【摘要】：短期風(fēng)功率場(chǎng)景作為隨機(jī)規(guī)劃的輸入受到廣泛關(guān)注,場(chǎng)景質(zhì)量直接關(guān)系到?jīng)Q策結(jié)果的優(yōu)劣。目前大量場(chǎng)景生成方法中,缺乏對(duì)場(chǎng)景質(zhì)量的評(píng)估,為此,將短期風(fēng)電不確定性分為時(shí)間斷面上的隨機(jī)性和時(shí)段之間的波動(dòng)性,建立了場(chǎng)景質(zhì)量評(píng)估框架。以愛爾蘭電力系統(tǒng)風(fēng)電數(shù)據(jù)為樣本,對(duì)是否考慮風(fēng)電出力時(shí)段之間相關(guān)性的2類場(chǎng)景進(jìn)行評(píng)估。結(jié)果表明考慮出力相關(guān)性的場(chǎng)景,可以更好地刻畫風(fēng)電隨機(jī)性和波動(dòng)性,能夠?yàn)檎{(diào)度運(yùn)行及可靠性評(píng)估提供更有力的技術(shù)支持。
[Abstract]:Short-term wind power scene is widely concerned as the input of stochastic programming, and the quality of the scene is directly related to the quality of decision-making results. At present, there is a lack of evaluation of scene quality in a large number of scene generation methods. Therefore, the uncertainty of short-term wind power is divided into randomness on time section and volatility between time intervals, and a scene quality assessment framework is established. Using the wind power data of Irish power system as a sample, two types of scenarios considering the correlation between wind power output periods are evaluated. The results show that the scenario considering output correlation can better describe the randomness and volatility of wind power and can provide more powerful technical support for dispatching operation and reliability evaluation.
【作者單位】： 武漢大學(xué)電氣工程學(xué)院;
【基金】：高等學(xué)校博士學(xué)科點(diǎn)專項(xiàng)科研基金項(xiàng)目(20110141110032)~~
【分類號(hào)】：TM614
，

本文編號(hào)：2470541