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

Multi-machine system speed governor PID parameter optimization method and device, equipment and medium

A multi-machine system and optimization method technology, applied in the field of power systems, can solve the problems of slow particle swarm convergence and low optimization efficiency, achieve good low-frequency oscillation, solve low-frequency oscillation, and high efficiency

Active Publication Date: 2018-12-18
CHINA SOUTHERN POWER GRID COMPANY +1
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the current technology of PID parameter adjustment using the particle swarm optimization algorithm, the convergence speed of the particle swarm is slow, and the optimization efficiency is generally not high.

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
  • Multi-machine system speed governor PID parameter optimization method and device, equipment and medium
  • Multi-machine system speed governor PID parameter optimization method and device, equipment and medium
  • Multi-machine system speed governor PID parameter optimization method and device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] See figure 1 , figure 1 It is a schematic diagram of the PID parameter optimization device for the multi-machine system governor provided in Embodiment 1 of the present invention, which is used to execute the PID parameter optimization method for the multi-machine system governor provided in the embodiment of the present invention, such as figure 1 As shown, the multi-machine system governor PID parameter optimization device includes: at least one processor 11, such as CPU, at least one network interface 14 or other user interface 13, memory 15, at least one communication bus 12, the communication bus 12 is used for Implement connection communication between these components. Wherein, the user interface 13 may optionally include a USB interface, other standard interfaces, and a wired interface. The network interface 14 may optionally include a Wi-Fi interface and other wireless interfaces. The memory 15 may include a high-speed RAM memory, and may also include a non-...

Embodiment 2

[0068] see figure 2 , a schematic flowchart of a PID parameter optimization method for a multi-machine system governor provided in the second embodiment of the present invention;

[0069] S11. Obtain an initial optimal value range, so as to obtain each particle and a particle group according to the initial optimal value range; wherein, the initial optimal value range is the initial value range of the position vector of each particle;

[0070] It should be noted that the particle swarm optimization algorithm is an optimization algorithm proposed by Kennedy and Eberhart in 1995, inspired by the behavior of birds in search of food. It is another swarm intelligence algorithm after the ant colony algorithm, and finally developed become an effective optimization tool. In the particle swarm optimization algorithm, the potential solution of each optimization problem can be imagined as a point on the d-dimensional search space. These points are called particles, and a total of m part...

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 multi-machine system speed governor PID parameter optimization method, comprising the steps of obtaining an initial optimization value range to obtain various particles and aparticle swarm according to the initial optimization value range; for each particle, the position variable of the particle is substituted for the PID parameter of the corresponding unit governor. Thefitness function is obtained according to the weighted sum of the system oscillation damping and the frequency modulation response speed of the generator set under the fault. According to the fitnessfunction, the fitness function value of each particle is obtained, and the fitness function value of the particle is compared with the optimal fitness function value of the particle swarm at the current time. When the fitness function value of the particle is better than the optimal fitness function value of the particle swarm, updating the optimal fitness function value of the particle swarm andthe optimal position of the particle swarm according to the position of the particle; And updating the state of the particles; When the optimal fitness function value of particle swarm satisfies thepreset precision, the optimal PID parameters are obtained. The convergence speed of a particle swarm and the optimization efficiency of the algorithm are improved.

Description

technical field [0001] The invention relates to the technical field of electric power system and automatic control technology, in particular to a PID parameter optimization method, device, equipment and medium of a governor of a multi-machine system. Background technique [0002] In the test of China Southern Power Grid's asynchronous networking system in Yunnan, a long-term, large-amplitude, ultra-low-frequency oscillation with an oscillation period of about 20s occurred for the first time in the power grid. How to ensure the stable operation of this type of power grid needs to be further explored. After asynchronous networking, the load scale of Yunnan power grid is greatly reduced compared with the original synchronous power grid of the Southern Power Grid. Therefore, the frequency response characteristics of Yunnan Power Grid after asynchronization have changed greatly compared with the frequency response characteristics of Southern Power Grid before asynchrony. Effectiv...

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): H02J3/38H02J3/24G06N3/00
CPCG06N3/006H02J3/24H02J3/38
Inventor 周剑甄鸿越徐光虎张建新梅勇刘蔚周挺辉
Owner CHINA SOUTHERN POWER GRID COMPANY
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