本文選題：機(jī)組組合 + 混合整數(shù)二階錐規(guī)劃��； 參考：《廣西大學(xué)》2014年博士論文

【摘要】：考慮低碳環(huán)境下的碳交易和碳稅政策、權(quán)衡魯棒利潤(rùn)和電價(jià)風(fēng)險(xiǎn)、合理制定含風(fēng)電場(chǎng)發(fā)電機(jī)組的最優(yōu)調(diào)度方案,以期減少耗煤所排放的二氧化碳、消納風(fēng)電波動(dòng)的影響、降低發(fā)電成本,對(duì)大力推進(jìn)節(jié)約型社會(huì)的建設(shè),促進(jìn)社會(huì)經(jīng)濟(jì)效益的進(jìn)一步提高,具有顯著的理論意義和現(xiàn)實(shí)價(jià)值。然而,極其復(fù)雜的低碳政策、電價(jià)波動(dòng)和風(fēng)電波動(dòng)等因素,以及它們之間的相互作用,導(dǎo)致現(xiàn)有的相關(guān)理論無(wú)法有效研究發(fā)電優(yōu)化調(diào)度問(wèn)題。為此,本論文研究了低碳環(huán)境下基于成本和利潤(rùn)的機(jī)組組合模型求解策略、考慮碳交易和碳稅的機(jī)組組合建模及求解、計(jì)及魯棒利潤(rùn)和風(fēng)險(xiǎn)價(jià)值的發(fā)電優(yōu)化調(diào)度模型及求解、風(fēng)場(chǎng)風(fēng)電容量的分配方法、以及含風(fēng)電波動(dòng)和碳交易的機(jī)組組合模型及求解等系列問(wèn)題。論文共分為六章,第一章為緒論,第二章至第五章為主要研究工作,第六章對(duì)全文進(jìn)行了總結(jié)。本文主要研究成果如下：第二章討論了發(fā)電優(yōu)化調(diào)度的基于成本的機(jī)組組合模型和基于利潤(rùn)的機(jī)組組合模型,并研究了兩個(gè)模型的求解策略。首先利用一個(gè)更緊的二階錐松弛方法將兩個(gè)模型的混合整數(shù)二次規(guī)劃形式轉(zhuǎn)化為混合整數(shù)二階錐規(guī)劃形式。進(jìn)一步,提出二階錐線性化方法將混合整數(shù)二階錐規(guī)劃形式轉(zhuǎn)化為混合整數(shù)線性規(guī)劃形式。仿真結(jié)果表明,本文所構(gòu)造的混合整數(shù)線性規(guī)劃模型是解決機(jī)組組合問(wèn)題更好的求解策略,能獲得高質(zhì)量的次優(yōu)解。第三章提出考慮碳交易和碳稅的發(fā)電優(yōu)化調(diào)度模型和求解方法,并對(duì)碳交易和碳稅機(jī)制進(jìn)行了比較分析。首先,建立了基于碳交易的發(fā)電優(yōu)化調(diào)度模型,該模型不僅考慮了碳排放配額約束,同時(shí)也考慮了碳排放權(quán)交易；基于分段線性化和二階錐線性化方法,提出一種求解考慮碳交易的發(fā)電優(yōu)化調(diào)度問(wèn)題的新方法。其次,建立了考慮碳稅的發(fā)電優(yōu)化調(diào)度模型,可分析不同碳稅場(chǎng)景對(duì)發(fā)電商利潤(rùn)和碳排放的影響；利用二階錐線性化方法將考慮碳稅的發(fā)電優(yōu)化調(diào)度模型轉(zhuǎn)化為混合整數(shù)線性規(guī)劃進(jìn)行求解。最后,從減排效果和抑制需求兩方面對(duì)碳交易和碳稅機(jī)制進(jìn)行了比較分析。10機(jī)組24時(shí)段系統(tǒng)上進(jìn)行仿真計(jì)算,驗(yàn)證了上述模型和方法的有效性。第四章提出計(jì)及條件魯棒利潤(rùn)和碳交易的發(fā)電優(yōu)化調(diào)度模型和求解方法。首先,考慮電價(jià)波動(dòng)對(duì)發(fā)電商利潤(rùn)的影響,定義條件魯棒利潤(rùn)和最壞情況條件魯棒利潤(rùn),將基于利潤(rùn)的機(jī)組組合模型拓展到基于條件魯棒利潤(rùn)和最壞情況條件魯棒利潤(rùn)的機(jī)組組合模型。進(jìn)一步,考慮碳交易,建立了計(jì)及條件魯棒利潤(rùn)和碳交易的發(fā)電優(yōu)化調(diào)度模型。借助蒙特卡羅方法模擬電價(jià)場(chǎng)景,將所建模型轉(zhuǎn)化為混合整數(shù)二階錐規(guī)劃進(jìn)行求解。通過(guò)10機(jī)24時(shí)段系統(tǒng)的算例仿真,驗(yàn)證了所建模型和求解方法的有效性。發(fā)電商可以利用該模型優(yōu)化發(fā)電,平衡利潤(rùn)和風(fēng)險(xiǎn),根據(jù)碳市場(chǎng)價(jià)格的高低做出相應(yīng)的碳交易策略。第五章提出平抑風(fēng)電波動(dòng)的多風(fēng)場(chǎng)風(fēng)電容量的分配方法,并建立了含風(fēng)電和碳交易的機(jī)組組合模型。首先,運(yùn)用Copula函數(shù)分析了風(fēng)電場(chǎng)風(fēng)速的相關(guān)關(guān)系,并構(gòu)造了適合風(fēng)電場(chǎng)的均值-方差模型優(yōu)化各風(fēng)場(chǎng)風(fēng)電容量的分配。進(jìn)一步,考慮到均值-方差對(duì)參數(shù)靈敏的特點(diǎn),提出基于魯棒優(yōu)化思想的多風(fēng)場(chǎng)魯棒優(yōu)化模型,并在盒式不確定集和橢球不確定集下將該模型轉(zhuǎn)化為可用內(nèi)點(diǎn)法計(jì)算的線性規(guī)劃模型和二階錐規(guī)劃模型。最后,引入碳總量控制和交易模式,建立了含風(fēng)電波動(dòng)和碳交易的機(jī)組組合模型,采用二階錐線性化和分段線性化方法,將模型轉(zhuǎn)化為混合整數(shù)線性規(guī)劃形式進(jìn)行求解。10臺(tái)火電機(jī)組和1個(gè)風(fēng)電場(chǎng)仿真驗(yàn)證風(fēng)電波動(dòng)和碳價(jià)的變化對(duì)系統(tǒng)運(yùn)行成本以及碳排放量的影響。
[Abstract]:Considering the carbon trading and the carbon tax policy under the low carbon environment, weighing the robust profit and the electricity price risk, making the optimal plan for the wind farm generating set, it is expected to reduce the carbon dioxide emissions from coal consumption, reduce the influence of wind power fluctuation, reduce the cost of generating electricity, and promote the construction of the saving society and promote the social and economic benefits. Further improvement has significant theoretical and practical value. However, the extremely complex low carbon policies, electricity price fluctuations and wind power fluctuations, and their interaction have led to the existing theory that the optimal scheduling problem can not be studied effectively. Therefore, this paper studies the cost and profit based on the low carbon environment. Unit combination model solving strategy, considering the modeling and solving of unit combination of carbon trading and carbon tax, generating optimal scheduling model and solving of robust profit and risk value, distribution method of wind field wind capacitance, and unit combination model and solution containing wind wave and carbon trading. The paper is divided into six chapters, first The main research work and the sixth chapter are summarized in the second chapter to the fifth chapter. The main research results in this paper are as follows: the second chapter discusses the cost based unit combination model and the profit based