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

Multi-objective optimization method for hybrid active power filter

A power filter, multi-objective optimization technology, applied in active power filtering, harmonic reduction devices, AC networks to reduce harmonics/ripples, etc., can solve the problem of not considering the coupling relationship between passive circuits and active circuits, Does not consider the power consumption of the HAPF system itself, ignores the interaction between the electrical components of the main circuit and the control parameters, etc.

Inactive Publication Date: 2013-02-06
CENT SOUTH UNIV
View PDF4 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the above-mentioned optimal design scheme for the HAPF main circuit has the following shortcomings: 1) The coupling relationship between the passive circuit and the active circuit is not considered, 2) The interaction between the electrical components of the main circuit and the control parameters is ignored; 3) The power consumption of the HAPF system is not considered

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 method for hybrid active power filter
  • Multi-objective optimization method for hybrid active power filter
  • Multi-objective optimization method for hybrid active power filter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples, so as to fully understand and implement the process of how to apply technical means to solve technical problems and achieve technical effects in the present invention. It should be noted that, as long as there is no conflict, each embodiment and each feature in each embodiment of the present invention can be combined with each other, and the formed technical solutions are all within the protection scope of the present invention.

[0078] In addition, the steps shown in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and, although a logical order is shown in the flow diagrams, in some cases, the sequence may be different. The steps shown or described are performed in the order herein.

[0079] figure 1 is a schematic flow chart of a multi-objective optimization...

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 method for a hybrid active power filter. The method comprises the following steps: analyzing the relationship between all elements of an active leg and a passive leg of the hybrid active power filter and a system impedance, and the coupling relationship between all the elements of the active leg and the passive leg so as to obtain a first class constraint condition; acquiring a performance, cost and loss model of the filter; setting a second class constraint condition according to the specification of the filter; establishing an objective function base on the performance, cost and loss model and combining the first class constraint condition and the second class constraint condition to serve as a constraint condition of the objective function; processing the objective function and the constraint condition thereof to construct a new objective function; and obtaining an optimal solution based on a chaotic algorithm and a multi-objective PSO (Particle Swarm Optimization) algorithm based on Pareto optimal solution. Compared with an optimization algorithm with two objects, the optimization algorithm with three objects formed by establishing a three-dimensional optimization objective function based on the performance, the cost and the loss can enable the optimal solution to obtain a better tradeoff among the three aspects of the performance, the cost and the efficiency.

Description

technical field [0001] The invention relates to the field of power electronics, in particular to a multi-objective optimization method for a hybrid active power filter. Background technique [0002] The wide application of modern power electronic devices has brought serious power quality problems such as reactive power shortage, harmonic pollution and voltage flicker to the power grid. Passive Power Filter (PPF for short) and Active Power Filter (APF for short) can realize harmonic suppression and reactive power compensation, and solve the power quality problem of the power grid. Among them, PPF uses the resonance characteristics of inductors and capacitors to form a harmonic low-impedance branch, which has the advantages of low cost and mature technology, but has the disadvantages that the filtering characteristics depend on the grid parameters, and it is easy to be out of tune and resonant; APF is a kind of The dynamic harmonic suppression and reactive power compensation ...

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): H02J3/01
CPCY02E40/40Y02E40/22Y02E40/20
Inventor 于晶荣王一军曹一家徐勇曹小明
Owner CENT SOUTH UNIV
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