IP Library Granted Patent US 12,438,379
Granted Patent B2
US 12,438,379 · App. 18/924,276 · Granted Oct 7, 2025

Method and system for enhancing transient stability of power system with renewable energy

Inventors: Guoteng Wang (Hangzhou, CN); Wentao Liu (Hangzhou, CN); Ying Huang (Hangzhou, CN); Yan Li (Guangzhou, CN); Baorong Zhou (Guangzhou, CN); Ye Zhang (Guangzhou, CN); Wangqianyun Tang (Guangzhou, CN); Zheng Xu (Hangzhou, CN)
Assignees: ZHEJIANG UNIVERSITY; CHINA SOUTHERN POWER GRID CSG ELECTRIC POWER RESEARCH INSTITUTE; China Southern Power Grid Co., Ltd.
H02J3/40G01R31/52H02J2203/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,438,379
App. No.
18/924,276
Granted
Oct 7, 2025
Kind
B2
Abstract

A method for enhancing transient stability of a renewable energy power system is performed as follows. An external subsystem corresponding to the renewable energy power system is constructed. A first matrix corresponding to the external subsystem based on voltage control is constructed. A second matrix corresponding to the renewable energy power system is generated. A transient stability Lyapunov function corresponding to the renewable energy power system is constructed in real time based on the first matrix and the second matrix. A first control signal corresponding to the renewable energy power system is generated based on Lyapunov's second method. The transient stability of the renewable energy power system is controlled and enhanced in real time based on the first control signal. The first control signal is an adaptive voltage control signal of the renewable energy power system.

Claims (236)

1. A method for enhancing transient stability of a renewable energy power system, comprising:

(1) constructing an external subsystem corresponding to the renewable energy power system; and constructing a first matrix corresponding to the external subsystem based on voltage control; wherein the first matrix is a matrix expression of the external subsystem under an ideal voltage control condition;

(2) generating a second matrix corresponding to the renewable energy power system; and constructing a transient stability Lyapunov function corresponding to the renewable energy power system in real time based on the first matrix and the second matrix; wherein the second matrix is a matrix expression of the external subsystem under an actual voltage control condition; and

(3) generating a first control signal corresponding to the renewable energy power system based on Lyapunov's second method; and detecting, by at least one sensor of the renewable energy power system, a deviation of an output voltage from a predetermined threshold, and adjusting, by a control system of an inverter, a voltage reference value of the inverter in real time based on the first control signal, thereby controlling and enhancing transient stability of the renewable energy power system; wherein the first control signal is an adaptive voltage control signal of the renewable energy power system.

2. The method of claim 1 , wherein step (1) further comprises:

constructing a grid-forming inverter corresponding to the renewable energy power system; and creating at least three control loops corresponding to the grid-forming inverter; wherein the at least three control loops comprise a virtual synchronization loop, a current inner loop, and a current outer loop; and

generating an output current function corresponding to an output power of the grid-forming inverter; and establishing a nonlinear system model corresponding to the renewable energy power system based on the output current function.

3. The method of claim 2 , wherein the output power of the grid-forming inverter is obtained through the following formula:

P

si

=

u

sd

i

i

sd

i

+

u

sq

i

i

sq

i

=

R

ii

(

i

sd

i

2

+

i

sq

i

2

)

+

j

=

1

,

j

i

N

[

R

ij

(

i

sq

j

i

sd

i

-

i

sd

i

i

sq

i

)

+

X

ij

(

i

sd

i

i

sd

j

+

i

sq

i

i

sq

j

)

]

sin

δ

ij

+

j

=

1

,

j

i

N

[

R

ij

(

i

sd

j

i

sd

i

+

i

sq

i

i

sq

i

)

+

X

ij

(

i

sq

i

i

sd

j

-

i

sq

i

i

sq

j

)

]

cos

δ

ij

;

wherein P si represents an output power of an i-th grid-forming inverter, i sdi represents a d-axis component of an actual output current of the i-th grid-forming inverter, i sqi represents a q-axis component of the actual output current of the i-th grid-forming inverter, u sdi represents a d-axis component of a bus voltage of the i-th grid-forming inverter, u sqi represents a q-axis component of the bus voltage of the i-th grid-forming inverter, i sdj represents a d-axis component of an actual output current of a j-th grid-forming inverter, i sqi represents a q-axis component of the actual output current of the j-th grid-forming inverter, R ij represents a real part of an element in an i-th row and a j-th column of an impedance matrix, R ij represents a real part of an element in the i-th row and an i-th column of the impedance matrix, X ij represents an imaginary part of the element in the i-th row and the j-th column of the impedance matrix, and δ ij represents an angle difference between the i-th grid-forming inverter and the j-th grid-forming inverter.

