基于廣域信息的同調(diào)機群識別及電網(wǎng)失步解列新方案
[Abstract]:The problem of dynamic security and stability is becoming more and more serious due to the expansion of the scale of large area interconnected power network. The loss of step and tripping caused by the failure of the system will cause incalculable losses to the whole power network. In order to improve and improve the safety and stability of power system, it is urgent to perfect the construction of "three lines of defense". De-listing is an important measure to ensure the safe operation of the system. As the last line of defense to ensure the safe and stable operation of the power grid, it can effectively prevent the further expansion of the accident. As an important premise of decoupling control, homology cluster can simplify the dynamic behavior and make the system restore synchronization quickly. In recent years, the continuous innovation of communication technology and the practical application of phasor measurement unit (Phasor Measurement Unit,PMU) have injected new vitality and vitality into the research of more mature subjects such as homology, grouping and uniting. A large number of practical breakthroughs and bold innovations have emerged under the complex background of large area power grid interconnection. Based on the wide-area measurement system (Wide Area Information System,WAMS), this paper focuses on the following two aspects: (1) A fast and effective homology clustering method is proposed to realize the on-line generator clustering at the same time. It overcomes the shortcomings of large computation and long time of realization. (2) A new de-listing scheme is proposed, which is not affected by the change of system operation mode and structure. The discrete Fr 茅 chet distance is applied to the on-line clustering of the engine group. The source data is the generator power angle measured in WAMS. After the sampling work angle trigonometric function is used to fit the area difference pregroup, the final result of on-line clustering is obtained by using the discrete Fr 茅 chet distance. Compared with existing clustering methods, this method is not affected by model parameters, and is suitable for different fault scenarios, especially for complex large scale systems, and it can dynamically cluster the system in real time. The influence of the amplitude difference of the two sides potential and the operation mode of the system on the oscillation center and the out-of-step center are analyzed when the system is out of step. A position function of the oscillation center which can reflect the shift of the oscillation center with the angle of work is constructed. On the basis of the function, a new scheme is proposed to solve the problem. This scheme uses the rate of variation of the oscillatory center position function to assist ucos? Start the disassembly device, overcome the potential amplitude in the actual system is not equal based on ucos? The defect of the criterion. Combining the drift characteristics of the oscillation center, the location of the out-of-step center and the unbalance degree of the island behind the train are used to search the discontinuous section. The scheme can capture the changing track of the oscillation center and the position of the out-of-step center. The reliability of the column device is improved while selection and rapidity are guaranteed.
【學位授予單位】:天津大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:TM712
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