Izvestiya vuzov. Yadernaya Energetika

The peer-reviewed scientific and technology journal. ISSN: 0204-3327

Use of pre-commissioning results to develop, tune and validate the operator intelligent support system at unit № 1 of novovoronezh NPP II

10/02/2017 2017 - #03 Global safety, reliability and diagnostics of nuclear power installations

Gusev I.N. Solovyev B.L. Povarov V.P. Kuzhil A.S. Padun S.P.

DOI: https://doi.org/10.26583/npe.2017.3.04

UDC: 621.039.4

The AES#200 power unit control concept contains requirements to the information support of control in different operating modes to be implemented as part of the unit’s automated process control system (APCS). The requirements include standard APCS functions intended for the primary processing of measurement data, organization of alarms, arrangement of archives, presentation of measured, calculated and diagnostic data, as well as to monitor the status of critical safety functions.

The list lacks the function that is essential for the safe and reliable operation of equipment. This is the capability to analyze the course of the process in real time and prospectively which makes it possible to provide the operator with the guidance on the best way to control the process, specifically in situations with a limited time available for decision#making.

Therefore, a decision was made in 2014 by Novovoronezh NPP, VNIIAES and JSC «SNIIP-Atom» to develop an operator intelligent support system (OISS) to be a part of the top level system at unit 1 of Novovoronezh NPP II. A software model of the unit was built as part of this work to operate in the OISS.

The fundamentals of the OISS construction are discussed. Operating data obtained in the process of pre#commissioning are used to validate the model.

Two individual cases are considered to illustrate the process of the computational model adaptation based on test results: – determination of model characteristics for the reactor coolant pumps; – fine tuning of the steam generator water level regulators.

The data obtained at the commissioning stage of Novovoronezh II’s unit 1 are used to adjust and perfect the OISS mathematical process models.


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OISS measured parameters technical state analysis power unit model operation data model validation unit status change prediction