unit combination model for the optimal scheduling of power generation, and studies the solution strategy of the two models. First, a more compact model is used. The two order cone relaxation method transforms the mixed integer two programming form of two models into the mixed integer two order cone programming. Further, the two order cone linearization method is proposed to transform the mixed integer two order cone programming form to the mixed integer linear programming. The simulation results show that the mixed integer linear programming model constructed in this paper is the model of the mixed integer linear programming. The better solution strategy to solve the problem of unit combination can obtain high quality suboptimal solution. In the third chapter, the optimal scheduling model and solution method of carbon trading and carbon tax are proposed, and the carbon transaction and carbon tax mechanism are compared and analyzed. First, a carbon trading based optimal dispatch model is established, which not only considers carbon. At the same time, the carbon emission trading is considered, and a new method to solve the optimal scheduling problem considering carbon trading is proposed based on piecewise linearization and two order cone linearization. Secondly, an optimal scheduling model with carbon tax is established to analyze the effect of different carbon tax scenes on the profit and carbon emissions of power producers. The two order cone linearization method is used to transform the optimal dispatching model of electricity generation considering carbon tax into mixed integer linear programming. Finally, the comparison and analysis of carbon trading and carbon tax mechanism are carried out from two aspects of the reduction effect and the suppression demand. The simulation of the 24 period system of the.10 unit in the 24 period system is carried out, and the above models and methods are verified. In the fourth chapter, the optimal scheduling model and solution method for robust profit and carbon trading are proposed. Firstly, the effect of the price fluctuation on the profit of the generator is considered, the robust profit and the worst case condition are defined, and the profit based unit combination model is extended to the condition robust profit and the worst case. Further, considering the carbon trading, a power generation optimization scheduling model considering the condition of the condition robust profit and carbon trading is established. The model of electricity price is simulated with the Monte Carlo method, and the model is converted to the mixed integer two order cone programming. The simulation of the 24 period system of the 10 machine is proved to be built. The model and the solution method are effective. The generator can make use of the model to optimize the power generation, balance the profit and risk, make the corresponding carbon trading strategy according to the price of the carbon market. In the fifth chapter, the distribution method of the wind capacity of the wind power fluctuation is put forward, and the unit combination model with wind power and carbon trading is established. The correlation of wind speed in wind farms is analyzed with Copula function, and a mean variance model suitable for wind farms is constructed to optimize the distribution of wind capacitance in each wind field. Further, considering the sensitivity of mean variance to parameter sensitivity, a robust optimization model of multi wind field based on robust optimization is proposed, and the box uncertainty set and ellipsoid inaccuracy are presented. In the set, the model is transformed into a linear programming model and a two order cone programming model. Finally, a combination model of wind power fluctuation and carbon trading is established by introducing the carbon total control and transaction mode. The two order cone linearization and piecewise linearization are used to convert the model into mixed integer linear programming. The effects of wind power fluctuation and carbon price change on the operation cost and carbon emissions of.10 thermal power plant and 1 wind farms are simulated.

