Island detection method based on the introduction of particle swarm optimization and phase disturbance

A particle swarm algorithm and phase perturbation technology, applied in neural learning methods, measuring electronics, measuring devices, etc., can solve the problems of island detection misjudgment and low success rate, so as to avoid misjudgment, improve accuracy, and solve misjudgment puzzle effect

Active Publication Date: 2016-08-17
HEFEI UNIV OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this detection method improves the performance of island detection to a certain extent, the success rate of detection is not high, especially when there are high-order harmonics in the power grid, it will lead to misjudgment of island detection

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
  • Island detection method based on the introduction of particle swarm optimization and phase disturbance
  • Island detection method based on the introduction of particle swarm optimization and phase disturbance
  • Island detection method based on the introduction of particle swarm optimization and phase disturbance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The preferred modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] This embodiment uses a distributed grid-connected system to verify the implementation effect of the present invention. The system includes a full-bridge inverter, an L filter, a load, a power grid, and a controller module; wherein, S1 and S2 are the grid power-down switch and the island cut-off respectively. Signal switch, its control algorithm is to obtain the grid voltage phase θ through phase-locked loop detection, Given by the DC current and given by sinθ * , The product of the instantaneous output current reference signal is obtained by The current inner loop adopts a simple P regulator, and the output of the current inner loop is superimposed with the feedforward signal of the grid voltage, and after SPWM control, the output drives the switching tube. The specific parameter settings of the system are shown in the tabl...

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 island detection method based on introducing a particle swarm optimization and phase disturbance. The island detection method comprises the following steps: detecting a voltage signal on a public coupling point in a period at a first phase and carrying out wavelet transform; reconstructing to obtain amplitudes of signals on dimensions; calculating to obtain energy of each dimension as an input signal of a particle swarm and a BP neural network; finally, carrying out mode identification by applying the BP neural network; adding the phase disturbance into a second phase to change the frequency of voltage of the public coupling point; carrying out frequency detection to determine whether a real island phenomenon occurs or not. According to the island detection method, the particle swarm optimization is added into the first phase and the phase disturbance is added into the second phase, so that the accuracy and reliability of island detection are greatly improved; the island detection method can be widely applied to grid-connected inverters of distributed energy source units including solar power generation, wind power generation and the like, single-phase distributed type grid-connected power generation systems, three-phase distributed grid-connected power generation systems and multi-inverter parallel distributed grid-connected power generation systems.

Description

technical field [0001] The invention relates to an island detection method, in particular to an island detection method based on the introduction of particle swarm algorithm and phase disturbance. Background technique [0002] At present, due to the continuous reduction of fuel energy and the increasingly serious harm to the environment, people have turned their attention to clean and huge reserves of renewable energy such as solar energy and wind energy. Distributed power generation technology based on renewable energy is an important direction for the future development of the power industry, and it also leads to a new problem - the island phenomenon. The so-called island means that when the main grid is in a power failure state due to failure or maintenance, the distributed generation system may continue to work and be connected to the local load in an independent operating state. After the island phenomenon occurs, it will threaten the safety of power grid maintenance p...

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 Patents(China)
IPC IPC(8): H02J3/38G06N3/02
CPCG01R31/00G06N3/08H02J3/388
Inventor 张兴杜成孝王涛
Owner HEFEI UNIV OF TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap