發(fā)布時(shí)間：2018-02-25 04:11

  本文關(guān)鍵詞： 微電網(wǎng) 隨機(jī)性 能量管理 多時(shí)間尺度 魯棒優(yōu)化　出處：《東南大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：隨著全球經(jīng)濟(jì)發(fā)展,能源危機(jī)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(diào)控制作用,受到了廣泛關(guān)注。微電網(wǎng)能量?jī)?yōu)化管理是保證微電網(wǎng)在安全穩(wěn)定運(yùn)行的前提下實(shí)現(xiàn)系統(tǒng)運(yùn)行經(jīng)濟(jì)性、環(huán)保性、能源利用率等目標(biāo)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(dòng)性的特點(diǎn),而目前的預(yù)測(cè)方法精度仍然較低,其隨機(jī)性會(huì)對(duì)系統(tǒng)經(jīng)濟(jì)穩(wěn)定運(yùn)行帶來不利影響。因此,本文針對(duì)計(jì)及隨機(jī)性的微電網(wǎng)能量?jī)?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(chǔ)能和負(fù)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(chǔ)。接著,從可再生能源隨機(jī)性對(duì)調(diào)度精度和系統(tǒng)魯棒性的影響兩方面考慮,提出了兩種應(yīng)對(duì)隨機(jī)性的能量管理方法：一是改進(jìn)多時(shí)間尺度能量管理方法�？紤]到可再生能源預(yù)測(cè)精度隨時(shí)間尺度減小而提高,且不同時(shí)間尺度能量管理間具有強(qiáng)耦合關(guān)系,在常規(guī)多時(shí)間尺度能量管理框架的基礎(chǔ)上,提出了改進(jìn)模型及其協(xié)調(diào)控制策略,通過一系列改進(jìn)措施,實(shí)現(xiàn)對(duì)微電網(wǎng)能量管理的逐級(jí)細(xì)化、快速優(yōu)化求解以及全局和局部?jī)?yōu)化特征的協(xié)調(diào)。并通過算例驗(yàn)證了該方法應(yīng)對(duì)可再生能源隨機(jī)性具有精度高、求解速度快、充分協(xié)調(diào)各時(shí)間尺度優(yōu)化等特點(diǎn)。二是基于魯棒優(yōu)化的能量管理方法。為了弱化對(duì)可再生能源出力預(yù)測(cè)精度的依賴性,提高系統(tǒng)面對(duì)較大擾動(dòng)時(shí)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(jī)性的微電網(wǎng)兩階段自適應(yīng)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(yīng)魯棒優(yōu)化模型目標(biāo)函數(shù)及約束條件,采用了column-and-constraint迭代方法進(jìn)行求解,并通過算例分析了不同不確定預(yù)算情況下系統(tǒng)經(jīng)濟(jì)性的變化,驗(yàn)證了該方法應(yīng)對(duì)可再生能源隨機(jī)性相較于相同時(shí)間尺度的確定性優(yōu)化具有更強(qiáng)的魯棒性。最后,從能量管理系統(tǒng)功能、軟件架構(gòu)、數(shù)據(jù)詞典等方面展開了能量管理系統(tǒng)設(shè)計(jì)研究,并針對(duì)含光伏發(fā)電、風(fēng)力發(fā)電、混合儲(chǔ)能及負(fù)荷的微電網(wǎng)試驗(yàn)系統(tǒng),進(jìn)行了各功能模塊的開發(fā)應(yīng)用,實(shí)現(xiàn)了微電網(wǎng)的實(shí)時(shí)運(yùn)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(xué)位授予單位】：東南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TM73

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