A. Tutueva, T. Karimov, V. Andreev, Alexander V. Zubarev, Ekaterina Rodionova, D. Butusov
{"title":"Synchronization of Chaotic Systems via Adaptive Control of Symmetry Coefficient in Semi-Implicit Models","authors":"A. Tutueva, T. Karimov, V. Andreev, Alexander V. Zubarev, Ekaterina Rodionova, D. Butusov","doi":"10.1109/USEC50097.2020.9281181","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281181","url":null,"abstract":"In this paper, we introduce the approach for the synchronization of semi-implicit finite-difference schemes using the adaptive symmetry coefficient control. The proposed method is based on the known parametric adaptive control method that is often used in communication schemes for covert data transmission. In such systems, the desired signal is encoded by switching between two values of the nonlinearity parameter of the chaotic system. The vulnerability of this scheme is that the switching can be detected since the properties of the generated signals can differ significantly depending on various values of nonlinearity parameters. In this study, we propose to synchronize semi-implicit schemes using the symmetry coefficient instead of parameters. Thus, synchronized models will generate signals with similar properties and the switching can be less detectable in comparison with the conventional approach. The developed adaptive synchronization technique can be useful in systems for secure data transmitting including secure communication for the industrial Internet of Things.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129174377","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}
{"title":"Fundamental Principles of Smart Protection Device","authors":"V. Antonov, V. Naumov, A. Soldatov, D. Stepanova","doi":"10.1109/USEC50097.2020.9281227","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281227","url":null,"abstract":"The report outlines the general principles of building relay protection devices with their inherently developed intelligence created by deep learning neural networks. It is shown that the functioning of such a smart device in the pace of the emergency process development in the protected electrical system is not constrained by the complexity of solving the problem of training a neural network. The entire computationally complexity procedure for selecting supporting precedents for deep learning of a neural network, developing and playing out a full set of simulation modeling scenarios, and confirming the effectiveness of device training is performed, as before, at the design stage. In contrast to the characteristics of classical relays, which use a limited number of geometric figures (circles, ellipses, polygons, etc.) on a plane to form the tripping characteristics, Smart Protection Devices present their characteristics in the multidimensional space of tracked emergency mode parameters. An important feature of such devices is the absence of a branched rigid logic computing scheme, and its intelligence has access to characteristics of any complexity because the classification of the current mode of the protected electrical system and the decision making by a new generation relay protection device is based on discriminant functions with developed nonlinear cores. It is demonstrated that, despite the use of discriminant functions that are complex in terms of design principles, the functioning of Smart Protection Devices does not require an avantgarde computing environment.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126482885","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}
{"title":"Analysis of SF6 Circuit Breakers Failures Related to Missing Current Zero. Part II.","authors":"D. Chernoskutov, V. Popovtsev, S. Sarapulov","doi":"10.1109/USEC50097.2020.9281229","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281229","url":null,"abstract":"This paper describes aspects of switching capability of 500-750 kV SF6 circuit breakers during breaking of aperiodic current (DC component) resulting in such phenomena as missing current zero. It is described two cases of circuit breaker making operation namely making in maximal voltage and making near zero voltage. The analysis of SF6 live tank circuit breakers 525-750 kV failures in 1,150 kV “Altai” substation, 750 kV “Novobrianskaya” substation and 500 kV “Agadyr” substation based on current and voltage oscillograms is given. The review of 126-750 kV puffer and auto-puffer SF6 circuit breakers failures with corresponding time to first current zero and resulting effect is presented. The general countermeasures associated with design stage of circuit breaker and its relay protection improvement as well as the other effective methods against prevention of circuit breakers failures related to missing current zero are given. This paper is the second part of the present research.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123690422","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}
{"title":"Modelling and Simulation of Scraper Face Conveyor Electric Drive","authors":"V. Voronin, F. Nepsha","doi":"10.1109/USEC50097.2020.9281202","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281202","url":null,"abstract":"The widespread use of renewable energy sources has reduced the demand for power coal and the profitability of coal mines. In this regard, the task of increasing the energy efficiency of coal mine electrical complex becomes particularly urgent. To fulfill this task, it is necessary to perform computer modeling of the extraction district of a coal mine, taking into account the features of the operating modes of mining equipment. For this purpose, the article considers the problem of simulation of the electric drive of the scraper conveyor to assess the energy efficiency of the power supply system in the context of the introduction of modern devices for dynamic power flow control. The block diagram of the simulation model of the scraper conveyor electric drive is presented. To account for fluctuations in the level of consumption of active and reactive power, a discrete element model of the scraper conveyor was used. As a result, in the MATLAB Simulink environment, a simulation model of the electric drive of the scraper conveyor was developed, suitable for assessing the energy efficiency of the electrical complex of extraction districts as well as for assessing the feasibility of using modern devices for dynamic power flow control.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129218571","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}
