Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655724
A. Khalyasmaa, P. Matrenin
The paper discusses the problem of operational risks from the application of models based on machine learning in the power industry as in the case of the power consumption forecasting problem. Currently, studies on the machine learning application in the power industry are primarily aimed at improving the accuracy, adaptive capabilities of models, selecting and preprocessing of features. At the same time, the risks at the stage of trained models' application are not given due attention, although the incorrect use of the trained models can lead to a critical deterioration in accuracy and the appearance of errors unacceptable for the models' operation. The paper considers an example of constructing XGBoost and Random Forest models for power consumption short-term forecasting of a mining enterprise, taking into account meteorological factors. Various scenarios of corruption of the initial data used by the model to form a forecast are considered. It is shown how losses and gaps in the initial data increase the power consumption forecast error, causing the risk of significant financial losses when operating on the electricity market.
{"title":"Initial Data Corruption Impact on Machine Learning Models' Performance in Energy Consumption Forecast","authors":"A. Khalyasmaa, P. Matrenin","doi":"10.1109/USSEC53120.2021.9655724","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655724","url":null,"abstract":"The paper discusses the problem of operational risks from the application of models based on machine learning in the power industry as in the case of the power consumption forecasting problem. Currently, studies on the machine learning application in the power industry are primarily aimed at improving the accuracy, adaptive capabilities of models, selecting and preprocessing of features. At the same time, the risks at the stage of trained models' application are not given due attention, although the incorrect use of the trained models can lead to a critical deterioration in accuracy and the appearance of errors unacceptable for the models' operation. The paper considers an example of constructing XGBoost and Random Forest models for power consumption short-term forecasting of a mining enterprise, taking into account meteorological factors. Various scenarios of corruption of the initial data used by the model to form a forecast are considered. It is shown how losses and gaps in the initial data increase the power consumption forecast error, causing the risk of significant financial losses when operating on the electricity market.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1075 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122889000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655720
Yury A. Secretarev, T. Myateg, Tatyana E. Baldakova
In this paper, a universal method has been developed, which is a combination of an optimization method and a method for assessing the marginal utility. Using this method, it is reasonable to solve the problem of controlling operating conditions of a water utilization system (WUS). For this purpose, it is proposed to use the water balance as the basis for the investigation and distinguish mutually complementary and mutually exclusive branches among all the WUS participants. At present, the problem of optimal load distribution in the power system between HPP and thermal power plants (TPP) is solved on the basis of the equality of the differential incremental rate characteristics of fuel consumption at TPPs and water consumption at the HPP with the use of the Lagrangian multiplier method. In this case, the number of iterations can be five or more. The proposed approach is based, first of all, on the correct representation of the differential characteristics and calculation of a hydro resource price in order to provide the operational control of the HPP. Based on the comparison of water volume at the HPP and fuel amount at TPPs used for generation of 1 kW power, it is possible to determine a water price for the HPP. Using the example of the Novosibirsk WUS, it is expected to develop an estimation of economic effect from the implementation of the developed criteria and the proposed method of hydro resource price determination for the WUS and the HPP as a basic infrastructure industry.
