The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation, turbine and flexible AC transmission systems (FACTS). The crucial factors affecting the modern power systems today is voltage and load flow control. Simulation studies in the PSCAD/EMTDC environment and realtime laboratory experimental studies carried out are described and the results show the successful control of the power system elements and the entire power system with adaptive and optimal neurocontrol schemes. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances
The crucial factor affecting the modern power systems today is load flow control. The Unified Power ...
This paper presents a novel optimal neurocontroller that replaces the conventional controller (CONVC...
This paper presents the design and practical hardware implementation of optimal neurocontrollers tha...
The increasing complexity of the modern power grid highlights the need for advanced modeling and con...
Based on derivative adaptive critics, neurocontrollers for excitation and turbine control of multipl...
A novel nonlinear optimal controller for a static compensator (STATCOM) connected to a power system,...
Modern power systems operate much closer to their stability limits than before. With the introductio...
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power sy...
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power sy...
Based on derivative adaptive critics, a novel nonlinear optimal voltage/excitation control for a mul...
The design and real-time implementation of derivatives adaptive critic based neurocontrollers that r...
This paper presents a novel nonlinear optimal controller for a static compensator (STATCOM) connecte...
This paper first presents a general overview of Adaptive Critic Designs (ACDs) and their existing co...
This paper presents the design of an optimal neurocontroller that replaces the conventional automati...
The design of optimal neurocontrollers that replace the conventional automatic voltage regulators fo...
The crucial factor affecting the modern power systems today is load flow control. The Unified Power ...
This paper presents a novel optimal neurocontroller that replaces the conventional controller (CONVC...
This paper presents the design and practical hardware implementation of optimal neurocontrollers tha...
The increasing complexity of the modern power grid highlights the need for advanced modeling and con...
Based on derivative adaptive critics, neurocontrollers for excitation and turbine control of multipl...
A novel nonlinear optimal controller for a static compensator (STATCOM) connected to a power system,...
Modern power systems operate much closer to their stability limits than before. With the introductio...
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power sy...
A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power sy...
Based on derivative adaptive critics, a novel nonlinear optimal voltage/excitation control for a mul...
The design and real-time implementation of derivatives adaptive critic based neurocontrollers that r...
This paper presents a novel nonlinear optimal controller for a static compensator (STATCOM) connecte...
This paper first presents a general overview of Adaptive Critic Designs (ACDs) and their existing co...
This paper presents the design of an optimal neurocontroller that replaces the conventional automati...
The design of optimal neurocontrollers that replace the conventional automatic voltage regulators fo...
The crucial factor affecting the modern power systems today is load flow control. The Unified Power ...
This paper presents a novel optimal neurocontroller that replaces the conventional controller (CONVC...
This paper presents the design and practical hardware implementation of optimal neurocontrollers tha...