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基于安全域的安全約束機(jī)組組合與風(fēng)電并網(wǎng)影響分析

發(fā)布時(shí)間:2018-08-24 11:39
【摘要】:隨著大區(qū)電網(wǎng)互聯(lián)、風(fēng)電等可再生能源發(fā)電的大量并網(wǎng),電力系統(tǒng)的運(yùn)行狀況更為復(fù)雜,安全穩(wěn)定問(wèn)題日益突出。電力系統(tǒng)調(diào)度處于保證電網(wǎng)安全穩(wěn)定運(yùn)行的第一線,亟需開(kāi)發(fā)可在電網(wǎng)日常調(diào)度中有效考慮電網(wǎng)安全穩(wěn)定約束的方法與工具。同時(shí),隨著風(fēng)電滲透率的增加,雙饋風(fēng)電場(chǎng)對(duì)電力系統(tǒng)的安全穩(wěn)定運(yùn)行提出了嚴(yán)峻的挑戰(zhàn)。針對(duì)上述問(wèn)題,本文以安全域的方法學(xué)為基礎(chǔ),開(kāi)展了如下研究: 首先,基于 安全域的邊界可用超平面近似描述‖的事實(shí),提出了一種可綜合考慮機(jī)組運(yùn)行約束、系統(tǒng)約束和網(wǎng)絡(luò)安全約束的多目標(biāo)機(jī)組組合模型。該模型具有如下重要特點(diǎn):a.首次在電力系統(tǒng)日前調(diào)度中同時(shí)計(jì)及了支路潮流約束、靜態(tài)電壓穩(wěn)定約束和暫態(tài)穩(wěn)定約束,為電力系統(tǒng)調(diào)度人員處理安全性約束提供了有效的工具;b.通過(guò)運(yùn)行點(diǎn)到安全域邊界的距離,評(píng)估調(diào)度方案的安全裕度,并將系統(tǒng)的總運(yùn)行成本和安全裕度同時(shí)作為優(yōu)化的子目標(biāo),從而為電力系統(tǒng)調(diào)度人員協(xié)調(diào)系統(tǒng)運(yùn)行的經(jīng)濟(jì)性和安全性這一矛盾提供了新的思路與方法。 其次,研究了含雙饋風(fēng)電場(chǎng)電力系統(tǒng)的小擾動(dòng)穩(wěn)定域,分析了系統(tǒng)中主要機(jī)電振蕩模態(tài)與小擾動(dòng)穩(wěn)定域邊界的對(duì)應(yīng)關(guān)系;比較了風(fēng)電場(chǎng)接入前后以及接入位置對(duì)系統(tǒng)小擾動(dòng)穩(wěn)定性的影響。通過(guò)大量仿真發(fā)現(xiàn),在工程關(guān)心的范圍內(nèi),接入雙饋風(fēng)機(jī)后,節(jié)點(diǎn)功率注入空間上電力系統(tǒng)小擾動(dòng)穩(wěn)定域的邊界仍可以用一個(gè)或少數(shù)幾個(gè)超平面近似擬合,為域的方法應(yīng)用于含雙饋風(fēng)機(jī)電力系統(tǒng)小擾動(dòng)穩(wěn)定性分析與控制奠定了基礎(chǔ)。 再次,提出了基于安全域的含風(fēng)電電力系統(tǒng)概率小擾動(dòng)穩(wěn)定分析方法。與基于特征值分析的傳統(tǒng)概率小擾動(dòng)穩(wěn)定分析方法相比,該方法具有明顯的計(jì)算優(yōu)勢(shì),可顯著降低在小擾動(dòng)穩(wěn)定分析中計(jì)及風(fēng)電、負(fù)荷等不確定性因素所帶來(lái)的計(jì)算負(fù)擔(dān)。同時(shí),建立了基于安全域的小擾動(dòng)穩(wěn)定約束優(yōu)化潮流模型,通過(guò)發(fā)電再調(diào)度與棄風(fēng)來(lái)改善風(fēng)電接入系統(tǒng)的小擾動(dòng)穩(wěn)定性;該模型克服了傳統(tǒng)方法難以顯式描述小擾動(dòng)穩(wěn)定約束的困難;通過(guò)算例驗(yàn)證了該模型的有效性。 最后,研究了節(jié)點(diǎn)功率注入空間上保證事故后含雙饋風(fēng)電場(chǎng)電力系統(tǒng)暫態(tài)穩(wěn)定的動(dòng)態(tài)安全域,比較了雙饋風(fēng)機(jī)接入前后,,系統(tǒng)動(dòng)態(tài)安全域的變化,并對(duì)其機(jī)理進(jìn)行了分析。通過(guò)大量仿真發(fā)現(xiàn),在工程關(guān)心的范圍內(nèi),接入雙饋風(fēng)機(jī)后,節(jié)點(diǎn)功率注入空間上電力系統(tǒng)動(dòng)態(tài)安全域的邊界仍可以用一個(gè)或少數(shù)幾個(gè)超平面進(jìn)行擬合,為含風(fēng)電電力系統(tǒng)的安全監(jiān)視、評(píng)估與控制提供了一種有效的工具。
[Abstract]:With the interconnection of regional power grid and a large number of grid connections of renewable power generation such as wind power, the operation status of power system is more complex, and the problem of safety and stability is becoming increasingly prominent. Power system dispatching is the first line to ensure the safe and stable operation of power network. It is urgent to develop methods and tools that can effectively consider the security and stability constraints in daily power grid dispatching. At the same time, with the increase of wind power permeability, doubly-fed wind farm poses a severe challenge to the safe and stable operation of power system. Based on the methodology of security domain, this paper has carried out the following research: firstly, the boundary based on security domain can be described by hyperplane approximation. This paper presents a multi-objective unit combination model which can comprehensively consider unit operation constraints, system constraints and network security constraints. The model has the