發(fā)布時間：2018-02-25 04:11

  本文關鍵詞： 微電網(wǎng) 隨機性 能量管理 多時間尺度 魯棒優(yōu)化　出處：《東南大學》2016年碩士論文　論文類型：學位論文

【摘要】：隨著全球經(jīng)濟發(fā)展,能源危機和環(huán)境問題日益凸顯。微電網(wǎng)作為清潔可再生能源接入電網(wǎng)的有效形式,且憑借其在分布式電源和大電網(wǎng)之間的重要協(xié)調控制作用,受到了廣泛關注。微電網(wǎng)能量優(yōu)化管理是保證微電網(wǎng)在安全穩(wěn)定運行的前提下實現(xiàn)系統(tǒng)運行經(jīng)濟性、環(huán)保性、能源利用率等目標最優(yōu)的重要手段。目前微電網(wǎng)能量管理面臨的最大問題即在于可再生能源出力受自然條件影響具有間歇性和波動性的特點,而目前的預測方法精度仍然較低,其隨機性會對系統(tǒng)經(jīng)濟穩(wěn)定運行帶來不利影響。因此,本文針對計及隨機性的微電網(wǎng)能量優(yōu)化管理開展了以下研究工作：首先,建立了光伏發(fā)電、燃料電池、儲能和負荷的能量管理模型,作為微電網(wǎng)系統(tǒng)能量管理模型的基礎。接著,從可再生能源隨機性對調度精度和系統(tǒng)魯棒性的影響兩方面考慮,提出了兩種應對隨機性的能量管理方法：一是改進多時間尺度能量管理方法。考慮到可再生能源預測精度隨時間尺度減小而提高,且不同時間尺度能量管理間具有強耦合關系,在常規(guī)多時間尺度能量管理框架的基礎上,提出了改進模型及其協(xié)調控制策略,通過一系列改進措施,實現(xiàn)對微電網(wǎng)能量管理的逐級細化、快速優(yōu)化求解以及全局和局部優(yōu)化特征的協(xié)調。并通過算例驗證了該方法應對可再生能源隨機性具有精度高、求解速度快、充分協(xié)調各時間尺度優(yōu)化等特點。二是基于魯棒優(yōu)化的能量管理方法。為了弱化對可再生能源出力預測精度的依賴性,提高系統(tǒng)面對較大擾動時的魯棒性,基于魯棒優(yōu)化理論建立了考慮可再生能源出力隨機性的微電網(wǎng)兩階段自適應魯棒優(yōu)化模型,包括解的魯棒性可控的不確定量描述方法和兩階段自適應魯棒優(yōu)化模型目標函數(shù)及約束條件,采用了column-and-constraint迭代方法進行求解,并通過算例分析了不同不確定預算情況下系統(tǒng)經(jīng)濟性的變化,驗證了該方法應對可再生能源隨機性相較于相同時間尺度的確定性優(yōu)化具有更強的魯棒性。最后,從能量管理系統(tǒng)功能、軟件架構、數(shù)據(jù)詞典等方面展開了能量管理系統(tǒng)設計研究,并針對含光伏發(fā)電、風力發(fā)電、混合儲能及負荷的微電網(wǎng)試驗系統(tǒng),進行了各功能模塊的開發(fā)應用,實現(xiàn)了微電網(wǎng)的實時運行監(jiān)控和能量管理等功能。
[Abstract]:With the development of the global economy, the energy crisis and environmental problems are becoming more and more prominent. As an effective form of clean and renewable energy access to the grid, microgrid has important coordination and control role between distributed generation and large power grid. The optimization management of microgrid energy is to ensure the system operation economy and environmental protection under the premise of safe and stable operation. At present, the biggest problem of energy management in microgrid is that the renewable energy output is intermittent and fluctuating under the influence of natural conditions, but the accuracy of the current prediction method is still low. The randomness of the system will have a negative impact on the stable operation of the system economy. Therefore, the following research work has been carried out in this paper: firstly, the photovoltaic power generation, fuel cell, photovoltaic power generation and fuel cell are established. The energy management model of energy storage and load, as the basis of energy management model of microgrid system, is considered from two aspects: the impact of randomness of renewable energy on dispatching accuracy and system robustness. Two energy management methods to deal with randomness are proposed: one is to improve the multi-time scale energy management method, considering that the prediction accuracy of renewable energy increases with the decrease of time scale, and there is a strong coupling relationship between different time scale energy management. Based on the conventional multi-time scale energy management framework, the improved model and its coordinated control strategy are proposed. Through a series of improvement measures, the micro-grid energy management can be refined step by step. The fast optimization solution and the coordination of global and local optimization features are proved to be accurate and fast in dealing with the randomness of renewable energy. Secondly, the energy management method based on robust optimization. In order to reduce the dependence on the prediction accuracy of renewable energy sources and improve the robustness of the system in the face of large disturbances, Based on robust optimization theory, a two-stage adaptive robust optimization model for microgrid considering the randomness of renewable energy output is established. It includes the uncertainty description method with controllable robustness and the objective function and constraint conditions of the two-stage adaptive robust optimization model. The column-and-constraint iterative method is used to solve the problem. An example is given to analyze the change of system economy under different uncertain budget conditions. It is proved that the proposed method is more robust than deterministic optimization of the same time scale in dealing with the randomness of renewable energy. The design and research of energy management system are carried out from the aspects of energy management system function, software architecture, data dictionary and so on, and the microgrid test system including photovoltaic power generation, wind power generation, hybrid energy storage and load is designed. The function modules are developed and applied to realize the real-time operation monitoring and energy management of microgrid.
【學位授予單位】：東南大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TM73

