Analysis of Complexity Characteristics for AGC Orders Based on the Control Performance of Power Plant
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摘要: 对机组AGC指令的复杂特性进行分析可以完善现有的AGC考核方法。从发电机组控制性能角度出发,研究了AGC指令信号的复杂特性。通过建立发电机组协调控制系统数学模型,分析了不同AGC指令下电厂的控制性能,推导了一种离散型与连续型AGC信号的复杂度定量分析方法。针对机组运行时负荷点多变的情况,提出了平均稳态负荷点的思想。最终结果表明,对于同一发电机组,AGC指令的复杂特性只与自身特性有关。选取某1000MW机组的AGC指令数据,分别从日、月两个尺度进行仿真分析,表明该方法能有效完成AGC指令复杂特性分析,为机组发电任务等级的划分提供了依据。Abstract: The existing assessment method for AGC can be improved through analyzing the complexity of AGC signals of Units. In this paper, by taking the control performance of generation unit into consideration, the complexity characteristics of AGC signals is studied. By using the mathematical model of the CCS for generation unit, the control performance of power plant under different AGC orders is analyzed, and a quantitative analysis method for complexity is put forward, which is suitable for discrete and continuous AGC orders. The concept of average steady-state load point is put forward to adapt to the situation of the variety of load points when units operate. Results show that the complexity characteristics of AGC orders depend on its characteristics. Based on the AGC order data for a 1 000MW unit, the simulation and analysis are carried out from such aspects as day and month scales. The results show that the method can effectively realize AGC signals analysis on complexity characteristics, which provides classification base for generation mission degree of units.
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Keywords:
- AGC /
- complexity characteristics /
- power quality /
- coordinate control
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