Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Pumped storage unit adjusting system identification method based on deep learning

A technology for regulating systems and deep learning, applied in neural learning methods, biological models, instruments, etc., can solve the problems that modeling performance and generalization extrapolation ability need to be improved, and the identification results are unsatisfactory. The effect of improving the accuracy of modeling, ensuring control quality, and improving modeling accuracy

Active Publication Date: 2022-04-12
HUAIYIN INSTITUTE OF TECHNOLOGY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The classic identification methods (fuzzy model and traditional neural network model) still have the problems of over-learning and over-fitting, the identification results are unsatisfactory, and the modeling performance and generalization extrapolation ability need to be improved

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Pumped storage unit adjusting system identification method based on deep learning
  • Pumped storage unit adjusting system identification method based on deep learning
  • Pumped storage unit adjusting system identification method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0060] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0061] The present invention proposes a deep learning-based identification method for the regulation system of a pumped-storage unit, such as figure 1 shown, including the following steps:

[0062] Step 1: Model the mechanism of the pumped-storage unit regulation system, use the mechanism model to generate simulation data, normalize the original data to the [0,1] interval and divide it into a training set and a test set, and determine the input variables of the deep learning model .

[0063] By randomly generating the frequency disturbance signal of the pumped-storage regulation system and randomly setting the PID controller parameters of the regulation system, the nonlinearity of the regulation system of the pumped-storage unit is fully stimulated, and the diversity of operating data used for modeling is improved. The model simulation time is set to 50s, a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a pumped storage unit adjusting system identification method based on deep learning, and the method comprises the following steps: (1) carrying out mechanism modeling on a pumped storage unit adjusting system, generating simulation data through a mechanism model, dividing the simulation data into a training set and a test set, and determining an input variable of a deep learning model; (2) a deep learning GRU model is constructed, and deep features of operation data of the pumping and storage unit adjusting system are mined; (3) improving a Harris eagle optimization algorithm, and introducing a nonlinear energy index decline strategy into escape energy; (4) dynamic adjustment of hyperparameters of the GRU model is achieved through the improved Harris eagle optimization algorithm; and (5) obtaining a predicted value by using the trained GRU model and the test set data. According to the method, the structure and parameters of the optimal model are obtained by improving the global optimization capacity of the Harris eagle optimization algorithm, so that the generalization of the GRU model is improved, accurate identification of the pumped storage adjusting system is realized, the modeling precision of the unit is effectively improved, and the control quality of the unit is further guaranteed.

Description

technical field [0001] The invention belongs to the technical field of identification and modeling of pumped-storage units, and more particularly, relates to a deep-learning-based identification method for adjustment systems of pumped-storage units. Background technique [0002] The governor of the pumped storage unit is an important part of the control system of the hydropower station, and the accuracy of its mathematical model has an important influence on the automatic control of the hydropower station and the power quality of the power grid. As an important means of modeling the control system of the pumped-storage unit, the identification of the regulation system of the pumped-storage unit is of great significance to the dynamic analysis of the pumped-storage unit and the entire power grid. Classical identification methods (fuzzy model and traditional neural network model) still have problems of over-learning and over-fitting, the identification results are not satisfac...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/00G06N3/04G06N3/08
Inventor 张楚孙伟李沂蔓花磊嵇春雷马慧心彭甜
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com