本文關(guān)鍵詞： CCHP 微網(wǎng) 經(jīng)濟(jì)運(yùn)行 容量配置 優(yōu)化　出處：《華南理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：冷熱電聯(lián)產(chǎn)系統(tǒng)（簡(jiǎn)稱CCHP）具有能源利用效率高，保護(hù)環(huán)境，節(jié)約能源、減少排放等優(yōu)點(diǎn)，可滿足用戶冷熱電多種形式能源需求的特點(diǎn)。隨著智能電網(wǎng)技術(shù)的應(yīng)用推廣，微網(wǎng)為新能源的接入提供了有效的承載，微網(wǎng)技術(shù)為分布式CCHP提供了靈活的運(yùn)行平臺(tái)，可以實(shí)現(xiàn)冷熱電負(fù)荷之間靈活匹配，提高整體系統(tǒng)的經(jīng)濟(jì)和社會(huì)效益。微網(wǎng)的運(yùn)行優(yōu)化是微網(wǎng)運(yùn)行管理的重要內(nèi)容，它直接影響了微網(wǎng)運(yùn)行的經(jīng)濟(jì)性、可靠性和對(duì)可再生能源的利用率。 本文針對(duì)CCHP、微網(wǎng)的系統(tǒng)結(jié)構(gòu)以及運(yùn)行優(yōu)化等開(kāi)展了下述研究工作。 （1）本文首先總結(jié)了國(guó)內(nèi)外關(guān)于微網(wǎng)以及CCHP的發(fā)展及研究現(xiàn)狀，對(duì)國(guó)內(nèi)外CCHP系統(tǒng)和微網(wǎng)的優(yōu)化研究進(jìn)行全面的總結(jié)。通過(guò)分析研究微網(wǎng)的供能結(jié)構(gòu)的基礎(chǔ)上，，建立了風(fēng)力發(fā)電機(jī)、光伏電池、微型燃?xì)廨啓C(jī)、蓄電池以及余熱處理裝置等數(shù)學(xué)模型。 （2）針對(duì)基于微型燃?xì)廨啓C(jī)的CCHP系統(tǒng)，建立了以成本最小為目標(biāo)的經(jīng)濟(jì)優(yōu)化模型，在算例中分析了冷熱電負(fù)荷比例、燃料價(jià)格、剩余電力上網(wǎng)政策、電價(jià)等對(duì)系統(tǒng)經(jīng)濟(jì)性的影響。結(jié)果表明CCHP系統(tǒng)的經(jīng)濟(jì)節(jié)能效果好，并發(fā)現(xiàn)合理的電價(jià)、燃料價(jià)格、熱電負(fù)荷比以及上網(wǎng)政策是提高CCHP系統(tǒng)經(jīng)濟(jì)性的有效手段之一。 （3）針對(duì)包含CCHP的微網(wǎng)系統(tǒng)提出了含CCHP的微網(wǎng)系統(tǒng)的經(jīng)濟(jì)運(yùn)行優(yōu)化模型，研究了發(fā)電能耗成本、運(yùn)行維護(hù)成本、折舊成本、啟停成本、聯(lián)網(wǎng)成本以及環(huán)境治理成本最小下各個(gè)機(jī)組單元出力，采用以遺傳優(yōu)化算法為求解算法，通過(guò)算例仿真探討了夏季、冬季、春秋三種季節(jié)典型負(fù)荷下，含CCHP的微網(wǎng)系統(tǒng)的運(yùn)行優(yōu)化結(jié)果，仿真結(jié)果驗(yàn)證了所提出的模型的合理性，以及含CCHP的微網(wǎng)系統(tǒng)的高效經(jīng)濟(jì)、環(huán)保性能。 （4）針對(duì)CCHP系統(tǒng)的容量配置優(yōu)化問(wèn)題提出了CCHP系統(tǒng)容量配置優(yōu)化模型，并通過(guò)算例介紹了CCHP系統(tǒng)的容量配置方法，并同時(shí)對(duì)CCHP系統(tǒng)的投資決策進(jìn)行了簡(jiǎn)單地財(cái)務(wù)分析。最后探討了CCHP系統(tǒng)發(fā)展的制約發(fā)展因素以及建議。為未來(lái)CCHP系統(tǒng)的發(fā)展提供更多的支持。
[Abstract]:CCHPs have the advantages of high energy utilization efficiency, environmental protection, energy saving and emission reduction, and can meet the needs of users in various forms of energy demand. With the application of smart grid technology, Microgrid provides an effective load bearing for new energy access, and microgrid technology provides a flexible operating platform for distributed CCHP, which can realize flexible matching between thermal and cold loads. To improve the economic and social benefits of the whole system, the operation optimization of microgrid is an important part of microgrid operation management, which directly affects the economy, reliability and utilization of renewable energy of microgrid operation. In this paper, the following research work is carried out on CCHP, microgrid system structure and operation optimization. Firstly, this paper summarizes the development and research status of microgrid and CCHP at home and abroad, and summarizes the optimization research of CCHP system and microgrid at home and abroad. Based on the analysis and study of the energy supply structure of microgrid, the wind turbine is established. Photovoltaic cells, micro gas turbines, batteries and waste heat treatment devices and other mathematical models. In view of the CCHP system based on micro gas turbine, an economic optimization model with the aim of minimum cost is established, and the cooling and heating load ratio, fuel price and residual power network policy are analyzed in an example. The results show that the CCHP system has a good economic and energy saving effect, and it is found that reasonable electricity price, fuel price, thermoelectric load ratio and access policy are one of the effective means to improve the economy of CCHP system. In this paper, the economic operation optimization model of microgrid system with CCHP is proposed for the microgrid system including CCHP. The energy cost, maintenance cost, depreciation cost, start and stop cost of power generation are studied. Taking genetic optimization algorithm as the solution algorithm, the paper discusses the typical load in summer, winter, spring and autumn through example simulation under the minimum network cost and environmental control cost. The simulation results show the rationality of the proposed model and the high efficiency, economy and environmental protection performance of the microgrid system with CCHP. 4) aiming at the problem of capacity configuration optimization of CCHP system, an optimization model of CCHP system capacity configuration is put forward, and the method of capacity configuration of CCHP system is introduced by an example. At the same time, the paper makes a simple financial analysis on the investment decision of CCHP system. Finally, it discusses the restricting factors and suggestions of the development of CCHP system, and provides more support for the development of CCHP system in the future.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM732

