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

Model prediction control method of LCL type battery energy storage converter

A technology of model predictive control and battery energy storage, applied in the direction of circuit devices, AC network circuits, AC network load balancing, etc., can solve the problems of information loss, difficulty in obtaining grid phase information, etc., to improve reliability, reduce costs and The complexity of control, the effect of improving the quality of incoming current

Inactive Publication Date: 2021-05-14
博仕(上海)能源有限公司
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A simple method is to use zero-crossing detection, but the zero-crossing detection is only detected once for each half-wave, and the information of the latter half-wave is lost. Once the grid voltage is unbalanced or the grid voltage is distorted, it is difficult to obtain the phase information of the grid
The phase-locked loop can obtain satisfactory results by adjusting the bandwidth when the grid voltage is unbalanced or the grid voltage is distorted. Therefore, the phase-locked loop based on the grid voltage is usually used to obtain the phase information of the grid voltage. This conventional method is not applicable without using the grid. The case of the voltage sensor

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
  • Model prediction control method of LCL type battery energy storage converter
  • Model prediction control method of LCL type battery energy storage converter
  • Model prediction control method of LCL type battery energy storage converter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0065] The invention provides a model predictive control method for an LCL battery energy storage converter, comprising the following steps:

[0066] Step 1. Sampling and conditioning the electrical physical quantities in the circuit. The electrical physical quantities include: DC bus voltage U dc , the output voltage v of the phase arm of the three-phase two-level circuit i , the three-phase current i flowing through the inverter side inductance 1 , the incoming current is the three-phase current i flowing through the grid-side inductance 2 , the voltage u across the capacitor c ; Perform analog-to-digital conversion on the sampled physical quantity, and then convert and process the value obtained by the analog-to-digital conversion module in the con...

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 provides a model prediction control method of an LCL type battery energy storage converter. The method achieves the estimation of a voltage of a power grid through the construction of an intermediate variable (flux linkage), and serves as a basis for improving a finite control set model predictive control algorithm. And then the estimated power grid voltage passes through a delay compensation link so that the influence of calculation delay on the system performance is eliminated, and the quality of a network access current is improved. Phase locking is carried out by adopting the flux linkage so that the power grid voltage phase information is estimated, and the same phase of the network access current and the power grid voltage is realized. By adopting the method of combining power grid voltage estimation, flux linkage-based phase locking and delay compensation, control without a power grid voltage sensor can be realized, and the quality of the network access current can be improved and network access of a power grid current unit power factor can be realized while the number of sensors is reduced and the cost is decreased.

Description

technical field [0001] The invention relates to the technical field of electrical automation equipment, in particular to an improved finite control set model prediction applied to LCL battery energy storage converters, aiming at no grid voltage sensor, realizing unit power factor of grid current into the grid, and improving system performance control algorithm. Background technique [0002] As the negative impact of undispatchable fluctuating power of new energy sources becomes more and more serious, battery energy storage technology has attracted widespread attention. The energy storage converter acts as the interface between the battery and the grid, and its control performance directly affects the quality of power output by the power generation system. Therefore, it is very important to choose an appropriate control strategy. In recent years, nonlinear control strategies represented by model predictive control, sliding mode control, and passive control have been widely u...

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): H02J3/32
CPCH02J3/32H02J2203/20
Inventor 吴映阳
Owner 博仕(上海)能源有限公司
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