A New Approach for Optimal Operation of Thermal Power Plant

Now a day’s one of the critical issues in a thermal power plant is to improve the efficiency of individual equipment. The various works found in literature shows that efficiency and availability depends on high reliability and maintainability of the equipments. But in present scenario with the concept of e– maintenance reduces the overall maintenance cost. The use of intelligent fault detection systems plays an important role for fault diagnosis and supervision in process control. Artificial intelligent applications in process control helps in timely detection, diagnosis and correction of abnormal operating condition in the thermal power plants. When the plant is in operating condition and within controllable region, detection and diagnosis of process faults at very early stage improves overall efficiency of operation. This paper, presents the theoretical approach on use of intelligent system for fault monitoring, control and fault diagnosis of thermal power plant operation. . So as to utilise minimum fuel to generate maximum steam as per demand of load which lead to thermal power plant optimization. The main objective of this paper is to proposed data driven, analytical and knowledge based approaches for thermal power plant by integrating various earlier solutions available for optimization of process operation.