本文選題：低碳電力 + 碳交易機(jī)制　； 參考：《燕山大學(xué)》2014年碩士論文

【摘要】：作為碳排放的主要來源之一，電力行業(yè)具有巨大的減排潛力和明顯的可優(yōu)化空間，大力發(fā)展低碳電力對于低碳經(jīng)濟(jì)的實施及電力行業(yè)可持續(xù)發(fā)展具有重要意義。實施碳交易機(jī)制，可鼓勵發(fā)電企業(yè)積極響應(yīng)節(jié)能減排政策，碳交易機(jī)制的開展對電力系統(tǒng)的低碳減排產(chǎn)生積極影響。另外，風(fēng)力發(fā)電作為最具競爭力的清潔能源之一，促進(jìn)了電力系統(tǒng)低碳化的發(fā)展進(jìn)程，但風(fēng)電出力的隨機(jī)性和不可控性增加了電力系統(tǒng)的調(diào)度難度�；谝陨戏治�，本文對基于碳交易的含風(fēng)電場電力系統(tǒng)低碳經(jīng)濟(jì)調(diào)度問題進(jìn)行了如下研究： 首先，介紹了碳交易的內(nèi)涵、原理和碳排放權(quán)的初始分配方案。另外，對典型的電力系統(tǒng)調(diào)度模型進(jìn)行了概述；針對風(fēng)力發(fā)電的特性，介紹了風(fēng)電出力的隨機(jī)選取方法以及模型構(gòu)建的隨機(jī)規(guī)劃方法，并分析了風(fēng)力發(fā)電對電力系統(tǒng)調(diào)度的影響。 其次，為了兼顧系統(tǒng)排放的低碳性和電能生產(chǎn)的經(jīng)濟(jì)性，提出一種新型的低碳經(jīng)濟(jì)調(diào)度模型，其包含了基于碳交易的低碳調(diào)度目標(biāo)及考慮旋轉(zhuǎn)備用補(bǔ)償成本和風(fēng)電場負(fù)效率運(yùn)行補(bǔ)償成本的經(jīng)濟(jì)調(diào)度目標(biāo)。采用基于自然選擇的混合粒子群算法進(jìn)行優(yōu)化求解，仿真算例比較了不同目標(biāo)函數(shù)的調(diào)度模式，分析了碳交易價格變化對調(diào)度結(jié)果的影響，結(jié)果表明所提優(yōu)化模型有效可行，算法合理。 最后，，建立基于碳交易的多目標(biāo)低碳經(jīng)濟(jì)調(diào)度模型。模型包含了系統(tǒng)購電費用最小的經(jīng)濟(jì)調(diào)度目標(biāo)和系統(tǒng)碳交易費用最低的低碳調(diào)度目標(biāo)，建立了平均購電費用、風(fēng)電價格補(bǔ)貼、機(jī)組平均出力份額等評價指標(biāo)。采用改進(jìn)的多目標(biāo)粒子群算法進(jìn)行求解，仿真算例表明，改進(jìn)算法有效可行，多目標(biāo)調(diào)度模型實現(xiàn)了調(diào)度系統(tǒng)低碳性和經(jīng)濟(jì)性的雙重目標(biāo)，碳交易機(jī)制的實施促進(jìn)了風(fēng)電的布局優(yōu)化并提高了清潔發(fā)電機(jī)組的利用率。
[Abstract]:As one of the main sources of carbon emissions, the power industry has a huge potential for emission reduction and obvious room for optimization. It is of great significance to develop low-carbon electricity for the implementation of low-carbon economy and the sustainable development of power industry. The implementation of carbon trading mechanism can encourage power generation enterprises to respond positively to energy-saving and emission reduction policies, and the development of carbon trading mechanism has a positive impact on the low carbon emission reduction in power system. In addition, wind power generation, as one of the most competitive clean energy, promotes the development of low carbonization of power system, but the randomness and uncontrollability of wind power increase the difficulty of power system scheduling. Based on the above analysis, this paper studies the low carbon economic dispatch problem of wind farm power system based on carbon trading as follows: Firstly, the connotation, principle and initial allocation scheme of carbon emission rights are introduced. In addition, the typical dispatching model of power system is summarized, the random selection method of wind power output and the stochastic programming method of model construction are introduced according to the characteristics of wind power generation. The influence of wind power generation on power system dispatching is analyzed. Secondly, in order to take into account the low carbon emission and the economy of electric energy production, a new low carbon economic scheduling model is proposed. It includes a low carbon scheduling target based on carbon trading and an economic scheduling target considering the compensation cost of rotation reserve and the negative efficiency of wind farm. The hybrid particle swarm optimization algorithm based on natural selection is used to solve the problem. Simulation examples are given to compare the scheduling modes of different objective functions, and the effects of carbon transaction price changes on scheduling results are analyzed. The results show that the proposed optimization model is effective and feasible. The algorithm is reasonable. Finally, a multi-objective low-carbon economy scheduling model based on carbon trading is established. The model includes the economic dispatching target with the minimum power purchase cost and the low carbon scheduling target with the lowest carbon transaction cost. The evaluation indexes such as average power purchase cost, wind power price subsidy and unit average output share are established. The improved multi-objective particle swarm optimization algorithm is used to solve the problem. The simulation example shows that the improved algorithm is effective and feasible, and the multi-objective scheduling model achieves the dual goals of low carbon and economy of the scheduling system. The implementation of carbon trading mechanism promotes the layout optimization of wind power and improves the utilization ratio of clean generators.
【學(xué)位授予單位】：燕山大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM614;TM73

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