Research On Load Control System Performance Fuzzy Assessment Of Thermal Power Plant

The load control system is one of the most important thermal control systems in thermal power unit. In order to establish a system that can automatically monitor the performance of the load control system and determine whether the system performance change is good or bad, this paper studies the performance evaluation method of thermal power unit load control system.Firstly, this paper establishes the load control system performance evaluation index based on time domain index and proposes fuzzy comprehensive evaluation model. This method uses membership function to divide the level of performance evaluation qualitatively. Finally, using the model simulation data to verified the effectiveness of the performance fuzzy evaluation method based on time domain index.Secondly, this paper proposes a new load control system performance fuzzy evaluation method. This method adopts the covariance index based on historical data,taking the ratio of evaluation function of the benchmark data and monitoring data as the control system performance evaluation index. Using membership function to improve the judgment criterion, through a large number of simulation experiments to determine the membership function based on fuzzy evaluation rules. And the qualitative evaluation is turned into quantitative evaluation. Finally, using model simulation data and the industrial field data to verified the effectiveness of the performance fuzzy evaluation method based on covariance index. Moreover, this paper proposes to look for benchmark data by using the covariance index, in order to provide the reliable benchmark data as optimal performance for the load control system performance evaluation.Finally, taking MATLAB/GUI as the development platform and designing thermal power unit load control system performance fuzzy evaluation software.