power generation in advance scheduling is based on the prediction information of wind power, the influence of prediction error can not be avoided. It is necessary to use energy storage equipment to suppress the actual output power fluctuation of the system in real time. Therefore, a weighted moving average filtering algorithm which adjusts the weight coefficient in real time is designed to calculate the charge and discharge power of the energy storage equipment. Furthermore, in order to avoid overcharge and overdischarge of energy storage, in order to keep the charging state of energy storage equipment in a reasonable range, the control strategy of charging state of energy storage equipment is designed by using fuzzy control theory. To achieve the purpose of effectively smoothing the output power fluctuation of the system while maintaining the energy storage and charging state at a reasonable level. (3) based on Matlab/Simulink, the power curve and wind farm of the wind storage combined power generation system are calculated. The power curve of photovoltaic power station and the charging and discharging power curve of energy storage equipment are verified by simulation experiments to verify the effectiveness of real-time power suppression strategy and SOC fuzzy control strategy of energy storage equipment. The simulation results show that the output power volatility of the system is small enough to meet the requirements of national grid connection, and the state of energy storage and charge is maintained at a reasonable level by using the power smoothing control method in this paper.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM61
【參考文獻】
相關(guān)期刊論文 前5條
1 李霄;胡長生;劉昌金;徐德鴻;;基于超級電容儲能的風(fēng)電場功率調(diào)節(jié)系統(tǒng)建模與控制[J];電力系統(tǒng)自動化;2009年09期
2 張野;郭力;賈宏杰;李占鷹;陸志剛;;基于電池荷電狀態(tài)和可變?yōu)V波時間常數(shù)的儲能控制方法[J];電力系統(tǒng)自動化;2012年06期
3 邱培春;葛寶明;畢大強;;基于蓄電池儲能的光伏并網(wǎng)發(fā)電功率平抑控制研究[J];電力系統(tǒng)保護與控制;2011年03期
4 張雪莉;劉其輝;馬會萌;李蓓;;光伏電站輸出功率影響因素分析[J];電網(wǎng)與清潔能源;2012年05期
5 丁明;林根德;陳自年;羅亞橋;趙波;;一種適用于混合儲能系統(tǒng)的控制策略[J];中國電機工程學(xué)報;2012年07期
,本文編號:2488499
本文鏈接:http://sikaile.net/kejilunwen/dianlilw/2488499.html
最近更新
教材專著