發(fā)布時(shí)間：2018-03-02 01:34

  本文關(guān)鍵詞： 風(fēng)電并網(wǎng) 調(diào)峰容量 機(jī)組組合 和聲粒子群算法　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：現(xiàn)代工業(yè)發(fā)展所帶來的環(huán)境污染與能源危機(jī),已成為人類社會必須面對的重大問題,充分開發(fā)清潔可再生能源將是社會發(fā)展的必由之路。發(fā)展風(fēng)力發(fā)電成為建設(shè)資源節(jié)約型、環(huán)境友好型社會的重大選擇,大型風(fēng)電場并網(wǎng)發(fā)電是風(fēng)電發(fā)展的必然趨勢。而短時(shí)期內(nèi)電力系統(tǒng)的電源、電網(wǎng)結(jié)構(gòu)和儲能容量難以得到迅速改善。在面對風(fēng)電功率的隨機(jī)波動特性時(shí),分析系統(tǒng)的調(diào)峰需求并且制定合理的機(jī)組優(yōu)化調(diào)度方案,能夠?qū)ο到y(tǒng)接納風(fēng)電起到良好的促進(jìn)作用,并保障含風(fēng)電系統(tǒng)的安全經(jīng)濟(jì)運(yùn)行。 本文基于含風(fēng)電場系統(tǒng)調(diào)峰和機(jī)組組合優(yōu)化研究的現(xiàn)有成果,深入開展以下工作。針對風(fēng)電場功率波動的統(tǒng)計(jì)特性,提出風(fēng)電波動類型的劃分方法；以風(fēng)電功率概率密度函數(shù)為基礎(chǔ),建立一定置信度下的風(fēng)電場出力波動區(qū)間；并基于風(fēng)電功率預(yù)測誤差,建立風(fēng)電場出力的概率模型,作為調(diào)峰分析和機(jī)組優(yōu)化調(diào)度的基礎(chǔ)。從風(fēng)電功率與系統(tǒng)負(fù)荷變化相關(guān)性角度,提出含風(fēng)電場的系統(tǒng)調(diào)峰容量需求模型。根據(jù)系統(tǒng)內(nèi)常規(guī)機(jī)組的調(diào)峰能力,對不同的調(diào)峰需求場景下的機(jī)組調(diào)度方式和風(fēng)電接納能力進(jìn)行研究。 在系統(tǒng)的機(jī)組優(yōu)化調(diào)度問題研究中,建立了含風(fēng)電、火電和水電的機(jī)組組合優(yōu)化模型。在不同的風(fēng)電場景下,結(jié)合系統(tǒng)運(yùn)行約束條件,采用外層協(xié)調(diào)常規(guī)機(jī)組組合狀態(tài),內(nèi)層優(yōu)化負(fù)荷經(jīng)濟(jì)分配的方式,利用蟻群算法與和聲粒子群算法相結(jié)合的智能優(yōu)化算法,制定出完備可行的求解流程。最后在基于地區(qū)電網(wǎng)的測試系統(tǒng)中,運(yùn)用提出的模型求解策略,為含風(fēng)電場系統(tǒng)的實(shí)際調(diào)度問題提供合理的調(diào)度運(yùn)行方案,驗(yàn)證了本方法的實(shí)用性和有效性。
[Abstract]:The environmental pollution and energy crisis brought by modern industrial development have become a major problem that human society must face. The development of clean and renewable energy will be the only way to social development. In an environment-friendly society, grid-connected power generation by large-scale wind farms is an inevitable trend of wind power development. It is difficult to improve the power network structure and energy storage capacity rapidly. In the face of the stochastic fluctuation of wind power, the peak shaving requirement of the system is analyzed and a reasonable optimal scheduling scheme is made. It can promote the acceptance of wind power system and ensure the safe and economical operation of wind power system. Based on the existing research results of peak shaving and unit combination optimization in wind farm system, the following works are carried out in this paper. According to the statistical characteristics of wind farm power fluctuation, the classification method of wind power fluctuation type is put forward. Based on the probability density function of wind power, the fluctuation interval of wind farm output force under certain confidence level is established, and the probability model of wind farm output force is established based on wind power prediction error. As the basis of peak-shaving analysis and optimal dispatching of units, from the angle of the correlation between wind power and system load, the paper puts forward the demand model of peak shaving capacity of the system with wind farm, according to the peak-shaving ability of conventional units in the system, This paper studies the dispatching mode and wind power acceptance ability of different peak-shaving scenarios. In the study of the optimal scheduling problem of the system, a unit combination optimization model with wind power, thermal power and hydropower is established. Under different wind power scenarios, combined with the system operation constraints, the outer layer is used to coordinate the conventional unit combination state. Based on the intelligent optimization algorithm of ant colony algorithm and harmony particle swarm optimization algorithm, a complete and feasible solution flow is worked out. Finally, in the test system based on local power grid, The proposed model solution strategy is used to provide a reasonable scheduling scheme for the practical scheduling problem with wind farm system. The practicability and effectiveness of this method are verified.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM614

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