【參考文獻】

相關期刊論文 前10條

1 丁浩;高峰;劉坤;管曉宏;吳江;;基于魯棒優(yōu)化的含風電工業(yè)微電網(wǎng)經(jīng)濟調度模型[J];電力系統(tǒng)自動化;2015年17期

2 馬藝瑋;楊蘋;王月武;趙卓立;;微電網(wǎng)典型特征及關鍵技術[J];電力系統(tǒng)自動化;2015年08期

3 陳思;張焰;薛貴挺;孫偉卿;;考慮與電動汽車換電站互動的微電網(wǎng)經(jīng)濟調度[J];電力自動化設備;2015年04期

4 李鵬梅;臧傳治;李鶴鵬;李忠文;楊建宏;;基于光伏預測的微電網(wǎng)能源隨機優(yōu)化調度[J];傳感器與微系統(tǒng);2015年02期

5 王守相;王棟;韓亮;;考慮不確定性的微網(wǎng)日前經(jīng)濟優(yōu)化調度區(qū)間線性規(guī)劃方法[J];電力系統(tǒng)自動化;2014年24期

6 韓杏寧;黎嘉明;文勁宇;艾小猛;黎靜華;羅衛(wèi)華;;含多風電場的電力系統(tǒng)儲能魯棒優(yōu)化配置方法[J];中國電機工程學報;2015年09期

7 徐立中;易永輝;朱承治;趙波;項中明;謝穎捷;;考慮風電隨機性的微網(wǎng)多時間尺度能量優(yōu)化調度[J];電力系統(tǒng)保護與控制;2014年23期

8 吳雄;王秀麗;劉世民;祝振鵬;劉春陽;段杰;侯菲;;微電網(wǎng)能量管理系統(tǒng)研究綜述[J];電力自動化設備;2014年10期

9 彭春華;謝鵬;陳臣;;大規(guī)模光伏電站接入電網(wǎng)可調節(jié)魯棒優(yōu)化調度[J];中國電機工程學報;2014年25期

10 彭春華;謝鵬;詹驥文;孫惠娟;;基于改進細菌覓食算法的微網(wǎng)魯棒經(jīng)濟調度[J];電網(wǎng)技術;2014年09期

相關碩士學位論文 前5條

1 孫文健;光伏儲能微電網(wǎng)經(jīng)濟運行優(yōu)化策略研究[D];山東大學;2015年

2 程鳳璐;在線經(jīng)濟調度的魯棒優(yōu)化方法研究[D];山東大學;2015年

3 李興鵬;新能源并網(wǎng)的關鍵技術研究[D];浙江大學;2013年

4 白峪豪;含分布式電源的微電網(wǎng)經(jīng)濟調度模型研究[D];浙江大學;2012年

5 朱燕婷;新能源產業(yè)投資風險分析與評估體系的構建[D];浙江大學;2011年

，

本文編號：1532949