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Title

The Influence of Cooperation on the Operation of an MPC Controller Pair in a Nuclear Power Plant Turbine Generator Set

Authors

[ 1 ] Instytut Elektroenergetyki, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ 2 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering
[2.9] Environmental engineering, mining and energy

Year of publication

2022

Published in

Energies

Journal year: 2022 | Journal volume: vol. 15 | Journal number: iss. 18

Article type

scientific article

Publication language

english

Keywords
EN
  • nuclear power plant
  • cooperation
  • model predictive control
  • turbine generator set
  • energy generation
Abstract

EN The paper discusses the problem of cooperation between multiple model predictive control (MPC) systems. This approach aims at improving the control quality in electrical energy generation and forms the next step in a series of publications by the authors focusing on the optimization and control of electric power systems. Cooperation and cooperative object concepts in relation to a multi MPC system are defined and a cooperative control solution for a nuclear power plant’s turbine generator set is proposed. The aim of enabling information exchange between the controllers is to improve the performance of power generation. Presented and discussed simulation tests include various variants of information exchange between the turbine and synchronous generator MPC controllers of the nuclear power plant.

Date of online publication

13.09.2022

Pages (from - to)

6702-1 - 6702-19

DOI

10.3390/en15186702

URL

https://www.mdpi.com/1996-1073/15/18/6702/pdf?version=1663298720

Comments

Article number: 6702

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

13.09.2022

Date of Open Access to the publication

at the time of publication

Full text of article

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Access level to full text

public

Points of MNiSW / journal

140.0

Impact Factor

3.004 [List 2020]

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