{"title":"Improving the Operating Cycle of a Diesel Engine on Biofuel Based on Numerical Modeling","authors":"L. Plotnikov, L. Osipov","doi":"10.1109/USEC50097.2020.9281254","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281254","url":null,"abstract":"The issues of increasing the efficiency and improving the environmental friendliness of heat engines are urgent problems of mankind. The article deals with the use of biofuel as a fuel for reciprocating internal combustion engines. A brief overview of current research on this topic is presented in the article. This paper presents the results of tuning the working cycle of a turbocharged diesel engine (cylinder diameter 123 mm, piston stroke 156 mm) for operation on bio-diesel fuel (a mixture of diesel fuel and soy methyl ester in a ratio of 80/20). This scientific study is based on mathematical modelling of the working cycle of piston machines. Mathematical modelling of the working cycle was carried out in the Diesel-RK software. A brief description of the physicochemical properties of biofuels is given in the article. A brief analysis of the mathematical model for the engine under study is also presented in the article. The mathematical model was tuned according to more than 30 parameters typical for diesel engines. Based on the results of numerical simulation, a new design of the nozzle atomizer is proposed, the optimal fuel injection advance angle and the fuel supply law for the main modes of diesel engine operation are selected. The proposed measures have led to an increase in effective power (up to 5%), a decrease in specific fuel consumption (up to 6%) and an improvement in environmental friendliness.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029344","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}
{"title":"Demand Response Programs Influence On A Load Pattern","authors":"Ghoziev Bakhtiyor, V. Samoylenko, A. Pazderin","doi":"10.1109/USEC50097.2020.9281259","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281259","url":null,"abstract":"Demand response is one of the optimization methods for load pattern in the electric power systems. Utilities offer pricing models of the Demand response to incentivize consumers to shift or decrease the load. As for tariff planning, consumption variation is the main issue that requires careful quantitative analysis. There are several approaches to attract consumers for load control. For these reasons it is necessary to study pricing models of the Demand response. Also, benefits and disadvantages of the models are to be presented for consumers to make comfortable electric energy consumption to their daily consumption schedule. Theoretical analysis and numerical modelling methods for calculated case of Demand response programs in industrial sector were used. Quantitative analysis among the programs of demand response was carried out to present demand elasticity. Also, advantages and disadvantages of the programs and their application ways as a tool for shifting and decreasing load at energy market were presented. Several programs of demand response to motivate consumers for controlling the load are offered. Differential tariffs in several price models were considered. Practical application of different demand response programs effects to price-based tariffs.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"35 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123281241","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}
{"title":"Real-time Ethernet POWERLINK Communication for ROS. Part II. Hardware and Software","authors":"Alexey Romanov, Evgeniya A. Slepynina","doi":"10.1109/USEC50097.2020.9281173","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281173","url":null,"abstract":"This research is focused on the integration of Ethernet POWERLINK (EPL) fieldbus with the Robotic Operating System (ROS) for real-time control tasks. In the first part of the research latencies and jitter introduced by the Linux operating system, ROS and the openPOWERLINK stack were analyzed and general concept of the novel EPL and ROS integration solution was introduced. In this part, we propose novel FPGA-based hardware for Ethernet POWERLINK resynchronization (ReSync board), which reduces jitter from the openPOWERLINK stack working in user-space and achieve low level of Start of Cycle frame jitter. Additionally corresponding software support for ReSync board and Application Programming Interface (API) is discussed. Finnally the results of experimental studies show, that proposed solutions allows achieve jitter below 15 microseconds in high-speed applications with a cycle of 10 ms or less on a low-performance hardware. Thus, proposed hardware solution is suitable for the most tasks in robot’s control systems, including even motor control for the applications, which do not require very high dynamics.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225433","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}
{"title":"Sectoral Formation Features of The Utilities’ Plant Assets Management Systems","authors":"A. Khalyasmaa, E. Zinovieva","doi":"10.1109/USEC50097.2020.9281278","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281278","url":null,"abstract":"This paper analyzes the industry-specific features of the formation of plant assets management systems for national and foreign electric power enterprises. In particular, the impact of the production process continuity, the technological and economic synergies between the industry production units, the territorial disunity in the electric power production and sale, as well as the synergies between electric power production and consumption, have been also analyzed. Besides the paper assessed and presented the experience of implementing assets management systems at national and foreign enterprises from various areas of the fuel and energy complex as well as the main software products on the Russian and foreign markets, their impact on both business processes in energy companies and maintenance and repair arrangements for electric power equipment, have been considered. The main tasks in the plant assets management systems implementation are to find a balance between the power system reliability and the costs for its maintenance and development.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121186979","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}