Damping adaptive control system based on Youla parameterization and control method
An adaptive control and parameterization technology, applied in the direction of reducing/preventing power oscillation, can solve the problems of lack of effectiveness and robustness
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Embodiment 1
[0043] A damping self-adaptive control system based on Youla parameterization proposed by the present invention includes sequentially connected data input subsystems, self-adaptive control decision-making subsystems and result output subsystems.
[0044] The self-adaptive control decision-making subsystem includes system Youla parameterization module and controller Youla parameterization module connected with each other; system Youla parameterization module is connected with data reading subsystem, and controller Youla parameterization module is connected with result output subsystem.
[0045] The data reading subsystem is used to read in the wide-area signal data and send it to the Youla parameterization module of the system. The wide-area signal data is the bus frequency of each generator relative to the reference generator.
[0046] The system Youla parameterization module is used to establish the system Youla parameterization model, and determine the operating conditions of t...
Embodiment 2
[0094] use figure 2 The shown IEEE16 machine system further verifies the validity and feasibility of this method. The generator adopts a 6-order detailed model, the excitation adopts IEEE-DC1 type excitation, all load nodes are mixed load models, the active power is 15% constant current and 15% constant power, and the remaining load is 75% constant impedance load. In order to stabilize the regional low-frequency oscillation mode, the adaptive control strategy is investigated, and three energy storage systems (ESD) are added, which are installed on the buses 37, 44 and 52 respectively. According to the contribution factor, the optimal input signal is the bus frequency of bus 5, 13, 14 and 15.
[0095] Four interval oscillation modes are obtained through the characteristic analysis method, as shown in Table 1. The oscillation mode with the lowest frequency appears as the oscillation between the generators in regions 3, 4, 5 and the generators in regions 1 and 2. The second o...
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