{"title":"Model of Optimal Load Control for Electric Power Stations in a Hydrothermal Power System on the Basis of Maximization Profit Criteria","authors":"Yury A. Secretarev, T. Myateg, Tatyana E. Baldakova","doi":"10.1109/USSEC53120.2021.9655720","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655720","url":null,"abstract":"In this paper, a universal method has been developed, which is a combination of an optimization method and a method for assessing the marginal utility. Using this method, it is reasonable to solve the problem of controlling operating conditions of a water utilization system (WUS). For this purpose, it is proposed to use the water balance as the basis for the investigation and distinguish mutually complementary and mutually exclusive branches among all the WUS participants. At present, the problem of optimal load distribution in the power system between HPP and thermal power plants (TPP) is solved on the basis of the equality of the differential incremental rate characteristics of fuel consumption at TPPs and water consumption at the HPP with the use of the Lagrangian multiplier method. In this case, the number of iterations can be five or more. The proposed approach is based, first of all, on the correct representation of the differential characteristics and calculation of a hydro resource price in order to provide the operational control of the HPP. Based on the comparison of water volume at the HPP and fuel amount at TPPs used for generation of 1 kW power, it is possible to determine a water price for the HPP. Using the example of the Novosibirsk WUS, it is expected to develop an estimation of economic effect from the implementation of the developed criteria and the proposed method of hydro resource price determination for the WUS and the HPP as a basic infrastructure industry.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127907527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655737
Nasim Ahmed, Ziaur Rahman Khan
The design of the secure internet of things (IoT)-based single phase pure sine wave inverter using payload encryption of message queuing telemetry transport protocol is presented here. The inverter is developed by H-bridge architecture and sinusoidal pulse width modulation technology. The inverter has low harmonic contents and a simplistic structure than available conventional technologies. The output voltage and frequency of the inverter are 220V and 50Hz. The new IoT and cloud computing technology, by providing continuous monitoring, sharing data, and optimum control in a smart grid environment, would probably revolutionize the standard inverter system. Since this type of inverter is always connected to the internet, there are growing concerns and challenges of cybersecurity safety issues. The paper discusses how payload encryption could be used to potentially ensure connectivity and data protection of the inverter. To verify the final output, the inverter simulation is done in MATLAB/SIMULINK, and the proposed payload encryption is performed by Python programming.
{"title":"A Secure IoT enabled Pure Sine Wave Inverter using Payload Encryption Of MQTT Protocol","authors":"Nasim Ahmed, Ziaur Rahman Khan","doi":"10.1109/USSEC53120.2021.9655737","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655737","url":null,"abstract":"The design of the secure internet of things (IoT)-based single phase pure sine wave inverter using payload encryption of message queuing telemetry transport protocol is presented here. The inverter is developed by H-bridge architecture and sinusoidal pulse width modulation technology. The inverter has low harmonic contents and a simplistic structure than available conventional technologies. The output voltage and frequency of the inverter are 220V and 50Hz. The new IoT and cloud computing technology, by providing continuous monitoring, sharing data, and optimum control in a smart grid environment, would probably revolutionize the standard inverter system. Since this type of inverter is always connected to the internet, there are growing concerns and challenges of cybersecurity safety issues. The paper discusses how payload encryption could be used to potentially ensure connectivity and data protection of the inverter. To verify the final output, the inverter simulation is done in MATLAB/SIMULINK, and the proposed payload encryption is performed by Python programming.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116053652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655735
Lukas Böhning, Mathias Herget, U. Schwalbe
Battery storage systems are frequently used in the stationary sector in the areas of self-consumption optimization of renewable generation plants, reducing peak loads, uninterruptible power supply, frequency control reserve, and in several other areas. Separately, the applications can be used for the economic operation of an energy storage system. With the intention to increase the economic revenues opportunities must be found to combine the application possibilities. In this paper a method for the analysis of energy storage algorithms by analyzing the power and capacity profiles is presented. The goal is to find out time windows where the use of different energy storage algorithms is possible. By analyzing the power and storage level curves, this utilization can also analyze whether parallel utilization is possible. This utilization analysis can be used to develop a predictive control algorithm that can use the forecast-based utilization analysis to decide which deployment options can be used most economically. The development of such an algorithm is the next step and will be presented in a later paper. The elaboration relates to the purely theoretical analysis of the load profiles. The development of an energy management system with this functionality will be presented in another paper. The results show that the utilization and the economic efficiency can be significantly increased by combining the application possibilities in this theoretical consideration. Consequently, the presented approach results in some advantages and disadvantages which will be discussed in detail in the conclusion.
