Modern approaches to a problem of NPP automatic regulators parameters setting

Abstract

Purpose of I&C (instrumentation and control) system is monitor and control of processing procedure and equipment for reaching main goal of nuclear power plant (NPP) – electric energy generation providing nuclear and radiological safety and economic efficiency of processing procedure. One of the main functions of NPP I&C system is control of technological processes in nuclear unit equipment via automatic regulators providing optimality of electric energy generation process. Algorithms of I&C systems, especially laws of control, are realized on hardware and software complex TPTS. A great number of automatic regulators are used in process of electric energy generation on NPP. Despite nuclear units are standard (they have same reactor system project), they have unique characteristics – nuclear units differ by technological characteristics of reactor system equipment and technological equipment providing electric energy generation process control. That is why parameters of respective automatic regulators for each nuclear unit are corrected after theoretical calculations in nuclear unit checkout process that cause specific economic and energetic losses. For solving this problem in this paper modern methods of NPP automatic regulators parameters setting are considered such as “intelligent” control system (based on neural networks and fuzzy logic) and using of analytical simulators of NPP nuclear units, which are used for researches of reactor system physics and researches of behavior of technological equipment respective nuclear unit.