Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study

Thermal power plant being large and complex, the design of its control system involves numerous problems, such as costs, quality, environmental impact, safety, reliability, accuracy, and robustness. Thus, the use of a multidiscipline approach is suggested to satisfy these requirements in an acceptable and well-balanced manner and a hybridization of soft computing with hard computing proves to be a natural and practical use. Although the soft computing technology has distinguished features, the use of soft computing technology would be ineffective, if it is improperly associated with conventional hard computing technology and control processes. Proper integration is key to success and a general mode of fusion is worth examining. In this paper, through a survey of published literature, a general model of fusion is shown at the system level. In the system level, soft computing is applied to the upper level in a hierarchical control system, performing human-like tasks such as forecasting and scheduling or applied to ill-defined process models for carrying out intelligent control. It is found that intelligent system has suitable & desirable performance as compare to conventional system which helps to improve the overall operational efficiency of total system. KEY WORD : intelligent system, fuzzy control, neural control, hybrid system boiler efficiency. Losses control