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

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...

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Bibliographic Details
Main Authors: Ceran, B. (Author), Horla, D. (Author), Rutkowski, T.A (Author), Sokólski, P. (Author), Złotecka, D. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher
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020 |a 19961073 (ISSN) 
245 1 0 |a Numbers, Please: Power-and Voltage-Related Indices in Control of a Turbine-Generator Set 
260 0 |b MDPI  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.3390/en15072453 
520 3 |a 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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland. 
650 0 4 |a Computer control systems 
650 0 4 |a Electric machine control 
650 0 4 |a Electric power system control 
650 0 4 |a Generator sets 
650 0 4 |a In-control 
650 0 4 |a model predictive control 
650 0 4 |a Model predictive control 
650 0 4 |a Model-predictive control 
650 0 4 |a parameter estimation 
650 0 4 |a Parameters estimation 
650 0 4 |a Power 
650 0 4 |a power system 
650 0 4 |a Power system 
650 0 4 |a Predictive control systems 
650 0 4 |a recursive least squares 
650 0 4 |a Recursive least squares 
650 0 4 |a Squared errors 
650 0 4 |a Stabiliser 
650 0 4 |a synchronous generator 
650 0 4 |a Synchronous generators 
650 0 4 |a system stabilizer 
650 0 4 |a System stabilizer 
650 0 4 |a Turbines 
650 0 4 |a Turbogenerators 
700 1 0 |a Ceran, B.  |e author 
700 1 0 |a Horla, D.  |e author 
700 1 0 |a Rutkowski, T.A.  |e author 
700 1 0 |a Sokólski, P.  |e author 
700 1 0 |a Złotecka, D.  |e author 
773 |t Energies