{"title":"Investigation of Energy Storage Systems - Improvement of Utilization by Use Case Combination","authors":"Lukas Böhning, Mathias Herget, U. Schwalbe","doi":"10.1109/USSEC53120.2021.9655735","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655735","url":null,"abstract":"Battery storage systems are frequently used in the stationary sector in the areas of self-consumption optimization of renewable generation plants, reducing peak loads, uninterruptible power supply, frequency control reserve, and in several other areas. Separately, the applications can be used for the economic operation of an energy storage system. With the intention to increase the economic revenues opportunities must be found to combine the application possibilities. In this paper a method for the analysis of energy storage algorithms by analyzing the power and capacity profiles is presented. The goal is to find out time windows where the use of different energy storage algorithms is possible. By analyzing the power and storage level curves, this utilization can also analyze whether parallel utilization is possible. This utilization analysis can be used to develop a predictive control algorithm that can use the forecast-based utilization analysis to decide which deployment options can be used most economically. The development of such an algorithm is the next step and will be presented in a later paper. The elaboration relates to the purely theoretical analysis of the load profiles. The development of an energy management system with this functionality will be presented in another paper. The results show that the utilization and the economic efficiency can be significantly increased by combining the application possibilities in this theoretical consideration. Consequently, the presented approach results in some advantages and disadvantages which will be discussed in detail in the conclusion.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114172409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655728
P. Ilyushin, A. Kulikov, K. Suslov, A. Sevostyanov
An active customer-side (electric) power system is one that features integrated distributed generation (DG) facilities and energy storage systems (ESS). This improves customers' energy security as they can reduce the intake of electricity from the power system within certain timeframes. Besides, this approach enables more efficient use of primary and secondary energy resources for better energy efficiency and conservation. An active power system (APS) may have a great variety of diverse operating conditions that effectively prevent any visual recognition and manual control of its operating modes; besides, they require automatic real-time process control. Such circumstances call for adjustments in the requirements to the structure of communication networks, metering and instrumentation systems, power system protections, monitoring and control systems. The algorithms that are used by phasor measurement units (PMU) and PMU-based smart devices (SD) to estimate current and voltage parameters are of fundamental importance. Active power systems are more demanding with respect to electric power quality and measurement accuracy. Calculations herein show the need to lower the allowable margin of voltage and current error in PMUs, as the existing requirements are not consistent with the functioning of active power systems. The paper analyzes how signals are processed digitally when there are short frequency fluctuations in a wide dynamic range, and how distortion factors affect the sine wave of currents and voltages.
{"title":"Adjusting the Requirements to the Allowable Current and Voltage Error in Active Power Systems","authors":"P. Ilyushin, A. Kulikov, K. Suslov, A. Sevostyanov","doi":"10.1109/USSEC53120.2021.9655728","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655728","url":null,"abstract":"An active customer-side (electric) power system is one that features integrated distributed generation (DG) facilities and energy storage systems (ESS). This improves customers' energy security as they can reduce the intake of electricity from the power system within certain timeframes. Besides, this approach enables more efficient use of primary and secondary energy resources for better energy efficiency and conservation. An active power system (APS) may have a great variety of diverse operating conditions that effectively prevent any visual recognition and manual control of its operating modes; besides, they require automatic real-time process control. Such circumstances call for adjustments in the requirements to the structure of communication networks, metering and instrumentation systems, power system protections, monitoring and control systems. The algorithms that are used by phasor measurement units (PMU) and PMU-based smart devices (SD) to estimate current and voltage parameters are of fundamental importance. Active power systems are more demanding with respect to electric power quality and measurement accuracy. Calculations herein show the need to lower the allowable margin of voltage and current error in PMUs, as the existing requirements are not consistent with the functioning of active power systems. The paper analyzes how signals are processed digitally when there are short frequency fluctuations in a wide dynamic range, and how distortion factors affect the sine wave of currents and voltages.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655743
Aleksandr P. Dolgov, A. Arestova
The paper deals with the problem of maintaining the transient stability of the electric power system under severe emergency disturbances. The relevance of the study is due to the continuity of the processes of production, transmission, and consumption of electric power. The lack of energy storage technologies in the volumes necessary for the consumer causes increased requirements for power system reliability, transient stability, and survivability. The paper provides an overview of the existing and modern developed methods of increasing transient stability. An improved method of electric braking for synchronous generators is proposed, which provides transient stability under severe disturbances of any severity and duration. The method ensures successful resynchronization under generator loads up to the steady-state stability limit for the post-emergency conditions. A description of the method of electrical braking is presented, which requires precision synchronization with control of voltages, angles, and slip between synchronizing zones. The results of the developed method implementation for a two-machine system are illustrated, transient oscillograms are shown. Mathematical modeling was performed using the Mustang software package. The results of mathematical modeling prove the effectiveness of the proposed method. The developed method of electric braking makes it possible to refuse additional network construction to meet the requirements for transient stability.
