Optimization method for type-2 fuzzy control parameters of water turbine regulating system

Abstract

The invention discloses a method for optimizing control parameters of a water turbine regulating system based on type-2 fuzzy PID (proportion integration differentiation) control, which is used for carrying out optimization control on a hydroelectric generating set and specifically comprises the following steps of: firstly, establishing a multi-working-condition nonlinear simulation platform of the water turbine regulating system, preliminarily determining a regulating range of the control parameters, and then, establishing a multi-working-condition nonlinear simulation platform of the water turbine regulating system; a type 1 fuzzy controller is established, input and output discourse domains are set according to a control parameter adjustment range, a membership function is set, and a type 1 is converted into a type 2. Setting parameters such as population scale, evolution algebra and the like of the improved PSO algorithm, and performing population initialization; and finally, obtaining an optimal PID control parameter according to the target function and after a certain evolution algebra. The optimized PID controller can better guarantee the control performance of the water turbine speed regulation system, and then the actual production requirements of a power station are better met.

Description

technical field [0001] The invention relates to the technical field of a hydraulic turbine regulating system, in particular to a method for optimizing a type II fuzzy control parameter of a hydraulic turbine regulating system. Background technique [0002] With the development of large-capacity, high-head hydro-turbine units and long-distance UHV power transmission technology, in order to improve the power supply quality of the power grid, relevant scholars have put forward higher requirements for the regulation quality of hydro-electric units. The current hydraulic turbine regulation control system widely adopts PID control law. After the unit is connected to the grid, a set of PID control parameters are used to adjust the frequency and power of the unit. With the change of electricity load, the operating point of the turbine in actual operation will often change. Due to the constant changes of the model parameters, it is difficult to ensure the stable operation of the hyd...

AI Technical Summary

Problems solved by technology

However, most of the improved algorithms exchange high computational cost for high computational accuracy, which inevitably introduces new parameters, increases the complexity of the algorithm itself, and greatly limits engineering applications.

Among them, the patent CN112012875A proposes an optimization method for the PID control parameters of the hydraulic turbine regulation system, but this method adopts the fuzzy control inertia weight and firefly-particle swarm hybrid evolution method, which makes the calculation cost of the algorithm relatively high; the learning factor changes asynchronously, and the particle "Self-learning" and "group learning" are carried out separately and run in with each other, and in some cases, there is a defect that the convergence speed is slow

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