Automatic setting method for control parameters of water turbine speed regulating system

Abstract

The invention relates to an automatic setting method for control parameters of a water turbine speed regulating system. According to the method, firstly, T-S fuzzy model identification is conducted on a control object of the water turbine speed regulating system of a real unit to obtain a high-precision simulation system of the water turbine speed regulating system; secondly, according to the simulation system, a target function with the PID control parameters as optimization variables is set up, and the target function is worked out through a gravitational search algorithm to obtain the optimal PID control parameters. Due to the fact that the precision of the set simulation system is high, the characteristics of the real unit can be really reflected, the control parameter optimization result obtained through the simulation system can be directly applied to the real unit, and the dynamic quality of the unit speed regulating system is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of hydroelectric power generation, relates to the technical field of optimal control of hydroelectric units, and in particular relates to an automatic tuning method for control parameters of a speed regulating system of a hydraulic turbine. Background technique [0002] The hydraulic turbine speed control system is the core control system of the hydroelectric unit, which undertakes the important task of stabilizing the frequency of the unit and adjusting the power of the unit. In engineering applications, the control law adopted by this system is generally proportional-integration-differentiation (PID) control. . PID control parameters have a decisive impact on the adjustment quality and dynamic response index of the unit, how to adjust the PID parameters has become a difficult problem in engineering applications. In actual operation, PID control parameters generally rely on expert tuning, lacking parameter...

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Problems solved by technology

However, in these studies, the optimization of PID control parameters relies on the accurate modeling and simulation of the controlled object model, including the modeling of the governor servomotor, water diversion system, water turbine and generator, due to the large number of nonlinearities in the controlled object factors, and the accurate analytical nonlinear model of the turbine has not been available, which makes it very difficult to accurately model and simulate the control object through traditional means, resulting in the control parameter optimization technology obtained on the basis of the simulation system. insufficient

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