FINITE CONTROL SET MODEL PREDICTIVE CONTROL METHOD FOR LLCL-TYPE BATTERY ENERGY STORAGE CONVERTER

Title:

FINITE CONTROL SET MODEL PREDICTIVE CONTROL METHOD FOR LLCL-TYPE BATTERY ENERGY STORAGE CONVERTER

Document Type and Number:

WIPO Patent Application WO/2024/082730

Kind Code:

A1

Abstract:

The present invention relates to a finite control set model predictive control method for an LLCL-type battery energy storage converter. In the method, a finite control set model predictive control method is used for controlling an energy storage converter based on an LLCL filter. A state space mathematical model of the LLCL-type battery energy storage converter is established and is discretized to obtain a discrete model. Moreover, on the basis of a phasor method, a power-grid-side current reference value is converted into reference values of a converter-side current and a capacitor voltage. A cost function is defined. An output result of a predictive model is compared with the reference values. An optimal voltage vector is selected, and the most suitable on-off state is selected for operating. Compared with the prior art, by means of the present invention, grid connection harmonic can be effectively reduced, thereby improving the quality of electric energy; and full use is made of better filtering performance of an LLCL filter, thereby finally optimizing the quality of output electric energy of the LLCL-type energy storage converter.

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Inventors:

GAO NING (CN)
YANG CHENG (CN)
CHEN HAO (CN)
LI BO (CN)
WU WEIMIN (CN)

Application Number:

PCT/CN2023/107933

Publication Date:

April 25, 2024

Filing Date:

July 18, 2023

Export Citation:

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Assignee:

UNIV SHANGHAI MARITIME (CN)

International Classes:

H02J3/01; H02J3/32; H02M1/12

Domestic Patent References:

WO2015155183A1

2015-10-15

Foreign References:

CN115588987A	2023-01-10
CN112186791A	2021-01-05
CN204012739U	2014-12-10
CN110535161A	2019-12-03
US20220247177A1	2022-08-04

Attorney, Agent or Firm:

BEIJING GAOWO LAW FIRM (CN)

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