Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Model-free adaptive load frequency control method for multi-region power system

A load frequency control, model-free self-adaptive technology, applied in the power network operating system integration, information technology support system, electrical components and other directions, can solve the complex training process, a large number of neural network sample data, difficult to effectively meet the actual use and other problems , to achieve the effect of high calculation accuracy, good independence and good control performance

Pending Publication Date: 2021-11-23
HENAN POLYTECHNIC UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the design requires the establishment of a multi-layer neural network, and the establishment of a neural network requires a large amount of sample data and a complicated training process, which is difficult to effectively meet the needs of actual use

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
  • Model-free adaptive load frequency control method for multi-region power system
  • Model-free adaptive load frequency control method for multi-region power system
  • Model-free adaptive load frequency control method for multi-region power system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0063] Such as figure 1 As shown, a model-free adaptive load frequency control method for multi-regional power systems includes the following steps:

[0064] S1, establish the mathematical model of the circuit system, construct the interconnected power system according to the mathematical model of the traditional multi-regional power system, and establish the mathematical model of the three-regional power system;

[0065] S2, discretization analysis, according to the actual operating state of the power system, discretize the continuous-time state-space model, and set a sampling period, and establish a discretization model of the system according to the Euler approximation method;

[0066] S3, secondary data analysis, according to the discretizati...

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 model-free adaptive load frequency control method for a multi-region power system. The method comprises the steps of establishing a circuit system mathematical model, performing discretization analysis, performing secondary data analysis and performing load control. Compared with a conventional power system control method, the model-free self-adaptive control method for the LFC of the multi-region interconnected power system is provided for the first time, the method does not need any model information of the power system, does not need to measure any state signal of the system, has good control performance and certain robustness, and is good in independence; the method has the advantages of good external factor interference resistance and fault resistance, simple data driving control algorithm structure, small calculation amount and high calculation precision in the control process, thereby greatly improving the precision, reliability, automation and intellectualization of load power control operation of the power system.

Description

technical field [0001] The invention belongs to a robot control method and technology, in particular to a model-free adaptive load frequency control method of a multi-area power system. Background technique [0002] Frequency load control has been effectively used in power systems for many years. Its basic objective is to restore the balance between load and generation in each control area. Load frequency control (LFC) has been widely used in power systems for many years. The goal of LFC is to keep the system frequency and power exchange between regions at predetermined values. In the past decades, many different strategies have been proposed to solve the LFC problem, such as PI control, state feedback control, optimal control, adaptive control, sliding mode control, and fuzzy control. However, these model-based methods require accurate power system model information. At the same time, the feasible solution of the control gain requires matrix inequality calculation, whic...

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
IPC IPC(8): H02J3/00H02J3/24H02J3/14
CPCH02J3/00H02J3/24H02J3/144H02J2203/20Y02B70/3225Y04S20/222
Inventor 卜旭辉余威陈宗遥崔立志
Owner HENAN POLYTECHNIC UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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