風(fēng)電功率預(yù)測系統(tǒng)設(shè)計研究
本文選題:風(fēng)電場 + 風(fēng)功率預(yù)測。 參考:《華北電力大學(xué)》2014年碩士論文
【摘要】:由于風(fēng)電的波動性、間歇性以及反調(diào)峰特性,大規(guī)模風(fēng)電接入電網(wǎng)會對電力供需平衡、電力系統(tǒng)的安全,以及電能質(zhì)量帶來很大影響。為解決大規(guī)模風(fēng)電并網(wǎng)給電網(wǎng)調(diào)度運(yùn)行造成的困難,風(fēng)功率預(yù)測系統(tǒng)的建設(shè)顯得尤為重要。本文對風(fēng)功率預(yù)測技術(shù)理論進(jìn)行了歸納,開展了風(fēng)功率預(yù)測系統(tǒng)的設(shè)計研究。 風(fēng)功率預(yù)測通常分為超短期功率預(yù)測和短期功率預(yù)測,其中超短期功率預(yù)測主要用于實時調(diào)度,解決電網(wǎng)調(diào)頻問題;短期功率預(yù)測主要用于合理安排常規(guī)機(jī)組發(fā)電計劃,解決電網(wǎng)調(diào)峰問題。超短期風(fēng)功率預(yù)測大多采用統(tǒng)計方法和學(xué)習(xí)方法相結(jié)合的預(yù)測模型;短期風(fēng)功率預(yù)測則大多采用物理方法和學(xué)習(xí)方法相結(jié)合的預(yù)測模型。 風(fēng)功率預(yù)測系統(tǒng)主要由風(fēng)電場側(cè)風(fēng)功率預(yù)測子站、數(shù)據(jù)通信鏈路以及部署在網(wǎng)/省級調(diào)度側(cè)的風(fēng)功率預(yù)測主站系統(tǒng)三部分組成。 調(diào)度側(cè)風(fēng)功率預(yù)測主站系統(tǒng)包括硬件和軟件兩個部分,其主要作用在于進(jìn)行區(qū)域風(fēng)功率預(yù)測,并對各個風(fēng)電場風(fēng)功率預(yù)測的準(zhǔn)確性進(jìn)行考核評價。風(fēng)電場風(fēng)功率預(yù)測子站由功率預(yù)測系統(tǒng)和測風(fēng)塔兩部分設(shè)備組成,用于單個風(fēng)電場的功率預(yù)測,并向調(diào)度側(cè)主站系統(tǒng)提供實時測風(fēng)數(shù)據(jù)。主站和子站間的數(shù)據(jù)通信大多采用電力調(diào)度數(shù)據(jù)網(wǎng)。
[Abstract]:Due to the fluctuation of wind power, intermittent and anti-peaking characteristics, large-scale wind power access to the grid will have a great impact on the balance of power supply and demand, the security of power system, and the quality of power. In order to solve the difficulties caused by large-scale wind power grid connection, the construction of wind power forecasting system is particularly important. In this paper, the theory of wind power prediction technology is summarized, and the design of wind power prediction system is studied. Wind power prediction is usually divided into ultra-short term power prediction and short term power prediction, in which ultra short term power prediction is mainly used for real-time dispatching to solve the power network frequency modulation problem, and short term power prediction is mainly used for rational arrangement of generation plan for conventional generating units. To solve the problem of peak regulation in power grid. The prediction model of ultra-short-term wind power is mostly based on the combination of statistical method and learning method, while the short-term wind power prediction is mostly based on the combination of physical method and learning method. The wind power prediction system is mainly composed of wind farm wind power prediction sub-station data communication link and wind power prediction master station system deployed on the network / provincial dispatching side. The main station system of dispatching crosswind power prediction consists of hardware and software. The main function of the system is to predict the regional wind power and evaluate the accuracy of wind power prediction in each wind farm. Wind power prediction sub-station of wind farm is composed of power prediction system and wind tower. It is used to predict the power of a single wind farm and provides real-time wind measurement data to the dispatching side main station system. The data communication between master station and sub-station mostly adopts power dispatching data network.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM614
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 程序;周海;崔方;丁杰;;大容量并網(wǎng)型光伏電站功率預(yù)測預(yù)報系統(tǒng)設(shè)計[J];水電自動化與大壩監(jiān)測;2011年05期
2 張國強(qiáng);張伯明;;考慮風(fēng)電接入后二次備用需求的優(yōu)化潮流算法[J];電力系統(tǒng)自動化;2009年08期
3 白永祥;房大中;朱長勝;;內(nèi)蒙古電網(wǎng)風(fēng)電場調(diào)度管理技術(shù)支持系統(tǒng)設(shè)計與應(yīng)用[J];電力系統(tǒng)自動化;2011年07期
4 丁明,張立軍,吳義純;基于時間序列分析的風(fēng)電場風(fēng)速預(yù)測模型[J];電力自動化設(shè)備;2005年08期
5 谷興凱;范高鋒;王曉蓉;趙海翔;戴慧珠;;風(fēng)電功率預(yù)測技術(shù)綜述[J];電網(wǎng)技術(shù);2007年S2期
6 王麗婕;廖曉鐘;高陽;高爽;;風(fēng)電場發(fā)電功率的建模和預(yù)測研究綜述[J];電力系統(tǒng)保護(hù)與控制;2009年13期
7 耿天翔;丁茂生;劉純;張軍;師洪濤;;寧夏電網(wǎng)風(fēng)電功率預(yù)測系統(tǒng)開發(fā)[J];寧夏電力;2010年01期
8 嚴(yán)干貴;宋薇;楊茂;王東;熊昊;;風(fēng)電場風(fēng)功率實時預(yù)測效果綜合評價方法[J];電網(wǎng)與清潔能源;2012年05期
9 范高鋒;王偉勝;劉純;戴慧珠;;基于人工神經(jīng)網(wǎng)絡(luò)的風(fēng)電功率預(yù)測[J];中國電機(jī)工程學(xué)報;2008年34期
10 馮雙磊;王偉勝;劉純;戴慧珠;;風(fēng)電場功率預(yù)測物理方法研究[J];中國電機(jī)工程學(xué)報;2010年02期
,本文編號:2094970
本文鏈接:http://sikaile.net/kejilunwen/dianlilw/2094970.html