Multi-objective optimization direct power control method for VSC under resonance power grid based on particle swarm optimization

A multi-objective optimization, particle swarm algorithm technology, applied in the output power conversion device, the conversion of AC power input to DC power output, electrical components and other directions, can solve the deterioration of control target performance, unfavorable power grid reliable and stable operation, unfavorable power grid stability Reliable operation, etc.

Active Publication Date: 2014-04-30
ZHEJIANG UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, according to the mathematical model of VSC, the two control objectives in the traditional control strategy are in conflict with each other, and it is impossible to improve the three-phase grid current, output active power and reactive power of VSC at the same time.
That is to say, while achieving a certain control target, it will lead to the deterioration of the performance of another control target. For example, when the three-phase grid current remains sinusoidal, the output active power and reactive power will fluctuate violently at 300 Hz, which is not conducive to the power grid. Reliable and stable

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-objective optimization direct power control method for VSC under resonance power grid based on particle swarm optimization
  • Multi-objective optimization direct power control method for VSC under resonance power grid based on particle swarm optimization
  • Multi-objective optimization direct power control method for VSC under resonance power grid based on particle swarm optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0053] In order to describe the present invention in more detail, the control method of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] Such as figure 1 As shown, a particle swarm algorithm-based multi-objective optimization direct power control method of VSC in a harmonic power grid includes the following steps:

[0055] (1) Use single-phase voltage Hall sensor 1 to collect the DC bus voltage V of VSC dc , Using the three-phase voltage Hall sensor 2 to collect the three-phase voltage V on the AC side of the VSC a ~V c And three-phase grid voltage U a ~U c , Using the three-phase current Hall sensor 3 to collect the three-phase current I on the AC side of the VSC a ~I c ;

[0056] Then use the enhanced phase-locked loop 4 to extract the three-phase grid voltage U a ~U c The angular frequency ω and phase θ.

[0057] (2) According to the phase θ, use the dq coordinate transformation module 5 to pair t...

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-objective optimization direct power control method for VSC under a resonance power grid based on particle swarm optimization. Consideration is given to output three-phase stator currents, output active power and output reactive power of the VSC, so that multi-objective optimization control over control performance of the output three-phase stator currents, the output active power and the output reactive power is achieved at the same time, according to the adopted particle swarm optimization, codes are simplified, calculation time is short, which helps real-time calculation to be achieved, operation control performance of the VSC can be effectively improved under resonance power grid voltage conditions, and electric energy quality and stability and safety of a power system are ensured. Meanwhile, a vector proportional integral adjustment or proportional integral resonance adjustment technology is adopted, and angular frequency can restrain adverse effects caused by five or seven harmonic components in power grid voltage for vector proportional integral adjustment or resonance adjustment of six-fold fundamental frequency.

Description

Technical field [0001] The invention belongs to the technical field of power equipment control, and specifically relates to a VSC multi-objective optimization direct power control method under a harmonic power grid based on a particle swarm algorithm. Background technique [0002] Nowadays, as a simple and reliable power electronic device, VSC (voltage source converter) is widely used in actual power grids. Among them, the most common devices are grid-side converters used in wind power generation systems and photovoltaic power generation systems. Grid-side converter, active power filter and power factor correction device to ensure safe and reliable operation of the grid, etc. However, the VSC operating under harmonic grid voltage conditions will exhibit harmonic distortion of the three-phase output current, output active and reactive power oscillations and other operational performance degradation. The deterioration of the above-mentioned performance indicators will cause the ha...

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): H02M7/537
CPCY02B70/10
Inventor 宋亦鹏
Owner ZHEJIANG 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
Try Eureka
PatSnap group products