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 李軍軍;吳政球;譚勛瓊;陳波;;風(fēng)力發(fā)電及其技術(shù)發(fā)展綜述[J];電力建設(shè);2011年08期

2 梁才浩,段獻(xiàn)忠;分布式發(fā)電及其對(duì)電力系統(tǒng)的影響[J];電力系統(tǒng)自動(dòng)化;2001年12期

3 王建;李興源;邱曉燕;;含有分布式發(fā)電裝置的電力系統(tǒng)研究綜述[J];電力系統(tǒng)自動(dòng)化;2005年24期

4 胡濱;朱守真;鄭競(jìng)宏;滕樹(shù)龍;王連貴;楊超;黃仁樂(lè);;北京分布式能源冷熱電聯(lián)供系統(tǒng)并網(wǎng)交易研究[J];電力系統(tǒng)自動(dòng)化;2006年19期

5 魯宗相;王彩霞;閔勇;周雙喜;呂金祥;王云波;;微電網(wǎng)研究綜述[J];電力系統(tǒng)自動(dòng)化;2007年19期

6 王成山;王守相;;分布式發(fā)電供能系統(tǒng)若干問(wèn)題研究[J];電力系統(tǒng)自動(dòng)化;2008年20期

7 郭力;許東;王成山;王守相;;冷電聯(lián)供分布式供能系統(tǒng)能量?jī)?yōu)化管理[J];電力系統(tǒng)自動(dòng)化;2009年19期

8 王成山;李鵬;;分布式發(fā)電、微網(wǎng)與智能配電網(wǎng)的發(fā)展與挑戰(zhàn)[J];電力系統(tǒng)自動(dòng)化;2010年02期

9 王銳;顧偉;吳志;;含可再生能源的熱電聯(lián)供型微網(wǎng)經(jīng)濟(jì)運(yùn)行優(yōu)化[J];電力系統(tǒng)自動(dòng)化;2011年08期

10 劉楊華;吳政球;涂有慶;黃慶云;羅華偉;;分布式發(fā)電及其并網(wǎng)技術(shù)綜述[J];電網(wǎng)技術(shù);2008年15期

相關(guān)博士學(xué)位論文 前3條

1 崔明勇;微網(wǎng)多目標(biāo)優(yōu)化運(yùn)行及控制策略研究[D];華北電力大學(xué)（北京）;2011年

2 張穎媛;微網(wǎng)系統(tǒng)的運(yùn)行優(yōu)化與能量管理研究[D];合肥工業(yè)大學(xué);2011年

3 楊錦成;微型燃?xì)廨啓C(jī)冷熱電聯(lián)供系統(tǒng)集成與性能仿真研究[D];上海交通大學(xué);2009年

本文編號(hào)：1538039