Control method and system for direct-drive permanent magnet hydroelectric generation system on basis of fuzzy control, terminal and readable storage medium

Abstract

The invention discloses a control method and system for a direct-drive permanent magnet hydroelectric generation system on the basis of fuzzy control, a terminal and a readable storage medium. The control method aims at solving the problems that in the conventional maximum power tracking control process of a water turbine, the tracking speed is low, the steady-state precision is low, and the efficiency of the water turbine is reduced due to the fact that a large amount of energy is easily lost in the tracking process. A water turbine comprehensive characteristic curve is used for extracting power P, rotating speed n and flow Q data, BP (back propagation) neural network training is carried out on the power P, rotating speed n and flow Q data, and a neural network off-line model is obtained. According to the method, the neural network off-line model is used for evaluating the initial rotating speed, then the fuzzy control MPPT (maximum power point tracking) is used for tracking the maximum power, the combination of a neural network and a fuzzy controller is realized, in addition, the influence of the flow Q change is also considered, a new maximum power point is rapidly tracked, the power loss and the energy waste are reduced, and the efficiency of the water turbine is improved.

Description

technical field [0001] The invention belongs to the technical field of hydroelectric power generation, and in particular relates to a control method, system, terminal and readable storage medium of a direct-drive permanent magnet hydroelectric power generation system based on fuzzy control. Background technique [0002] Hydropower is recognized as a non-polluting and renewable energy source in the world. Compared with other traditional fossil energy sources, hydropower does not undergo chemical changes in the process of converting into electrical energy, does not emit harmful substances, and does not pollute the air and water. high-quality renewable energy. Among them, the constant speed and constant frequency system is limited by the frequency of the power grid, which greatly limits the output of the turbine, so the variable speed and constant frequency hydropower technology has been developed. Among them, the direct-drive permanent magnet hydroelectric power generation sy...

AI Technical Summary

Problems solved by technology

[0005] At present, the commonly used control methods are: 1. According to the storage database of the hydropower station head, flow rate, guide vane opening, etc., look up the table to get the optimal speed under the current flow rate, which has accuracy and cumbersome problems; 2. Use the data fitting method to establish The turbine efficiency model solves the optimal speed, but its disadvantage is that the model solution is too complicated, and there are errors in the efficiency model over time

3. Use the observation disturbance method to apply a certain disturbance to the permanent magnet synchronous generator, observe the power feedback, and then further adjust the speed until the optimal speed is searched. The disadvantage is that it is easy to set the step size too large, which may lead to long steady-state time , the small step size leads to a long search time, and once the traffic changes caused by weather or seasons, it is difficult to quickly find a new working point, and the dynamic performance is poor

[0006] It can be seen that in the existing control method, there is a technical defect that it is difficult to accurately track the optimal speed, so that the output power of the turbine is the largest. When it is close to the maximum power point, it is prone to insufficient precision or continuous oscillation near the highest point.

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