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

Paweł Sokólski, Tomasz A. Rutkowski, Bartosz Ceran, Daria Złotecka and Dariusz Horla
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Paweł Sokólski: Faculty of Automatic Control, Robotics and Electrical Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland
Tomasz A. Rutkowski: Faculty of Electrical and Control Engeneering, Gdańsk University of Technology, ul. Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland
Bartosz Ceran: Faculty of Environmental Engineering and Energy, Poznań University of Technology, ul. Piotrowo 5, 61-138 Poznań, Poland
Daria Złotecka: Faculty of Environmental Engineering and Energy, Poznań University of Technology, ul. Piotrowo 5, 61-138 Poznań, Poland
Dariusz Horla: Faculty of Automatic Control, Robotics and Electrical Engineering, Poznań University of Technology, ul. Piotrowo 3a, 60-965 Poznań, Poland

Energies, 2022, vol. 15, issue 7, 1-24

Abstract: 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.

Keywords: system stabilizer; power system; model predictive control; recursive least squares; parameter estimation; synchronous generator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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