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摘要：隨著國(guó)民經(jīng)濟(jì)的發(fā)展，電力市場(chǎng)也在不斷的完善和發(fā)展，機(jī)組組合問(wèn)題成為降低成本提高收益的重要問(wèn)題。本文研究電力市場(chǎng)中的機(jī)組組合問(wèn)題，揭示競(jìng)爭(zhēng)的電力市場(chǎng)中機(jī)組組合的作用和面臨的問(wèn)題，探求解決方法，這對(duì)于考察電力市場(chǎng)的電能交易具有十分重要的理論價(jià)值和實(shí)踐指導(dǎo)意義。首先，介紹了在當(dāng)前的電力市場(chǎng)機(jī)組組合理論研究的意義及機(jī)組組合問(wèn)題的國(guó)內(nèi)外研究現(xiàn)狀。其次，由于電力工業(yè)自身的技術(shù)進(jìn)步及其運(yùn)營(yíng)環(huán)境的變化，到目前為止，機(jī)組組合的目標(biāo)函數(shù)基本可分為發(fā)電成本最小、購(gòu)電費(fèi)用最小和社會(huì)效益最大三種。本文采用了購(gòu)電費(fèi)用最小的數(shù)學(xué)模型。再次，在分析已有模型的基礎(chǔ)上，本文采用了一種解決機(jī)組組合問(wèn)題的算法混合整數(shù)規(guī)劃法。最后通過(guò)算例仿真表明本文采用的模型和算法是研究電力市場(chǎng)中的機(jī)組組合分析的有效手段。 關(guān)鍵詞：電力市場(chǎng)，機(jī)組組合，混合整數(shù)規(guī)劃法
Abstract: With the development of national economy, power market is also in constant improvement and development, the unit commitment problem has become an important problem to reduce costs to improve profitability. The thesis focuses on unit commitment problem in electricity market, aims at revealing function and question of unit commitment in competitive power market, and searching for solution methods. This has a very important theoretical value and practical significance for the inspection of the electricity market electricity transactions. Firstly, this thesis introduce the meaning of unit commitment theory in the electricity market, home and abroad research status of the unit commitment problem.Secondly, according to technological progress of the electric power industry and changes in its operating environment. So far, the objective function of unit commitment can basically be divided into three types: the minimum cost of power generation, power purchase costs and social benefits of the largest. In this paper, the thesis used the minimum cost of purchasing electricity mathematical model. Thirdly, on the basis of analysis of existing models, this paper use mixed-integer programming method to solve the unit commitment problem. Finally, by numerical examples show that the models and algorithms this paper present is an effective means of unit commitment in the electricity market. Keywords: electricity markets, unit commitment , mixed-integer programming method
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