Dynamic safety assessment of a nonlinear pumped-storage generating system in a transient process

Abstract

This paper focuses on a pumped-storage generating system with a reversible Francis turbine and presents an innovative framework for safety assessment in an attempt to overcome their limitations. Thus the aim is to analyze the dynamic safety process and risk probability of the above nonlinear generating system. This study is carried out based on an existing pumped-storage power station. In this paper we show the dynamic safety evaluation process and risk probability of the nonlinear generating system using Fisher discriminant method. A comparison analysis for the safety assessment is performed

Optimized Takagi–Sugeno Fuzzy Mixed H2/H∞ Robust Controller Design Based on CPSOGSA Optimization Algorithm for Hydraulic Turbine Governing System

“…Therefore, many researchers have adopted some advanced intelligent control theories to optimize the control effect on the HTGS [14][15][16][17]. Nonlinear PID control, sliding mode control, model predictive control, Hamilton energy function method, and other nonlinear control applications have been applied to HTGS control problems, and all have achieved positive control results [18][19][20][21]. However, the above nonlinear modeling and control methods require a more in-depth mathematical foundation that is not easily mastered by most engineers and technicians.…”