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基于響應的電力系統(tǒng)暫態(tài)穩(wěn)定性實時判別與控制技術的研究

發(fā)布時間:2019-05-16 23:09
【摘要】:基于實時廣域測量信息進行了電力系統(tǒng)暫態(tài)穩(wěn)定分析的理論探討、數(shù)學模型的建立、動態(tài)特征信息提取、受擾軌跡預測、實時暫態(tài)穩(wěn)定判據(jù)、主導失穩(wěn)模式識別及切機控制措施量化等方面的研究,研究了基于廣域?qū)崪y信息的電力系統(tǒng)暫態(tài)穩(wěn)定響應控制策略。 廣域測量系統(tǒng)可以獲得全網(wǎng)的實時動態(tài)響應數(shù)據(jù),由于測量數(shù)據(jù)是海量的,需要從海量測量數(shù)據(jù)中提取部分動態(tài)特征信息進行研究,從而避免對海量數(shù)據(jù)的處理,提高暫態(tài)穩(wěn)定分析的速度。動態(tài)特征信息必須要能全面反映系統(tǒng)受擾后的暫態(tài)穩(wěn)定過程,考慮到多機系統(tǒng)暫態(tài)穩(wěn)定問題的復雜性,單一依靠某種特征信息可能很難準確識別系統(tǒng)的穩(wěn)定性。因此,基于廣域測量信息的暫態(tài)穩(wěn)定研究,需要綜合利用多種動態(tài)特征信息。 電力系統(tǒng)受擾軌跡變化趨勢十分復雜,具有很強的非線性特性,要求在暫態(tài)穩(wěn)定受擾軌跡的預測模型必須能實時跟蹤曲線的變化趨勢,及時調(diào)整模型參數(shù)以提高預測性能。本文基于預測模型參數(shù)的特性,提出了一種預測模型參數(shù)自適應調(diào)整技術,主要目的是跟蹤受擾軌跡的非線性變化,利用最新的測量值,及時調(diào)整模型參數(shù)從而實現(xiàn)總體最優(yōu)預測性能。模型參數(shù)自適應技術主要分為內(nèi)外兩部分循環(huán)計算,內(nèi)循環(huán)計算根據(jù)預測模型得到預測結(jié)果,外循環(huán)計算基于最新測量值,根據(jù)模型參數(shù)自適應調(diào)整原則,及時修正模型參數(shù),提高模型的適應能力。 實時暫態(tài)穩(wěn)定性判據(jù)是實現(xiàn)暫態(tài)穩(wěn)定實時決策的關鍵,對多機系統(tǒng)而言,系統(tǒng)發(fā)生擾動時輸電斷面聯(lián)絡線的特征信息能有效反映兩側(cè)系統(tǒng)間的搖擺情況。本文基于聯(lián)絡線特征信息提出了一種基于功率-相角-頻率的快速判據(jù),僅使用有限的、關鍵的網(wǎng)絡特征信息進行設計,因此具有快速性和實用性。在進行失穩(wěn)識別時,首先判斷系統(tǒng)是否進入不穩(wěn)定區(qū)域,然后判斷系統(tǒng)是否有趨于失穩(wěn)的傾向,最后判斷系統(tǒng)是否會越過不穩(wěn)定平衡點;趯嶋H系統(tǒng)進行了仿真驗證,結(jié)果表明運用此判據(jù)可準確地判別暫態(tài)功角失穩(wěn)。 暫態(tài)功角失穩(wěn)與暫態(tài)電壓失穩(wěn)是故障后系統(tǒng)在暫態(tài)過程中的兩種主要表現(xiàn)形式,暫態(tài)功角失穩(wěn)和暫態(tài)電壓失穩(wěn)的主導性識別,是進行暫態(tài)穩(wěn)定控制的前提。本文研究表明,暫態(tài)過程中輸電斷面聯(lián)絡線有功功率的變化量包含兩部分分量,一部分與聯(lián)絡線母線電壓相角相關,另一部分與聯(lián)絡線母線電壓幅值相關。這兩部分分量與失穩(wěn)模式之間存在如下關系:當電壓失穩(wěn)為主導失穩(wěn)模式時,輸電斷面功率改變量主要由與母線電壓幅值相關的分量引起,當功角失穩(wěn)為主導失穩(wěn)模式時,輸電斷面功率改變量主要由與母線電壓相角差相關的分量引起;谶@種關系,本文提出了一種功率全微分的主導失穩(wěn)模式識別判據(jù),為后續(xù)緊急控制提供決策依據(jù)。 進行暫態(tài)穩(wěn)定緊急控制時,首先需要確定合理的切機量;跁簯B(tài)能量函數(shù)的切機控制措施量化方法,要求能量函數(shù)能精確地反映出導致系統(tǒng)失穩(wěn)的暫態(tài)能量。修正的暫態(tài)能量函數(shù)與同步坐標下和慣量中心坐標下的暫態(tài)能量函數(shù)相比,最能反映導致系統(tǒng)失穩(wěn)時的暫態(tài)能量;谛拚臅簯B(tài)能量函數(shù),本文定義了系統(tǒng)的加速能量函數(shù);谂R界切機量時系統(tǒng)加速能量所滿足的特性方程,提出了一種基于系統(tǒng)加速能量的臨界切機量求取方法。與基于等面積法則的傳統(tǒng)方法不同,該方法不需要計算系統(tǒng)的不穩(wěn)定平衡點,積分路徑擬合及積分計算過程簡單。
[Abstract]:Based on the real-time wide area measurement information, the theory of transient stability analysis of the power system, the establishment of the mathematical model, the information extraction of dynamic characteristic, the prediction of disturbed trace, the real-time transient stability criterion, the dominant instability pattern recognition and the quantification of the control measures of the cutting machine are carried out. The transient stability response control strategy of power system based on wide area measurement information is studied. The wide area measurement system can obtain the real-time dynamic response data of the whole network, because the measurement data is massive, part of the dynamic characteristic information is extracted from the mass measurement data, so that the processing of the mass data is avoided, the speed of the transient stability analysis is improved, The dynamic characteristic information must be able to fully reflect the transient stability process after the system is disturbed. Considering the complexity of the transient stability problem of the multi-machine system, it may be difficult to accurately identify the stability of the system by relying on some characteristic information. Therefore, based on the transient stability study of wide area measurement information, it is necessary to comprehensively utilize a variety of dynamic characteristic letters The variation trend of the disturbed trajectory of the power system is very complex and has a strong non-linear characteristic. It is required that the prediction model of the disturbed trajectory of the transient stability must be able to track the change trend of the curve in real time and adjust the model parameters in time to improve the pre- In this paper, based on the characteristics of the parameters of the prediction model, a model parameter adaptive adjustment technique is proposed. The main purpose of this paper is to track the non-linear change of the