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

Improved particle swarm-based SVC power oscillation damping controller parameter optimization method

A technology for improving particle swarms and damping controllers, applied in the field of power systems, can solve problems such as unsatisfactory effects, and achieve the effect of good oscillation regulation performance

Inactive Publication Date: 2019-08-23
HUANENG LANCANG RIVER HYDROPOWER +3
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, PSS is mainly used to suppress low-frequency oscillations in power systems, but it is currently recognized that the effect of using PSS when the oscillation frequency is lower than 0.3Hz is not ideal

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
  • Improved particle swarm-based SVC power oscillation damping controller parameter optimization method
  • Improved particle swarm-based SVC power oscillation damping controller parameter optimization method
  • Improved particle swarm-based SVC power oscillation damping controller parameter optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Embodiment 1: as Figure 1-7 As shown, a method for optimizing the parameters of the SVC power oscillation damping controller for low-frequency oscillations based on improved particle swarms, the steps of the method are as follows:

[0028] Such as figure 1 As shown, the SVC power oscillation damping control link adopted by the present invention is mainly composed of box 1 and box 2, and M and D in box 1 are the moment of inertia and damping coefficient of the generator model. In the case of a line transient fault in a stand-alone system, it will cause the mechanical power P on the generator side m and electromagnetic power P e The momentary unbalance of the two, the power difference ΔP between the two is used as the input of the control link, and the bus voltage of the SVC access point can be supported by changing the reactance value on the thyristor control branch; Box 2 includes the lead-lag link and the blocking link, where K D Gain of additional damping control...

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 an improved particle swarm-based SVC power oscillation damping controller parameter optimization method, which comprises steps: S1, based on the traditional phillips-heffron model of a power system, an SVC power oscillation damping control link is added, and a single machine infinite bus system mathematical model containing SVC addition damping control is built; S2, the difference between the electromagnetic power at a generator end and the mechanical power of the unit is used as an input disturbance signal of the built single machine infinite bus system mathematical model; S3, an improved particle swarm optimization algorithm is used to screen a proper SVC power oscillation damping control link parameter according to the single machine infinite bus system mathematical model in the first step based on an ITAE performance evaluation index; and S4, the optimal parameters acquired by adopting the improved particle swarm optimization algorithm are returned to the single machine infinite bus system mathematical model containing SVC addition damping control, and phase compensation is carried out on control signals. In comparison with the traditional power system stabilizer controller, better oscillation regulation performance can be achieved.

Description

technical field [0001] The invention relates to a parameter optimization method of an SVC power oscillation damping controller based on an improved particle swarm, belonging to the field of power systems. Background technique [0002] In order to ensure the safe and stable operation of the power system, the oscillation of the power system must be suppressed, including intra-area oscillation and inter-area oscillation. These oscillations usually produce large frequency deviations, so the damping effect of the system is very critical for the suppression of system oscillations. Because the system operates in a variety of ways, it is imperative to have a controller that is more robust to accommodate as many modes of operation as possible. [0003] At present, PSS is mainly used to suppress the low-frequency oscillation in the power system, but it is currently recognized that the effect of using PSS when the oscillation frequency is lower than 0.3Hz is not ideal. Contents of t...

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): G05B13/04
CPCG05B13/042
Inventor 李雪峰贾超宇赵士正蔡卫江荣红胡虹齐郑
Owner HUANENG LANCANG RIVER HYDROPOWER
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