following important characteristics: a. For the first time, branch power flow constraints, static voltage stability constraints and transient stability constraints are taken into account in power system dispatching before day, which provides an effective tool for power system dispatchers to deal with security constraints. The security margin of the scheduling scheme is evaluated by the distance between the running point and the security domain boundary, and the total operation cost and the security margin of the system are taken as the sub-objectives of the optimization at the same time. This provides a new way of thinking and method for the contradiction of economy and security of dispatching personnel in power system. Secondly, the small disturbance stability region of wind farm power system with doubly-fed wind farm is studied, and the relationship between the main electromechanical oscillation modes and the boundary of small disturbance stability region is analyzed. The influence of the wind farm before and after the access and the access position on the stability of the system is compared. Through a large number of simulations, it is found that the boundary of small disturbance stability region of power system can still be approximated by one or a few hyperplanes after the doubly-fed fan is connected into the space of node power injection within the range of engineering concern. It lays a foundation for small disturbance stability analysis and control of power system with doubly-fed fan. Thirdly, the probabilistic small disturbance stability analysis method of wind power system based on security domain is proposed. Compared with the traditional probabilistic small disturbance stability analysis method based on eigenvalue analysis, this method has obvious computational advantages and can significantly reduce the computational burden caused by uncertainties such as wind power and load in small disturbance stability analysis. At the same time, a small disturbance constrained optimal power flow model based on security domain is established to improve the small disturbance stability of wind power access system through generation rescheduling and abandonment. The model overcomes the difficulty that the traditional method is difficult to describe the stability constraint of small disturbance explicitly, and the validity of the model is verified by an example. Finally, the dynamic security domain of power system transient stability in wind farm with doubly-fed wind farm after the accident is studied in the node power injection space. The dynamic security domain changes before and after the doubly-fed fan connection are compared, and its mechanism is analyzed. Through a large number of simulations, it is found that the boundary of dynamic security domain of power system can still be fitted by one or a few hyperplanes after the doubly-fed fan is connected to the power system dynamic security domain in the space of node power injection. It provides an effective tool for safety monitoring, evaluation and control of wind power system.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TM614

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