本文選題：風力發(fā)電　切入點：動態(tài)場景法　出處：《電力系統(tǒng)自動化》2017年11期 　論文類型：期刊論文

【摘要】：風電及負荷場景集作為隨機規(guī)劃調(diào)度的輸入,對決策結(jié)果影響大。為使場景集刻畫出風電及負荷的波動性,采用考慮隨機變量相關(guān)性的動態(tài)場景法生成風電、負荷及凈負荷的場景集,并從與調(diào)度接軌的角度提出相應(yīng)的指標對場景質(zhì)量進行評價。建立了一種基于here-and-now和waitand-see(HN-WS)的二階段隨機規(guī)劃調(diào)度模型。該模型包含了日前與實時的關(guān)聯(lián)性,決策過程融入了對實時場景已實現(xiàn)情況下的考慮,優(yōu)化目標涵蓋了日前階段的燃料成本及實時階段的平衡矯正期望成本。此外,為減少棄風,在調(diào)度模型中引入了激勵型需求響應(yīng),與火電機組的備用容量進行協(xié)同優(yōu)化。最后,采用愛爾蘭電網(wǎng)的風電數(shù)據(jù)、Elia電網(wǎng)的負荷數(shù)據(jù)及改進的IEEE-118節(jié)點系統(tǒng)驗證了所提調(diào)度模型的有效性。
[Abstract]:As the input of stochastic programming scheduling, wind power and load scene sets have a great influence on the decision results. In order to depict the fluctuation of wind power and load, the dynamic scene method considering the correlation of random variables is used to generate wind power. The scene set of load and net load, and the corresponding indexes to evaluate the scene quality are put forward from the point of view of the connection with scheduling. A two-stage stochastic programming scheduling model based on here-and-now and waitand-seeHN-WSis is established. The model includes the relationship between pre-day and real-time. The decision-making process incorporates consideration of the situation where the real-time scenario has been achieved, and the optimization objectives cover the fuel cost of the pre-day phase and the desired cost of balancing the correction in the real-time phase. The incentive demand response is introduced into the dispatching model to optimize the reserve capacity of thermal power units in cooperation. Finally, The effectiveness of the proposed dispatching model is verified by using the wind power data of Ireland power grid and the load data of Elia power network and the improved IEEE-118 node system.
【作者單位】： 武漢大學(xué)電氣工程學(xué)院;廣東電網(wǎng)有限責任公司電力調(diào)度控制中心;
【分類號】：TM73
，

本文編號：1626669