disturbed track, and to use the latest measurement to adjust the model parameters in a timely manner so as to achieve the overall optimal pre-estimation. The model parameter self-adaptation technology is mainly divided into two parts of internal and external circulation calculation, the internal circulation calculation obtains the prediction result according to the prediction model, the external circulation calculation is based on the latest measurement value, the model parameters are corrected in time according to the model parameter self-adaptive adjustment principle, the adaptability of the model is improved, The real-time transient stability criterion is the key to realize the transient stability real-time decision. In this paper, based on the characteristic information of the tie line, a fast criterion based on power-phase angle-frequency is proposed, and only the limited and key network characteristic information is used for the design. The method comprises the following steps of: firstly, judging whether the system enters an unstable region or not, and then judging whether the system has a tendency to be unstable, and finally judging whether the system can cross the unstable region or not, The stability equilibrium point is obtained based on the actual system. The results show that this criterion can be used to determine the temporary stability. The transient power angle instability and the transient voltage instability are two main expressions of the system in the transient process, the transient power angle instability and the dominant identification of the transient voltage instability, and the transient power angle instability and the transient voltage instability are the transient state power angle instability and the transient voltage instability. The premise of stable control is that the change of the active power of the tie-line of the transmission section in the transient process includes two parts, one part of which is related to the phase angle of the bus voltage of the connecting line, and the other part is connected with the tie-line bus The voltage amplitude of the power transmission section is related to the amplitude of the line voltage. When the voltage instability is the dominant instability mode, the power change amount of the power transmission section is mainly caused by the component related to the voltage amplitude of the bus voltage, and when the power angle is unstable, the power change amount is mainly caused by the component related to the voltage amplitude of the bus voltage. The power change of the power transmission section is mainly caused by the phase angle difference with the bus voltage when the main failure mode is dominant. Based on this relationship, this paper presents a criterion of dominant instability pattern recognition for power full differential, which is a follow-up emergency control. The system provides decision-making basis. In case of transient stability emergency control, first, In order to determine the reasonable amount of the cutting machine, the quantitative method of the control measures of the cutting machine based on the transient energy function requires that the energy function can be accurately reflected The transient energy of the system's instability. The modified transient energy function is best reflected by the transient energy function under the coordinates of the synchronous coordinate and the inertia center. The transient energy of the system. Based on the modified transient energy function, this paper defines the transient energy. The acceleration energy function of the system. Based on the characteristic equation of the system's acceleration energy when the critical cutting machine is used, a system-based acceleration energy is proposed. The method for calculating the quantity of the critical cutting machine is different from the traditional method based on the equal area rule. The method does not need to calculate the unstable equilibrium point of the system and the integral path fitting.
【學位授予單位】:中國電力科學研究院
【學位級別】:博士
【學位授予年份】:2014
【分類號】:TM712

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