本文選題：風能發(fā)電 + 并網(wǎng)�。� 參考：《華北電力大學》2013年碩士論文

【摘要】：隨著全球能源危機的急劇加深和對環(huán)境問題的日益關注,風電作為可再生能源中技術相對成熟、商業(yè)化發(fā)展前景良好、規(guī)�；_發(fā)條件充足的清潔能源,已經(jīng)成為世界主要大國調(diào)整能源結構的重要選擇。我國的風電行業(yè)起步較晚,近年來雖然在政策法規(guī)的指導和鼓勵下發(fā)展迅猛,但是存在個別關鍵零部件的設計技術仍然依靠國外進口,部分風電設備質(zhì)量和可靠性未能及時跟上等方面不足,嚴重影響了風電產(chǎn)業(yè)的規(guī)�；l(fā)展速度,延緩了風電產(chǎn)業(yè)經(jīng)濟性的提升速度,因此提高風電的可靠性和經(jīng)濟性,對促進風電與電網(wǎng)的協(xié)調(diào)發(fā)展起著至關重要的作用。 本文首先闡述了目前國內(nèi)外風力發(fā)電的研究現(xiàn)狀,分析了我國風電產(chǎn)業(yè)的發(fā)展存在的問題,探討了風能并入電網(wǎng)所引發(fā)的一些亟待解決的問題。其次,研究了風電場并網(wǎng)發(fā)電的可靠性影響因素,從技術和經(jīng)濟兩個視角入手,構建了風電場并網(wǎng)發(fā)電的可靠性分析模型,設計了衡量風電場并網(wǎng)發(fā)電的可靠性評價模型,探討了風電并網(wǎng)的連續(xù)性、安全性和充裕性問題,采用算例分析驗證了模型和指標的科學性和有效性。再次,一方面,從風能發(fā)電的環(huán)保角度出發(fā),提出了評價風電節(jié)能效益和減排效益的指標,建立了風能并網(wǎng)發(fā)電的節(jié)能減排效益分析模型；另一方面,從長遠角度考慮,分析了風能開發(fā)利用的環(huán)境問題,構建了風能利用的環(huán)境影響模型,并通過算例分析驗證了模型的正確性和有效性。最后,從市場角度確定了影響風電經(jīng)濟性能的因素,提出了評價風能并網(wǎng)發(fā)電的經(jīng)濟和社會效益指標,并且從盈利性和社會性兩個層面建立了風能并網(wǎng)發(fā)電的經(jīng)濟性評價體系,分別選擇了單純BP神經(jīng)網(wǎng)絡算法和改進的PSO-BP神經(jīng)網(wǎng)絡算法驗證指標的合理性,證明了后者對比于前者具有更好的網(wǎng)絡學習能力和推理能力,旨在為風電產(chǎn)業(yè)的快速發(fā)展奠定更堅實的基礎。
[Abstract]:With the rapid deepening of the global energy crisis and increasing attention to environmental issues, wind power as a renewable energy technology is relatively mature, commercial development prospects are good, large-scale development conditions are adequate clean energy, It has become an important choice for major powers in the world to adjust their energy structure. The wind power industry in China started relatively late. In recent years, although the wind power industry has developed rapidly under the guidance and encouragement of policies and regulations, there are still some key parts of the design technology imported from abroad. The lack of quality and reliability of some wind power equipment in time has seriously affected the speed of large-scale development of the wind power industry, slowed down the speed of economic upgrading of the wind power industry, and thus improved the reliability and economy of wind power. It plays an important role in promoting the coordinated development of wind power and power grid. This paper first describes the current research situation of wind power generation at home and abroad, analyzes the problems existing in the development of wind power industry in China, and discusses some problems that need to be solved urgently caused by the integration of wind energy into the power grid. Secondly, the factors influencing the reliability of grid-connected wind farm generation are studied, and the reliability analysis model of grid-connected power generation is constructed from the two perspectives of technology and economy, and the reliability evaluation model is designed to measure the grid-connected power generation of wind farm. The continuity, safety and adequacy of wind power grid are discussed. The model and index are proved to be scientific and effective by an example. Thirdly, on the one hand, from the point of view of environmental protection of wind power generation, the paper puts forward the index to evaluate the efficiency of energy saving and emission reduction of wind power, and establishes an analysis model of energy saving and emission reduction benefits of wind power grid power generation; on the other hand, from a long-term perspective, The environmental problems of wind energy exploitation and utilization are analyzed, and the environmental impact model of wind energy utilization is constructed, and the correctness and validity of the model are verified by an example. Finally, the factors that affect the economic performance of wind power are determined from the market perspective, and the economic and social indexes of wind power generation are proposed to evaluate the economic and social benefits of wind power generation, and the economic evaluation system of wind energy grid power generation is established from the profit and social aspects. The rationality of the simple BP neural network algorithm and the improved PSO-BP neural network algorithm is selected respectively, which proves that the latter has better network learning ability and reasoning ability than the former. The aim is to lay a more solid foundation for the rapid development of wind power industry.
【學位授予單位】：華北電力大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：F426.61

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