4. The method of claim 1 , wherein step (1) further comprises:

obtaining a second control signal corresponding to the external subsystem under the ideal voltage control condition; wherein the second control signal is obtained through the following formula:

v

=

K

a

T

ξ

+

K

c

T

C

;

wherein v represents the second control signal; C represents a coefficient matrix; ξ represents an external variable vector of the renewable energy power system; and K a and K c are coefficient matrices of an ideal control scheme.

5. The method of claim 4 , wherein the external subsystem is represented by:

ξ

˙

=

A

ξ

+

Bv

+

C

;

wherein ξ represents the external variable vector of the renewable energy power system; A, B, and C are coefficient matrices; and v represents an auxiliary control signal for individual inverters in the renewable energy power system.

6. The method of claim 1 , wherein step (3) further comprises:

obtaining the first control signal by calculation through the following formula:

u

=

A

ξ

+

B

K

^

a

T

ξ

+

B

K

^

c

T

C

;

wherein u represents the first control signal; A, B, and C are coefficient matrices; ξ represents an external variable vector of the renewable energy power system; and {circumflex over (K)} a and {circumflex over (K)} c are coefficient matrices that satisfy a Lyapunov stability condition.

7. The method of claim 1 , further comprising:

after step (3), generating a short-circuit fault data corresponding to the renewable energy power system, and verifying transient stability of the renewable energy power system in real time based on the short-circuit fault data.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 31, 2025
From: WANG, GUOTENG; LIU, WENTAO; HUANG, YING; LI, YAN; ZHOU, BAORONG; ZHANG, YE; TANG, WANGQIANYUN; XU, ZHENG
To: ZHEJIANG UNIVERSITY; CHINA SOUTHERN POWER GRID CSG ELECTRIC POWER RESEARCH INSTITUTE
Reel/Frame 070685/0488 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 31, 2025
From: ZHEJIANG UNIVERSITY; CHINA SOUTHERN POWER GRID CSG ELECTRIC POWER RESEARCH INSTITUTE
To: ZHEJIANG UNIVERSITY; CHINA SOUTHERN POWER GRID CSG ELECTRIC POWER RESEARCH INSTITUTE; CHINA SOUTHERN POWER GRID CO., LTD.
Reel/Frame 070690/0573 →
Continuity (2)
Continuation PCTCN2024109262 · Aug 1, 2024
Related Publication 20250047103A1 · Feb 6, 2025
References Cited (14)
US 11303579B1 · Fan et al. · 2022 [cited by applicant]
US 20200335978A1 · Ren · 2020 [cited by examiner]
CN 108539737A · 2018 [cited by applicant]
CN 115117877A · 2022 [cited by applicant]
CN 115566721A · 2023 [cited by applicant]
CN 117113688A · 2023 [cited by applicant]
CN 117369264A · 2024 [cited by applicant]
CN 118232410A · 2024 [cited by examiner]
CN 118572771A · 2024 [cited by examiner]
Mohammad Shahidehpour et al, (Voltage-Adaptive Strategy for Transient Stability Enhancement of Power Systems With 100% Renewable Energy), Feb. 16, 2024, pp. 1364-1376 downlaoded from https://ieeexplore.ieee.org/abstract… [cited by examiner]
Wikipedia, (Lyapunov stability (2025)) this document teaches the Lyapunov second method, pp. 8, downloaded 2025, downloaded from https://en.wikipedia.org/wiki/Lyapunov_stability (Year: 2025). [cited by examiner]
Xiuqiang He et al, “Transient Stability Analysis and Enhancement of Renewable Energy Conversion System During LVRT”, 2020, pp. 1612-1623, downloaded from https://ieeexplore.ieee.org/abstract/document/8784269 (Year: 2020… [cited by examiner]
Fabio Andrade, et al, “Study of Large-Signal Stability of an Inverter-based Generator using a Lyapunov Function”, 2014, pp. 1840-1846, downloaded from https://ieeexplore.ieee.org/abstract/document/7048752 (Year: 2014). [cited by examiner]
Souvik Dasgupta et al, “Lyapunov Function-Based Current Controller to Control Active and Reactive Power Flow From a Renewable Energy Source to a Generalized Three-Phase Microgrid System”, 2013, pp. 799-813 downloaded fr… [cited by examiner]