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Title

Numbers, Please: Power- and Voltage-Related Indices in Control of a Turbine-Generator Set

Authors

[ 1 ] Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ 2 ] Instytut Elektroenergetyki, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ 3 ] Instytut Robotyki i Inteligencji Maszynowej, Wydział Automatyki, Robotyki i Elektrotechniki, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics, electrical engineering and space technologies
[2.10] Environmental engineering, mining and energy

Year of publication

2022

Published in

Energies

Journal year: 2022 | Journal volume: vol. 15 | Journal number: iss. 7

Article type

scientific article

Publication language

english

Keywords
EN
  • system stabilizer
  • power system
  • model predictive control
  • recursive least squares
  • parameter estimation
  • synchronous generator
Abstract

EN This paper discusses the proper selection and interpretation of aggregated control performance indices values mirroring the quality of electrical energy generation by a turbine-generator set cooperating with a power system. Typically, a set of basic/classical and individual indices is used in energy engineering to ensure the mirroring feature and is related to voltage, frequency and active or reactive power deviations from their nominal values desired in the power system. In this paper, aggregated indices based on the sum of weighted integral indices are proposed, verified and built based on the well-known indices originating from control theory. These include an integral of the squared error (ISE) and an integral of the squared error multiplied by time (ITSE), applicable whenever an in-depth analysis and evaluation of various control strategies of the generation system is to be performed. In the reported research, the computer simulation tests verified their effectiveness in assessing the generated electricity on the example of a turbine-generator set controlled using a predictive control technology as well as applicability, proven by numerous simulation results to take various and different in nature requirements into account efficiently, in the form of a single aggregated index.

Date of online publication

27.03.2022

Pages (from - to)

2453-1 - 2453-24

DOI

10.3390/en15072453

URL

https://www.mdpi.com/1996-1073/15/7/2453/pdf

Comments

Article number: 2453

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Release date

27.03.2022

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

Ministry points / journal

140

Impact Factor

3,2

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