An Experimental study of Boiler Drum Level Controller performance through System Identification Models

An increasing dissemination of renewable energy is posing significant challenges to a power system due to characteristic sporadicity. Obtaining the rapid grid balance through the management of power output by conventional power plant is of highest priority to make renewable energy sustainable. These rapid changes in power demand cause severe changes especially in the operation of steam boiler in thermal power generation. This paper presents design of boiler level control schemes to improve control performance through system identification techniques. Different operating conditions are considered to improve the performance of the control system. Different controller tuning methods are simulated to check the performance of different controller modes with different estimated models. The data driven modeling and design of model based control is found to be a suitable solution to assimilate more advanced control schemes.