【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TM73

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 陳海焱;陳金富;段獻(xiàn)忠;;含風(fēng)電場(chǎng)電力系統(tǒng)經(jīng)濟(jì)調(diào)度的模糊建模及優(yōu)化算法[J];電力系統(tǒng)自動(dòng)化;2006年02期

2 徐致遠(yuǎn);羅先覺(jué);牛濤;;綜合考慮電力市場(chǎng)與節(jié)能調(diào)度的火電機(jī)組組合方案[J];電力系統(tǒng)自動(dòng)化;2009年22期

3 衛(wèi)志農(nóng);向育鵬;孫國(guó)強(qiáng);黃向前;;計(jì)及碳排放含有碳捕集電廠電網(wǎng)的多目標(biāo)動(dòng)態(tài)最優(yōu)潮流[J];電網(wǎng)技術(shù);2012年12期

4 魏椺;劉鋒;梅生偉;;電力系統(tǒng)魯棒經(jīng)濟(jì)調(diào)度 (一)理論基礎(chǔ)[J];電力系統(tǒng)自動(dòng)化;2013年17期

5 馬超群;佘升翔;陳彥玲;王振全;;中國(guó)上海燃料油期貨市場(chǎng)信息溢出研究[J];管理科學(xué)學(xué)報(bào);2009年03期

6 楊洪明;劉思東;馮偉林;;電力期貨市場(chǎng)的效率研究[J];電力系統(tǒng)保護(hù)與控制;2009年04期

7 齊雪雯;謝開(kāi)貴;胡博;;風(fēng)速分布預(yù)測(cè)的指數(shù)平滑模型及其在配電網(wǎng)可靠性中的應(yīng)用[J];電力系統(tǒng)保護(hù)與控制;2012年12期

8 孫成富;周海巖;張亞紅;;基于差分進(jìn)化算法的動(dòng)態(tài)環(huán)境經(jīng)濟(jì)電力系統(tǒng)調(diào)度優(yōu)化[J];計(jì)算機(jī)科學(xué);2012年11期

9 郭三剛;管曉宏;翟橋柱;;具有爬升約束機(jī)組組合的充分必要條件[J];中國(guó)電機(jī)工程學(xué)報(bào);2005年24期

10 彭春華;;綜合環(huán)境保護(hù)及競(jìng)價(jià)風(fēng)險(xiǎn)的發(fā)電側(cè)經(jīng)濟(jì)運(yùn)行[J];中國(guó)電機(jī)工程學(xué)報(bào);2008年28期

，

本文編號(hào)：1882933