{"title":"An Improved Method of Electric Braking for Power System Transient Stability in Severe Emergency Disturbances","authors":"Aleksandr P. Dolgov, A. Arestova","doi":"10.1109/USSEC53120.2021.9655743","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655743","url":null,"abstract":"The paper deals with the problem of maintaining the transient stability of the electric power system under severe emergency disturbances. The relevance of the study is due to the continuity of the processes of production, transmission, and consumption of electric power. The lack of energy storage technologies in the volumes necessary for the consumer causes increased requirements for power system reliability, transient stability, and survivability. The paper provides an overview of the existing and modern developed methods of increasing transient stability. An improved method of electric braking for synchronous generators is proposed, which provides transient stability under severe disturbances of any severity and duration. The method ensures successful resynchronization under generator loads up to the steady-state stability limit for the post-emergency conditions. A description of the method of electrical braking is presented, which requires precision synchronization with control of voltages, angles, and slip between synchronizing zones. The results of the developed method implementation for a two-machine system are illustrated, transient oscillograms are shown. Mathematical modeling was performed using the Mustang software package. The results of mathematical modeling prove the effectiveness of the proposed method. The developed method of electric braking makes it possible to refuse additional network construction to meet the requirements for transient stability.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131184853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-13DOI: 10.1109/USSEC53120.2021.9655739
V. Manusov, D. Ivanov, A. Semenov
The paper presents the results of a study of thermal and electromagnetic transients in an electric power system with a high-temperature superconducting transformer. A physical prototype of a three-phase high-temperature superconducting transformer with YBCO windings is developed to study the current limiting process. Liquid nitrogen is used as a dielectric medium and a coolant. A mathematical model of a three-phase single-machine system with a high-temperature superconducting transformer is developed. It allows to analytically describe the electromagnetic transient process in a three-phase grid with a superconducting transformer, to estimate the electrodynamic and thermal effects of the short-circuit current with varying load and short-circuit types. The positive effect of superconducting transformers on the operating modes of the electric power system is shown. The analysis of the current limiting function of a high-temperature superconducting transformer is carried out; its efficiency and safety for the electric power system are proved. The research of the influence of the load type and the short-circuit mode on the current limitation level is carried out. It is demonstrated that during the short-circuit current limitation, significant heat flows occur on the windings, which should not exceed the critical value above which the superconductor could not return to the superconducting state by itself.
{"title":"Analysis of Transient Processes in a Three-Phase Single-Machine System with a High- Temperature Superconducting Transformer","authors":"V. Manusov, D. Ivanov, A. Semenov","doi":"10.1109/USSEC53120.2021.9655739","DOIUrl":"https://doi.org/10.1109/USSEC53120.2021.9655739","url":null,"abstract":"The paper presents the results of a study of thermal and electromagnetic transients in an electric power system with a high-temperature superconducting transformer. A physical prototype of a three-phase high-temperature superconducting transformer with YBCO windings is developed to study the current limiting process. Liquid nitrogen is used as a dielectric medium and a coolant. A mathematical model of a three-phase single-machine system with a high-temperature superconducting transformer is developed. It allows to analytically describe the electromagnetic transient process in a three-phase grid with a superconducting transformer, to estimate the electrodynamic and thermal effects of the short-circuit current with varying load and short-circuit types. The positive effect of superconducting transformers on the operating modes of the electric power system is shown. The analysis of the current limiting function of a high-temperature superconducting transformer is carried out; its efficiency and safety for the electric power system are proved. The research of the influence of the load type and the short-circuit mode on the current limitation level is carried out. It is demonstrated that during the short-circuit current limitation, significant heat flows occur on the windings, which should not exceed the critical value above which the superconductor could not return to the superconducting state by itself.","PeriodicalId":260032,"journal":{"name":"2021 Ural-Siberian Smart Energy Conference (USSEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130076311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：