Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics
Power consumption management is crucial to maintaining the reliable operation of power grids, especially in the context of the decarbonization of the electric power industry. Managing power consumption of industrial enterprises by personnel proved ineffective, which required the development and impl...
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2025-01-01
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| author | Pavel Ilyushin Boris Papkov Aleksandr Kulikov Konstantin Suslov |
| author_facet | Pavel Ilyushin Boris Papkov Aleksandr Kulikov Konstantin Suslov |
| author_sort | Pavel Ilyushin |
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| description | Power consumption management is crucial to maintaining the reliable operation of power grids, especially in the context of the decarbonization of the electric power industry. Managing power consumption of industrial enterprises by personnel proved ineffective, which required the development and implementation of automatic energy consumption management systems. Optimization of power consumption behavior requires comprehensive and reliable information on the parameters of the technological processes of an industrial enterprise. The paper explores the specific features of non-stationary conditions of output production and assesses the potential for power consumption management under these conditions. The analysis of power consumption modes was carried out based on the consideration of random factors determined by both internal and external circumstances, subject to the fulfillment of the production plan. This made it possible to increase the efficiency of power consumption in mechanical engineering production by taking into account the uncertainty of seasonal and technological fluctuations by 15–20%, subject to the fulfillment of the production plan. This study presents a justification for utilizing the theory of level-crossings of random processes to enhance the reliability of input information. The need to analyze the specific features of technological processes based on the probabilistic structure and random functions is proven. This is justified because it becomes possible to fulfill the production plan with technological fluctuations in productivity and, accordingly, power consumption, which exceeds the nominal values by more than 5%. In addition, the emission characteristics are clear, easy to measure, and allow the transition from analog to digital information presentation. The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems. |
| format | Article |
| id | doaj-art-ef33ba47a3c54bb0ab0e5ef04a274e04 |
| institution | Kabale University |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
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| series | Algorithms |
| spelling | doaj-art-ef33ba47a3c54bb0ab0e5ef04a274e042025-01-24T13:17:37ZengMDPI AGAlgorithms1999-48932025-01-011814910.3390/a18010049Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process CharacteristicsPavel Ilyushin0Boris Papkov1Aleksandr Kulikov2Konstantin Suslov3Department of Research on the Relationship Between Energy and the Economy, Energy Research Institute of the Russian Academy of Sciences, 117186 Moscow, RussiaDepartment of Electrification and Automation, Nizhny Novgorod State University of Engineering and Economics, Knyaginino, 606340 Nizhny Novgorod, RussiaDepartment of Electroenergetics, Power Supply and Power Electronics, Nizhny Novgorod State Technical University n.a. R.E. Alekseev, 603950 Nizhny Novgorod, RussiaZhejiang Baima Lake Laboratory Co., Ltd., Hangzhou 310000, ChinaPower consumption management is crucial to maintaining the reliable operation of power grids, especially in the context of the decarbonization of the electric power industry. Managing power consumption of industrial enterprises by personnel proved ineffective, which required the development and implementation of automatic energy consumption management systems. Optimization of power consumption behavior requires comprehensive and reliable information on the parameters of the technological processes of an industrial enterprise. The paper explores the specific features of non-stationary conditions of output production and assesses the potential for power consumption management under these conditions. The analysis of power consumption modes was carried out based on the consideration of random factors determined by both internal and external circumstances, subject to the fulfillment of the production plan. This made it possible to increase the efficiency of power consumption in mechanical engineering production by taking into account the uncertainty of seasonal and technological fluctuations by 15–20%, subject to the fulfillment of the production plan. This study presents a justification for utilizing the theory of level-crossings of random processes to enhance the reliability of input information. The need to analyze the specific features of technological processes based on the probabilistic structure and random functions is proven. This is justified because it becomes possible to fulfill the production plan with technological fluctuations in productivity and, accordingly, power consumption, which exceeds the nominal values by more than 5%. In addition, the emission characteristics are clear, easy to measure, and allow the transition from analog to digital information presentation. The algorithm and methods developed to analyze the power consumption patterns of industrial enterprises can be used to develop automatic power consumption management systems.https://www.mdpi.com/1999-4893/18/1/49industrial enterprisetechnological processanalysis of power consumption behaviorpower consumption managementtheory of level-crossings of random processesrandom function |
| spellingShingle | Pavel Ilyushin Boris Papkov Aleksandr Kulikov Konstantin Suslov Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics Algorithms industrial enterprise technological process analysis of power consumption behavior power consumption management theory of level-crossings of random processes random function |
| title | Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics |
| title_full | Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics |
| title_fullStr | Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics |
| title_full_unstemmed | Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics |
| title_short | Algorithm and Methods for Analyzing Power Consumption Behavior of Industrial Enterprises Considering Process Characteristics |
| title_sort | algorithm and methods for analyzing power consumption behavior of industrial enterprises considering process characteristics |
| topic | industrial enterprise technological process analysis of power consumption behavior power consumption management theory of level-crossings of random processes random function |
| url | https://www.mdpi.com/1999-4893/18/1/49 |
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