ISSN (Print) : 2320 – 3765 ISSN (Online): 2278 – 8875 International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, I ssue 10, October 2014 10.15662/ijareeie.2014.0310007 Copyright to IJAREEIE www.ijareeie.com 12357 Intelligent System for Efficiency Enhancing Program of Thermal Power Plant: A Case Study S. Panda 1 , P.S. Ratha 2 , Dr. N.K. Barpanda 3 Associate professor, Department of Applied Electronics & Instrumentation, G I E T, Gunupur, Odisha, India Assistant professor, Department of Electronics &communication, G I E T, Gunupur, Odisha, India Associate professor, Department of Electronics &communication, G I E T, Gunupur, Odisha, India ABSTRACT: 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 I. INTRODUCTION Efficiency of any Boiler depends upon minimization of various indirect losses of the boiler. So the amount of energy input in the boiler by burning the fuel can be maximum utilized for generation of steam and cost of steam can be minimized ultimately. The following indirect losses can be minimized for efficient boiler efficiency. ฀. Dry Flue Gas Loss ฀ .Fuel Moisture Loss ฀. Blow Down Losses ฀ .Incomplete Combustion Loss ฀ .Air Moisture Loss ฀. Radiation and Convection Loss After knowing the various heat losses it is possible to take counter action Intelligent system offer one of the most potentially profitable usages in recent developments. IS have been used in a broad range of applications in optimization, prediction and automatic control of process in a power plant by concentrating on following action over the mention losses control loop. Combustion Control Optimization ----- Combustion controls adjust coal and air flow to optimize steam production for the steam turbine/generator set. However, combustion control for a coal-fired is complex and impacts a number of importent operating parameters including combustion efficiency, steam temperature, furnace slogging and fouling, and NOX formation. The technologies carbon levels in ash, coal flow rates, air flow rates, CO levels, oxygen