本文關(guān)鍵詞： 電力系統(tǒng) 在線經(jīng)濟(jì)調(diào)度 魯棒優(yōu)化 不確定性 多目標(biāo)優(yōu)化　出處：《山東大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：風(fēng)電、光伏發(fā)電等新型能源發(fā)電方式,具有清潔、可再生優(yōu)點,緩解了我國能源壓力,但新能源發(fā)電形式多易受氣候、環(huán)境等因素的影響,具有明顯的隨機(jī)性和間歇性,此類電源大規(guī)模接入電網(wǎng)必然會增加電網(wǎng)運行中的不確定性,為電網(wǎng)的安全運行帶來隱患。在線經(jīng)濟(jì)調(diào)度,做為與控制對接的最后一步,在電網(wǎng)擾動消納上起到重要的作用,因此,對于在線經(jīng)濟(jì)調(diào)度理論的研究具有十分重要的意義。隨機(jī)規(guī)劃、模糊規(guī)劃以及魯棒優(yōu)化等多種不確定性決策方法在電網(wǎng)在線經(jīng)濟(jì)調(diào)度問題中得到應(yīng)用。其中,隨機(jī)規(guī)劃依據(jù)不確定注入量的概率分布信息,通過對各隨機(jī)場景的統(tǒng)籌考慮,給出具有概率優(yōu)性的決策結(jié)果。然而,概率信息準(zhǔn)確獲取的困難以及計算的復(fù)雜性限制了隨機(jī)規(guī)劃決策方法的應(yīng)用。模糊規(guī)劃方法采用隸屬度函數(shù)表示決策者對不確定注入量及其導(dǎo)致后果的態(tài)度,通過最大化隸屬值,獲得滿意的決策結(jié)果。然而,由于決策結(jié)果受隸屬度函數(shù)影響顯著,模糊決策結(jié)果的主觀性較強(qiáng)。魯棒優(yōu)化不同于以上兩種規(guī)劃方法,當(dāng)不確定量區(qū)間確定的情況下,其決策不需要其概率分布特征,也不夾雜決策者的主觀意愿,僅根據(jù)擾動邊界,通過尋找并滿足決策中的最“劣”情況,保證決策結(jié)果的魯棒性。目前,魯棒在線經(jīng)濟(jì)調(diào)度理論研究存在以下幾點問題：①隨著新能源的快速發(fā)展,可控機(jī)組所能接納的注入波動將無法匹配新能源接入量,百分百吸納的在線經(jīng)濟(jì)調(diào)度模型已不符合實際；②在線經(jīng)濟(jì)調(diào)度模型多偏重于保證安全性,導(dǎo)致模型保守度太高,盡管對保守度改進(jìn)方面有很多研究,但有進(jìn)一步提升的空間；③大部分線路約束模型直接運用直流潮流模型,但真正的功率注入轉(zhuǎn)移分布跟直流潮流結(jié)果有較大的不確定性,而這部分不確定性往往被忽略。本文首先提出一種電力系統(tǒng)在線經(jīng)濟(jì)調(diào)度的最大有效靜態(tài)擾動安全接納范圍法,以機(jī)組運行基點與參與因子為決策變量,構(gòu)建雙目標(biāo)模型,實現(xiàn)有效靜態(tài)擾動安全接納范圍最大化條件下的經(jīng)濟(jì)性最優(yōu)：其次,提出保守度可控的魯棒在線經(jīng)濟(jì)調(diào)度模型,通過在原有的魯棒在線經(jīng)濟(jì)調(diào)度模型兩層目標(biāo)處理中,加入控制系數(shù)β,改進(jìn)雙目標(biāo)規(guī)劃求解方法,實現(xiàn)安全性和經(jīng)濟(jì)性的折中,從而達(dá)到求解兩層目標(biāo)帕累托最優(yōu)解的目的；最后,提出計及電網(wǎng)注入轉(zhuǎn)移分布因子不確定性的魯棒在線經(jīng)濟(jì)調(diào)度方法。以系統(tǒng)運行成本為目標(biāo),結(jié)合現(xiàn)在的電網(wǎng)系統(tǒng)量測技術(shù),利用量測數(shù)據(jù)得到的注入轉(zhuǎn)移分布因子區(qū)間表達(dá)及其相應(yīng)的線路傳輸功率約束,構(gòu)建綜合考慮系統(tǒng)節(jié)點注入不確定性和注入轉(zhuǎn)移分布因子不確定性的魯棒在線經(jīng)濟(jì)調(diào)度模型,使得優(yōu)化調(diào)度結(jié)果得到進(jìn)一步符合電力系統(tǒng)的運行實際。
[Abstract]:New energy generation methods, such as wind power, photovoltaic power generation and so on, have the advantages of clean and renewable, which alleviate the energy pressure in China. However, the forms of new energy generation are easily affected by climate, environment and other factors, and have obvious randomness and intermittence. The large-scale connection of this kind of power supply to the power network will inevitably increase the uncertainty in the operation of the power network and bring hidden trouble to the safe operation of the power network. As the last step of connecting with the control, the online economic dispatch plays an important role in the elimination of the disturbance of the power network. Therefore, it is of great significance to study the theory of online economic dispatch. Stochastic programming, fuzzy programming and robust optimization are applied to the online economic dispatching problem of power network. According to the probability distribution information of the uncertain injection amount, the stochastic programming gives the decision results with probabilistic optimality through the overall consideration of each random scene. However, The difficulty of accurate acquisition of probabilistic information and the complexity of calculation limit the application of stochastic programming decision method. Fuzzy programming uses membership function to express the decision maker's attitude towards the uncertain injection quantity and its consequences. By maximizing the membership value, a satisfactory decision result is obtained. However, because the decision result is significantly influenced by membership function, the fuzzy decision result is more subjective. The robust optimization is different from the above two programming methods. When the interval of uncertainty is determined, the decision making does not need its probability distribution characteristic, nor does it include the subjective will of the decision maker, only according to the disturbance boundary, it can find and satisfy the worst case in the decision making. At present, the following problems exist in the research of robust online economic scheduling theory: 1 with the rapid development of new energy sources, the injection fluctuations that can be accepted by controllable units will not match the amount of new energy access. The 100% of the online economic scheduling model has been out of line with the actual Y2 online economic scheduling model, which is mainly focused on ensuring security, resulting in too high a conservative degree of the model, although there are many studies on the improvement of conservatism. However, most of the line constraint models with further improvement use DC power flow model directly, but the true power injection transfer distribution is uncertain with DC power flow results. However, this part of uncertainty is often ignored. In this paper, a maximum effective static disturbance safe admission range method for online economic dispatch of power system is proposed, in which the basic point of unit operation and the participation factor are taken as decision variables to construct a two-objective model. Under the condition of maximizing the safe admission range of the effective static disturbance, the economic optimization is achieved. Secondly, a robust online economic scheduling model with controllable conservatism is proposed, which is based on the original robust online economic scheduling model in the two-layer target processing. By adding the control coefficient 尾, the two-objective programming method is improved to achieve the compromise between security and economy, so as to achieve the purpose of solving the two-level objective Pareto optimal solution. This paper presents a robust online economic dispatching method, which takes into account the uncertainty of injection transfer distribution factor, aiming at system operation cost, and combining with the current measurement technology of power system. Based on the interval expression of the injection-transfer distribution factor and the corresponding transmission power constraints, a robust on-line economic scheduling model considering the uncertainties of the system node injection and the injection-transfer distribution factor is constructed. The optimal dispatching results are further in line with the actual operation of the power system.
【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TM73

【共引文獻(xiàn)】

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本文編號：1534267