Add to ORKGThis paper presents a new methodology to evaluate, within the framework of on-line security assessment, the dynamic behavior of interconnected power systems having an increased penetration of wind power production. This approach exploits functional knowledge generated off-line, the Regression Tree (RT) automatic learning method to perform Feature Subset Selection (FSS) and Artificial Neural Networks (ANN) to provide a way for fast evaluation of the security degree
Abstract: This paper presents a new approach to perform on-line dynamic security assessment and moni...
The process of determining whether a power system is in a secure or insecure state is a crucial task...
The integration of renewable energy into the power system requires rethinking the operating paradigm...
This paper presents the performed steps to design an Artificial Neural Network (ANN) tool, able to e...
Summary – This paper presents a new methodology to assess security of interconnected systems that ha...
Recently large-scale wind farms are integrated quite commonly into power systems. The stochastic ope...
This paper describes the application of advanced inductive inference and statistical methods to on-l...
This paper provides a description of thedevelopment of software tools able to deal with system fastd...
In power system operation, steady state security control is employed to provide continuous supply to...
This paper presents a new hybrid automatic learning approach, which combines artificial neural netwo...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
The increasing penetration of wind power can alter the dynamic security characteristic of a power sy...
The advantage of fast computation capability of an artificial neural network (ANN) is used to introd...
This paper describes the security assessment functions of an advanced control system for secure oper...
Abstract: This paper presents a new approach to perform on-line dynamic security assessment and moni...
The process of determining whether a power system is in a secure or insecure state is a crucial task...
The integration of renewable energy into the power system requires rethinking the operating paradigm...
This paper presents the performed steps to design an Artificial Neural Network (ANN) tool, able to e...
Summary – This paper presents a new methodology to assess security of interconnected systems that ha...
Recently large-scale wind farms are integrated quite commonly into power systems. The stochastic ope...
This paper describes the application of advanced inductive inference and statistical methods to on-l...
This paper provides a description of thedevelopment of software tools able to deal with system fastd...
In power system operation, steady state security control is employed to provide continuous supply to...
This paper presents a new hybrid automatic learning approach, which combines artificial neural netwo...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
Boosting the complexity of the electricity network, penetration of renewable resources, and moderniz...
The increasing penetration of wind power can alter the dynamic security characteristic of a power sy...
The advantage of fast computation capability of an artificial neural network (ANN) is used to introd...
This paper describes the security assessment functions of an advanced control system for secure oper...
Abstract: This paper presents a new approach to perform on-line dynamic security assessment and moni...
The process of determining whether a power system is in a secure or insecure state is a crucial task...
The integration of renewable energy into the power system requires rethinking the operating paradigm...