为了给发电质量提出一个量化的标准,从发电任务的难易程度出发,忽略电压质量,尝试采用非线性动力学理论对电网调度指令自动发电控制AGC(automatic generation control)信号进行分析。首先通过Mallat小波变换将AGC指令信号在不同尺度上进行分解和重构,然后运用Lempel-Ziv复杂度算法分别对不同的分解尺度进行复杂性计算,克服了传统Lempel-Ziv复杂度算法"过分粗粒化"的缺点,得到AGC指令信号的综合复杂程度。选取某1 000 MW机组不同时间段的AGC指令信号进行分析比较,通过指令和响应之间的相关性验证该方法有效可行。
In order to propose a quantitative standard, this article consideres the difficulty level of power generation tasks, while ignoring the voltage quality, and uses the nonlinear dynamics theory to discuss the AGC signals dispatched from the grid. Firstly the AGC signal components of different frequency ranges are obtained via Mallat wavelet decomposition and reconstruction. Then the comprehensive complexity of the AGC signals is gotten by the Lempel-Ziv com- plexity in muhi-scales. This method overcomes the "over-coarsening" insufficiency that traditional method may produce. A 1 000 MW unit is used to simulate in this paper and the results show the effectivity of this method.