Identifying generator coherency with respect to slow oscillatory modes has numerous power system use cases including dynamic model reduction, dynamic security analysis, or system integrity protection schemes (e.g., power system islanding). Despite their popularity in both research and industry, classic eigenvector-based slow coherency techniques may not always return accurate results. The multiple past endeavors to improve their accuracy often lack a solid mathematical foundation. Motivated by these deficiencies, we propose an alternative consistent approach to generator slow coherency. Firstly, a new approach is introduced to accurately detect slow coherent generators by effectively minimizing generic normalized cuts. As a by-product, the ...
Abstract — We revisit the classic slow coherency and area aggregation approach to model reduction in...
Abstract—In cases of intentional fault and cyber attack of smart grid systems, the reaction-time to ...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.In this thesis we study a rel...
Identifying generator coherency with respect to slow oscillatory modes has numerous power system use...
In an electric power system, slow coherency can be applied to identify groups of the generating unit...
This project applies coherency methods for dynamic analysis of power sys-tems. It has been observed ...
In a bulk power system, generators can be divided into groups based on the variation of their swing ...
Slow coherency is one of the most relevant concepts used in power systems dynamics to group generato...
In this thesis we revisit the classic slow coherency and area aggregation approach to model reductio...
Coherency group identification is an integral constituent part of the wider field of reduction techn...
This paper presents an approach for online generator coherency identification based on windowed dyna...
This study provides a new general approach for defining coherent generators in power systems based o...
This paper presents a computer simulation of coherency-based dynamic equivalents for the reduction o...
A brief overview of the generator coherence indicators is presented, the areas and limitations of th...
Abstract—Generator coherency identification is establishing itself as an important task to aid in th...
Abstract — We revisit the classic slow coherency and area aggregation approach to model reduction in...
Abstract—In cases of intentional fault and cyber attack of smart grid systems, the reaction-time to ...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.In this thesis we study a rel...
Identifying generator coherency with respect to slow oscillatory modes has numerous power system use...
In an electric power system, slow coherency can be applied to identify groups of the generating unit...
This project applies coherency methods for dynamic analysis of power sys-tems. It has been observed ...
In a bulk power system, generators can be divided into groups based on the variation of their swing ...
Slow coherency is one of the most relevant concepts used in power systems dynamics to group generato...
In this thesis we revisit the classic slow coherency and area aggregation approach to model reductio...
Coherency group identification is an integral constituent part of the wider field of reduction techn...
This paper presents an approach for online generator coherency identification based on windowed dyna...
This study provides a new general approach for defining coherent generators in power systems based o...
This paper presents a computer simulation of coherency-based dynamic equivalents for the reduction o...
A brief overview of the generator coherence indicators is presented, the areas and limitations of th...
Abstract—Generator coherency identification is establishing itself as an important task to aid in th...
Abstract — We revisit the classic slow coherency and area aggregation approach to model reduction in...
Abstract—In cases of intentional fault and cyber attack of smart grid systems, the reaction-time to ...
148 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980.In this thesis we study a rel...