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Information system for prospective energy-saving management of small-scale energy facilities. 3: analysis of optimal energy-saving management
https://doi.org/10.15518/isjaee.2025.07.111-141
Abstract
The analysis of optimal energy-saving control is carried out. Using the method of synthesizing variables, the existence of a solution to the optimal control problem is analyzed. A programmatic and positional management strategy has been developed, and the stability of the optimal management system has been investigated. Models of optimal control of nonlinear objects, objects with distributed parameters, optimal control under the influence of disturbances and interference are constructed. It is shown that the use of the vector of synthesizing variables in the study of the stability of energy management systems with a positional strategy makes it possible to visualize the analysis process on the multiple states of functioning, to build areas of stability and areas where the system is stable with the required probability.
About the Authors
Yu. Yu. Gromov
Tambov State Technical University
Russian Federation
Russian Federation
Gromov Yuri Yurievich, Doctor of Techn. Sciences, Professor, Director of the Institute of Automation and Information Technologies,
392000, Tambov, Sovetskaya Str., 106.
Web of Science (Researcher ID): L-5152-2018;
SCOPUS ID: 7004166858.
V. A. Pogonin
Tambov State Technical University
Russian Federation
Russian Federation
Pogonin Vasiliy Aleksandrovich, Doctor of Techn. Sciences, Professor, Professor at the University,
392000, Tambov, Sovetskaya Str., 106.
Web of Science (Researcher ID): L-5213-2018;
SCOPUS ID: 3679096450.
V. M. Tyutyunnik
Tambov State Technical University
Russian Federation
Russian Federation
Tyutyunnik Viacheslav Mikhailovich, Doctor of Techn. Sciences, Professor, President and General Director of The International Nobel Information Centre (INIC), Professor at the Moscow State Institute of Culture and Tambov State Technical University,
392000, Tambov, Sovetskaya Str., 106.
Web of Science (Researcher ID): I-6050-2017;
SCOPUS ID: 57193325610.
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Review
For citations:
Gromov Yu.Yu., Pogonin V.A., Tyutyunnik V.M. Information system for prospective energy-saving management of small-scale energy facilities. 3: analysis of optimal energy-saving management. Alternative Energy and Ecology (ISJAEE). 2025;(7):111-141. (In Russ.) https://doi.org/10.15518/isjaee.2025.07.111-141
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