A novel deep learning approach for estimating and classifying short-term voltage stability events in modern power systems with composite load and distributed energy resources

Vineeth, V. V.; Vijayalakshmi, V. J.

doi:10.1007/s00202-024-02625-z

Electr Eng

2024

DOI: 10.1007/s00202-024-02625-z

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A novel deep learning approach for estimating and classifying short-term voltage stability events in modern power systems with composite load and distributed energy resources

V. V. Vineeth,

V. J. Vijayalakshmi

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Active Power Dispatch of Renewable Energy Power Systems Considering Multiple Renewable Energy Station Short-Circuit Ratio Constraints

Wu,

Xu,

Lin

et al. 2024

Electronics

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Active power dispatch of new energy refers to an effective method of ensuring the stable operation and optimal economic benefits of new energy power systems through scientific and rational planning and control of active power output from new energy generation. However, as the proportion of new energy increases, the system’s voltage support capacity decreases, leading to potential voltage collapse and oscillation issues. The Multiple Renewable Energy Station Short-Circuit Ratio (MRSCR) is a critical indicator of the system’s voltage support capacity for power systems with high new energy penetration. This study aims to introduce MRSCR constraints into the active power dispatch to guarantee sufficient grid integration strength and stable operation. The MRSCR constraints are approximated using the least squares fitting method. Additionally, this study compares the economic benefits and margin of the indicators between wind and thermal power active scheduling models with and without considering MRSCR. Case studies show that the active scheduling model considering MRSCR constraints improves the MRSCR margin with minimal loss of economic benefits.

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Active Power Dispatch of Renewable Energy Power Systems Considering Multiple Renewable Energy Station Short-Circuit Ratio Constraints

Wu,

Xu,

Lin

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

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A novel deep learning approach for estimating and classifying short-term voltage stability events in modern power systems with composite load and distributed energy resources

Cited by 1 publication

References 35 publications

Active Power Dispatch of Renewable Energy Power Systems Considering Multiple Renewable Energy Station Short-Circuit Ratio Constraints

Active Power Dispatch of Renewable Energy Power Systems Considering Multiple Renewable Energy Station Short-Circuit Ratio Constraints

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