【摘要】：隨著能源與環(huán)境問題的日趨嚴(yán)重,新能源發(fā)電得到了長足的發(fā)展。風(fēng)能作為一種新型的可再生清潔能源,已被國家列為綠色能源產(chǎn)業(yè)的重點(diǎn)發(fā)展項(xiàng)目。然而,風(fēng)電的隨機(jī)性和間歇性特點(diǎn)給系統(tǒng)的調(diào)度帶來了挑戰(zhàn)。因此,研究含風(fēng)電并網(wǎng)的環(huán)境經(jīng)濟(jì)調(diào)度已成為當(dāng)下的熱門課題。本文研究風(fēng)電并網(wǎng)后系統(tǒng)環(huán)境經(jīng)濟(jì)調(diào)度的建模與計(jì)算問題。針對(duì)風(fēng)電預(yù)測(cè)誤差引起的備用容量缺額,采用購買可中斷負(fù)荷的方式進(jìn)行填補(bǔ),建立了考慮可中斷負(fù)荷的環(huán)境經(jīng)濟(jì)調(diào)度模型。目標(biāo)函數(shù)中考慮了機(jī)組煤耗成本、環(huán)境污染成本、閥點(diǎn)效應(yīng)能耗成本和可中斷負(fù)荷補(bǔ)償成本。針對(duì)風(fēng)電的不確定性,在風(fēng)速服從雙參數(shù)的威布爾(weibull)分布的假設(shè)條件下,采用風(fēng)速-風(fēng)能轉(zhuǎn)化曲線和蒙特卡羅方法預(yù)測(cè)風(fēng)電的出力。針對(duì)直流潮流,運(yùn)用條件風(fēng)險(xiǎn)價(jià)值(CVaR)方法刻畫各支路負(fù)載率不滿足安全運(yùn)行的概率,從而構(gòu)建了系統(tǒng)安全運(yùn)行約束下的單時(shí)段環(huán)境經(jīng)濟(jì)調(diào)度模型。進(jìn)而,將單時(shí)段的環(huán)境經(jīng)濟(jì)調(diào)度問題推廣到多時(shí)段,結(jié)合機(jī)組的爬坡約束,建立了系統(tǒng)安全運(yùn)行約束下的多時(shí)段環(huán)境經(jīng)濟(jì)調(diào)度模型。本文建立的環(huán)境經(jīng)濟(jì)調(diào)度模型與隨機(jī)優(yōu)化問題,采用罰函數(shù)方法、光滑化技術(shù)和樣本平均方法相結(jié)合一類新的光滑化罰樣本平均算法進(jìn)行求解。首先對(duì)模型進(jìn)行罰函數(shù)處理,使其變?yōu)闊o不等式約束的優(yōu)化問題；進(jìn)而基于樣本平均方法計(jì)算模型中的期望值,針對(duì)模型的不連續(xù)特性,采用光滑化技術(shù)進(jìn)行處理,使其連續(xù)可導(dǎo)。以IEEE30節(jié)點(diǎn)系統(tǒng)對(duì)本文所提出的模型進(jìn)行仿真分析,分析了在不同風(fēng)險(xiǎn)約束、不同置信水平、風(fēng)電并網(wǎng)前后、閥點(diǎn)效應(yīng)、可中斷負(fù)荷補(bǔ)償成本和不同風(fēng)電預(yù)測(cè)誤差對(duì)調(diào)度結(jié)果的影響,驗(yàn)證了模型與算法的合理性。
[Abstract]:With the increasingly serious energy and environmental problems, new energy generation has been greatly developed. As a new type of renewable clean energy, wind energy has been listed as the key development project of green energy industry. However, the randomness and intermittency of wind power bring challenges to system scheduling. Therefore, the study of environmental economic scheduling with wind power grid has become a hot topic. In this paper, the modeling and calculation of environmental and economic dispatching after wind power grid connection are studied. In view of the reserve capacity shortage caused by wind power prediction error, an environmental economic scheduling model considering interruptible load is established by using the method of purchasing interruptible load. The cost of coal consumption, environmental pollution, valve point effect and interruptible load compensation are considered in the objective function. In view of the uncertainty of wind power, under the assumption that wind speed obeys Weibull (weibull) distribution with two parameters, wind speed conversion curve and Monte Carlo method are used to predict wind power generation. For DC power flow, the conditional risk value (CVaR) method is used to describe the probability that the load rate of each branch does not satisfy the safe operation, and a single time period environmental economic scheduling model is constructed under the constraint of system safe operation. Furthermore, the single-period environmental economic scheduling problem is extended to multi-time periods, and a multi-period environmental economic scheduling model under the system safe operation constraints is established by combining the climbing constraints of the units. In this paper, the environmental economic scheduling model and stochastic optimization problem are solved by using penalty function method, smoothing technique and sample average method combined with a new smoothing penalty sample average algorithm. Firstly, the penalty function of the model is processed to make it an optimization problem without inequality constraints, and then based on the sample average method to calculate the expected value of the model, the smoothing technique is used to deal with the discontinuity of the model. Make it continuously derivable. The model proposed in this paper is simulated and analyzed with IEEE30 node system. The valve point effect is analyzed in different risk constraints, different confidence levels and before and after wind power grid connection. The effect of interruptible load compensation cost and forecasting error of different wind power on the scheduling results is verified and the rationality of the model and algorithm is verified.
【學(xué)位授予單位】：長沙理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM73

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 邱威;張建華;劉念;;含大型風(fēng)電場(chǎng)的環(huán)境經(jīng)濟(jì)調(diào)度模型與解法[J];中國電機(jī)工程學(xué)報(bào);2011年19期

，

本文編號(hào)：2287700