考慮源荷協(xié)調(diào)的風(fēng)電并網(wǎng)系統(tǒng)旋轉(zhuǎn)備用容量優(yōu)化
本文選題:風(fēng)電 + 棄風(fēng); 參考:《東北電力大學(xué)》2017年碩士論文
【摘要】:風(fēng)電的接入給電力系統(tǒng)帶來更大不確定性,要求電網(wǎng)公司購買更多的旋轉(zhuǎn)備用以維持電力系統(tǒng)的功率平衡和穩(wěn)定,此時僅靠常規(guī)電源參與調(diào)節(jié)、提供旋轉(zhuǎn)備用是不夠的,因此充分挖掘利用系統(tǒng)中其他旋轉(zhuǎn)備用調(diào)節(jié)資源,兼顧系統(tǒng)運(yùn)行可靠性與經(jīng)濟(jì)性的旋轉(zhuǎn)備用優(yōu)化配置具有重要意義。本文考慮可中斷負(fù)荷、棄風(fēng)作為特殊旋轉(zhuǎn)備用資源與發(fā)電側(cè)傳統(tǒng)機(jī)組旋轉(zhuǎn)備用資源的協(xié)調(diào)作用,根據(jù)風(fēng)電并網(wǎng)系統(tǒng)旋轉(zhuǎn)備用需求特點(diǎn),提出一種基于多場景的概率性旋轉(zhuǎn)備用優(yōu)化方法。首先,該方法綜合考慮風(fēng)電預(yù)測誤差、負(fù)荷波動及發(fā)電機(jī)非計(jì)劃停運(yùn)不確定性因素對旋轉(zhuǎn)備用的需求,利用蒙特卡洛仿真法對不確定性因素進(jìn)行建模。其次,根據(jù)建立的不確定性因素模型,基于場景分析方法,對系統(tǒng)所有運(yùn)行場景進(jìn)行合理縮減,獲得一組系統(tǒng)最可能的運(yùn)行狀態(tài),將系統(tǒng)中復(fù)雜多變的不確定性因素轉(zhuǎn)化成多個確定性場景問題,對不確定性因素進(jìn)行量化。此外,將需求側(cè)可中斷負(fù)荷、發(fā)電側(cè)風(fēng)電棄風(fēng)作為特殊旋轉(zhuǎn)備用資源融入發(fā)電日前調(diào)度計(jì)劃,分析計(jì)算不確定性因素、旋轉(zhuǎn)備用需求以及可中斷負(fù)荷、棄風(fēng)之間的相互關(guān)系,利用數(shù)學(xué)表達(dá)式的方式對其明確表示。最后,以系統(tǒng)購電總費(fèi)用最低為目標(biāo)函數(shù)建立本文機(jī)組組合優(yōu)化模型,在僅包含機(jī)組燃料成本、開機(jī)成本的傳統(tǒng)機(jī)組組合目標(biāo)函數(shù)基礎(chǔ)上加入了常規(guī)電源預(yù)留旋轉(zhuǎn)備用成本以及對可中斷負(fù)荷、棄風(fēng)的補(bǔ)償成本,以此降低更多旋轉(zhuǎn)備用需求對系統(tǒng)成本的影響,獲得使系統(tǒng)經(jīng)濟(jì)性最優(yōu)的各時段旋轉(zhuǎn)備用優(yōu)化配置量。通過對IEEE 30節(jié)點(diǎn)、IEEE 118節(jié)點(diǎn)系統(tǒng)進(jìn)行算例分析,驗(yàn)證了本文考慮可中斷負(fù)荷、棄風(fēng)融入的旋轉(zhuǎn)備用優(yōu)化模型能夠有效降低系統(tǒng)購電成本,節(jié)約旋轉(zhuǎn)備用資源,對風(fēng)電并網(wǎng)系統(tǒng)旋轉(zhuǎn)備用的預(yù)留以及系統(tǒng)資源的全面整合具有指導(dǎo)意義。
[Abstract]:The access of wind power brings greater uncertainty to the power system, which requires the Power Grid Corp to buy more rotating spare to maintain power balance and stability. At this time, it is not enough to use conventional power to adjust and provide rotating standby. Therefore, the other rotating spare adjustment resources in the system are fully exploited and the system operation can be taken into consideration. It is of great significance for the optimal configuration of rotating standby by sex and economy. This paper considers the coordination function of the interruptible load and the discarded wind as a special rotating reserve resource and the rotating standby resource of the traditional generating unit on the power generation side. According to the characteristics of the rotating standby requirement of the wind power grid connected system, a probabilistic rotating standby optimization method based on multi scene is proposed. First, this method comprehensively considers the demand of wind power forecast error, load fluctuation and generator unplanned outage uncertainty factors to rotating standby. Monte Carlo simulation method is used to model the uncertain factors. Secondly, based on the established uncertainty factor model, all operation scenes of the system are combined with the scenario analysis method. In order to obtain the most likely operation state of a set of systems, the complex and changeable factors in the system are transformed into multiple deterministic scene problems, and the uncertain factors are quantified. In addition, the demand side interruptible load and the power generation side wind abandon wind as special rotating spare resources are integrated into the generation scheduling plan, and the calculation is analyzed and calculated. The uncertainty factors, the rotation reserve demand, the interruptible load, the relationship between the discard and the wind, are clearly expressed in the way of mathematical expressions. Finally, this paper sets up a combination optimization model of this paper with the minimum total cost of the system purchasing power as the objective function, in the traditional unit combination of the unit fuel cost and the start-up cost. On the basis of the number, a conventional power supply is added to reserve the rotating spare cost and the compensation cost for the interruptible load and the discarded wind, in order to reduce the influence of more rotating standby demand on the system cost, and obtain the optimal configuration of the rotation reserve for the optimal time period of the system. The analysis of the IEEE 30 node and the IEEE 118 node system is carried out by an example. It is proved that the rotating standby optimization model, which considers the interruptible load in this paper, can effectively reduce the cost of power purchase and save the rotating reserve resources. It is of guiding significance to the reservation of the rotating reserve of the wind power grid connected system and the comprehensive integration of the system resources.
【學(xué)位授予單位】:東北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM614
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