Artificial Intelligent Based Energy Saving System in Thermal Power Plant
Abstract
This article aims to obtain the best solutions by increasing the performance of waste heat re-utilization technology. Fuzzy PID controllers will replace proportional-integral-derivatives (PIDs) with fuzzy controllers. This article provides the current status of waste-to-energy conversion, the features and advantages of fuzzy control systems, and the development of fuzzy control systems for renewable energy sources.The main objective is to reduce waste heat in the system, transform lost energy from the source into usable work, and increase the energy conversion process's efficiency. This smart idea altogether increases boiler effectiveness by an average of 1% when it comes to preserving a minimum of 50 tons of combustibles per year. Three controllers were compared using overshoot, rise time, Integral squared error (ISE), Integraltime absolute error (IAE), and Integral time total absolute error (ITAE) as performance indicators. Simulations show that this optimization works well for PID and Fuzzy Logic controller proportional integral derivative (FLC-PID). The scheme has been proven to be able to improve system response compared to traditional controllers. These are the components used to architecture a PID controller and learn its feedback to changes in input parameters. Field analysis revealed significant overshoot, failure, and Integral squared error (ISE) that could affect product quality. To address effect of problem and make device more powerful, an intelligent Mamdani-type fuzzy logic proportional integral derivative controller was also arranged, and its feedback was simulated. A comparison of the responses of FLC-PID and PID shows that the rise time of the former is greater than that of the latter. The results show that FLC-PID improves the tracking ability and therefore has better control performance for changes in product concentration.