發(fā)布時(shí)間：2018-02-12 17:43

  本文關(guān)鍵詞： 獨(dú)立微電網(wǎng) 熱電聯(lián)產(chǎn) 動(dòng)態(tài)優(yōu)化調(diào)度 動(dòng)態(tài)規(guī)劃算法　出處：《內(nèi)蒙古大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：風(fēng)能和太陽能因其儲(chǔ)量豐富以及綠色無污染的特點(diǎn),有巨大的開發(fā)潛力。微電網(wǎng)可以有效地解決分布式發(fā)電源分散接入問題,能夠充分發(fā)揮各分布式發(fā)電獨(dú)特的優(yōu)勢(shì),克服了風(fēng)力發(fā)電和光伏發(fā)電等隨機(jī)波動(dòng)性產(chǎn)生的不利影響,提高可再生能源的利用效率。由于獨(dú)立微電網(wǎng)沒有大電網(wǎng)的支持,承受可再生能源的隨機(jī)變化性影響的能力較弱。熱電聯(lián)產(chǎn)微電網(wǎng)由于系統(tǒng)同時(shí)進(jìn)行熱電聯(lián)供,增加系統(tǒng)調(diào)度的復(fù)雜性。因此,對(duì)熱電聯(lián)產(chǎn)微電網(wǎng)進(jìn)行合理的調(diào)度,可以降低風(fēng)能、太陽能發(fā)電的波動(dòng)的影響,增強(qiáng)系統(tǒng)的可靠性、降低微電網(wǎng)成本并實(shí)現(xiàn)經(jīng)濟(jì)運(yùn)行。本文的主要研究?jī)?nèi)容如下:首先,分析了獨(dú)立微電網(wǎng)熱電聯(lián)產(chǎn)系統(tǒng)結(jié)構(gòu),探討了風(fēng)力發(fā)電、光伏發(fā)電、儲(chǔ)能蓄電池、微型燃?xì)廨啓C(jī)以及電鍋爐的工作原理,并建立了各自的輸出功率模型,為微電網(wǎng)熱電聯(lián)產(chǎn)的調(diào)度策略提供了理論基礎(chǔ)。其次,建立了熱電聯(lián)產(chǎn)總體調(diào)度框架,分析了微電源運(yùn)行狀態(tài),并根據(jù)工作模式以及負(fù)荷要求等提出了各自相應(yīng)的優(yōu)化調(diào)度策略。再次,建立微電網(wǎng)熱電聯(lián)產(chǎn)優(yōu)化調(diào)度的經(jīng)濟(jì)調(diào)度模型,目標(biāo)函數(shù)考慮了各微電源的運(yùn)行維護(hù)成本、折舊損耗成本、微型燃?xì)廨啓C(jī)的燃料成本和電鍋爐運(yùn)行時(shí)的啟停成本等因素,約束條件包括各個(gè)微電源的出力、微型燃?xì)廨啓C(jī)的爬坡率、蓄電池的荷電狀態(tài)和容量等不平衡約束。利用動(dòng)態(tài)規(guī)劃算法求解獨(dú)立微電網(wǎng)熱電聯(lián)產(chǎn)系統(tǒng)的調(diào)度模型。最后,為了驗(yàn)證提出的獨(dú)立微電網(wǎng)熱電聯(lián)產(chǎn)的動(dòng)態(tài)優(yōu)化調(diào)度策略和算法的可行性,進(jìn)行了實(shí)例驗(yàn)證分析。在MATLAB下編寫動(dòng)態(tài)規(guī)劃算法優(yōu)化程序,求解優(yōu)化調(diào)度模型。優(yōu)化結(jié)果表明在各種運(yùn)行狀態(tài)下,微電網(wǎng)能夠滿足熱電負(fù)荷需求,實(shí)現(xiàn)能量平衡,同時(shí)達(dá)到經(jīng)濟(jì)運(yùn)行目標(biāo)。因此,本文提出的優(yōu)化調(diào)度策略可以實(shí)現(xiàn)熱電聯(lián)產(chǎn)微電網(wǎng)經(jīng)濟(jì)運(yùn)行。
[Abstract]:Wind and solar energy have great potential for development due to their rich reserves and green non-pollution. Microgrid can effectively solve the problem of decentralized access to distributed power generation and give full play to the unique advantages of each distributed generation. It overcomes the adverse effects of random volatility such as wind power generation and photovoltaic power generation, and improves the efficiency of renewable energy utilization. The ability to withstand the random variation of renewable energy is relatively weak. The heat and power cogeneration microgrid increases the complexity of the system scheduling because the system is cogeneration at the same time. Therefore, the heat and power cogeneration microgrid is scheduled reasonably. It can reduce the fluctuation of wind and solar power generation, enhance the reliability of the system, reduce the cost of microgrid and realize economic operation. The main contents of this paper are as follows: firstly, the structure of cogeneration system of heat and power in independent microgrid is analyzed. The working principles of wind power generation, photovoltaic power generation, energy storage battery, micro gas turbine and electric boiler are discussed, and their output power models are established, which provide a theoretical basis for the scheduling strategy of heat and power cogeneration in microgrid. The overall scheduling framework of cogeneration is established, the operation state of micro-power is analyzed, and the corresponding optimal scheduling strategies are put forward according to the working mode and load requirements. The economic dispatching model of heat and power cogeneration optimization in microgrid is established. The objective function considers the operation and maintenance cost, depreciation loss cost, fuel cost of micro gas turbine and start-up and shutdown cost of electric boiler, etc. The constraint conditions include the output force of each micro-power source, the climbing rate of the micro-gas turbine, the charging state and the capacity of the battery, and so on. The dynamic programming algorithm is used to solve the scheduling model of the cogeneration system in the independent micro-grid. Finally, the dynamic programming algorithm is used to solve the scheduling model of the cogeneration system. In order to verify the feasibility of the proposed dynamic optimal scheduling strategy and algorithm for the cogeneration of heat and power in independent microgrid, an example is given to verify and analyze the feasibility. The optimization program of dynamic programming algorithm is compiled under MATLAB. The optimization results show that the micro-grid can meet the demand of thermoelectric load, achieve energy balance, and achieve the economic operation goal under various operating conditions, the optimization results show that the micro-grid can meet the demand of thermoelectric load, achieve energy balance, and achieve the goal of economic operation. The optimal scheduling strategy proposed in this paper can realize the economic operation of cogeneration microgrid.
【學(xué)位授予單位】：內(nèi)蒙古大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM73

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本文編號(hào)：1506196