Abstract

Developments in power plant control are increasing steadily in recent years by seeking new techniques other than conventional PID controls. This panel introduces intelligent techniques to power plant control, which deal with complex dynamic systems having significant uncertainties. As for intelligent techniques, neural network (NN), fuzzy logic (FL), evolutionary programming (EP), genetic algorithm (GA), particle swarm optimization (PSO) and multi-agent system (MAS) are presented for the power plant control. Intelligent techniques provide control methodologies that improve the performance of the plant in a wide-range of operation. Moreover, intelligent techniques are shown to overcome the unpredictable dynamics, computational complexity and problems associated with large-scale distributed complex power plants.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.