Intelligent Energy-Saving Decision Making and Delicacy Management for Power Enterprises

Abstract

Energy-saving management is playing increasingly important parts in the energy conservation of thermal power generation. The economic performance indexes were decomposed and clarified to set a delicacy energy-saving management system. With the great volume of operation data, an fuzzy rough set (FRS) –based big data analytics were introduced to build the intelligent energy-saving decision-making model. Based on such energy-saving management system, the operation optimization practice was performed on a 600MW thermal power unit to determine the optimum working state under specific operation conditions. The result shows that the proposed energy-saving management can makes great guidelines for the operation optimization and energy-saving diagnosis of thermal power units.