2020 Ural Smart Energy Conference (USEC)最新文献_第2页

Analysis of Russian Experience in Utilities’ Plant Assets Management 俄罗斯公用事业企业资产管理经验分析

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281238

A. Khalyasmaa, E. Zinovieva

{"title":"Analysis of Russian Experience in Utilities’ Plant Assets Management","authors":"A. Khalyasmaa, E. Zinovieva","doi":"10.1109/USEC50097.2020.9281238","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281238","url":null,"abstract":"The basis for the automation of utilities’ industrial business processes is the subsystem of grid equipment record, within which the tasks of accounting for the grid hierarchy and installed equipment, keeping the transfer of each facility, storing an unlimited number of equipment characteristics with the possibility of further analysis are solved. The paper presents an analysis of existing methods of organizing business processes and processes for managing utilities’ plant assets in the Russian Federation. The paper presents the experience of organizing Business Process Management systems, based on various notations of Integrated Definition for Function Modeling, Business Progress Modeling Notation, Architecture of Integrated Information Systems, and also describes modern approaches to their engineering and implementation at energy enterprises. Within this study, the national experience of introducing Enterprise Resource Planning systems, their basic structure and operation principles are also analyzed as in the case of a distribution grid company. The possibility of using Rapid Deployment Solution-EPAM systems for the presented tasks is also assessed.","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":"130691826","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}

引用次数: 0

Estimating the Autonomy Range of the Battery-Powered Small Unmanned Surface Vehicle 电池驱动的小型无人水面车辆自主范围的估计

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281211

V. Rybin, Georgii Y. Kolev, T. Karimov, V. Ostrovskii, O. Druzhina, Maria S. Sigaeva

引用次数: 2

Simulation of an Applied Microgrid Control System Based on a Digital Platform 基于数字平台的应用微电网控制系统仿真

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281226

N. Shubin, Kirill A. Krasilnikov, M. Krasilnikov, F. Nepsha

{"title":"Simulation of an Applied Microgrid Control System Based on a Digital Platform","authors":"N. Shubin, Kirill A. Krasilnikov, M. Krasilnikov, F. Nepsha","doi":"10.1109/USEC50097.2020.9281226","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281226","url":null,"abstract":"As a result of the technological development of renewable energy systems, its adoption into microgrids become inevitable. However, in isolated and remote territories, the diesel generators are still the prevailing technology for the power supply. The use of combustion engines has a few significant drawbacks such as low energy efficiency and negative environmental footprint. Also, it slows down the development of remote areas. The integration of renewable generation in such grids requires the use of sophisticated control systems which creates an additional cost. In this regard, the platform solutions allow us to minimize investments and optimize the development process of applied control systems for microgrids of any configuration. One of such solutions is the A-Platform – the Russian programmable platform for the management of distributed energy systems, which is currently under development. To determine the requirements for the automated functions of the A-Platform, the paper identifies the needs of stakeholders, and with the considerations of their needs, the use cases are defined. In turn, the analysis of use cases allows us to formulate requirements for automated functions within the platform. To demonstrate the utility of the digital platform, a simulation model was developed with the use of Anylogic software and illustrated the effectiveness of one of the A-platform optimization module.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"10 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":"114259150","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}

引用次数: 2

Modeling the Reliability Characteristics of Contact Devices of Low-Voltage Grid 低压电网接触装置可靠性特性建模

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281197

E. Gracheva, O. Naumov, Aleksei V. Beloglazov, A. Gorlov, Maxim A. Mikhaylov

{"title":"Modeling the Reliability Characteristics of Contact Devices of Low-Voltage Grid","authors":"E. Gracheva, O. Naumov, Aleksei V. Beloglazov, A. Gorlov, Maxim A. Mikhaylov","doi":"10.1109/USEC50097.2020.9281197","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281197","url":null,"abstract":"The paper presents a models elaboration and development algorithm for determining the distribution laws of the low-voltage contact devices’ reliability index using the example of magnetic starters based on random samples during the device failures observations in operation. The modeling and calculation of the sample value indicators of the accumulated failure density in accordance with the operating time is presented, taking into account the randomly (using a random number generator) selected contact devices. As a calculations result, functional dependences of the low-voltage contact devices’ performance parameters on the number of on-off cycles for Gaussian, lognormal and exponential distribution laws were obtained, as well as for the Weibull distribution with the selective correlation rate determination for each of the distribution laws. It was found that the highest correlation rate equal to 0.9107, which characterizes the Gaussian law, is the reliability index of the applied distribution law. As a result of the research, the Gaussian law accuracy for low-voltage contact devices was confirmed as in the case of magnetic starters for an operation period of 10-12 years. A simulation model is presented that allows calculating the low-voltage electrical contact devices’ fixed failure rates from random samples.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"22 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":"125268177","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}

引用次数: 0

Application of Random Functions to Assess the Influence of Quantization Error on the Signal RMS 应用随机函数评估量化误差对信号均方根的影响

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281188

A. Serov, D. Chumachenko, A. Shatokhin

{"title":"Application of Random Functions to Assess the Influence of Quantization Error on the Signal RMS","authors":"A. Serov, D. Chumachenko, A. Shatokhin","doi":"10.1109/USEC50097.2020.9281188","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281188","url":null,"abstract":"In modern digital measurement devices to obtain samples in the signal measurement channel, analog-to-digital converters (ADCs) are applied. Real ADCs have finite resolution, which results in time domain to the quantization error effect (so called quantization noise). Regardless of the applied measurement method, the quantization noise results to measurement error of RMS, active power, complex spectrum and other. A research of influence on the ADC parameters (resolution, sampling frequency, input range, ADC architecture type) to the RMS measurement error is carried out. It is established that the most important ADC parameters are resolution and sampling frequency. The proposed RMS error estimating method is based on the application of a parabolic interpolation polynomial function (by the sampling frequency as a parameter). The interpolation polynomial coefficients are determined as a result of simulation modeling which is performed in Matlab 7. Random functions were applied to simulate the quantization noise. Analytical expressions are obtained that allows to estimate the RMS measurement error from the signal parameters and ADC parameters by using the proposed error estimation method. The simulation results show that the proposed method of the error calculation allows at least to reduce the RMS error estimate (in comparison with “worst case” method) at least to 30 %. The proposed approach for the error estimation can be used for sinusoidal signals or polyharmonic signals the shape of which is close to sinusoidal. The application of the proposed approach can be extended to the problem of active power and complex spectrum measurement.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"22 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":"131870760","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}

引用次数: 1

Accuracy of Voltage Unbalance Source Assessment in Three-Phase Three-Wire Electrical Networks 三相三线电网电压不平衡源评估的准确性

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281165

V. Bolgov, D. Kalyuzhniy

引用次数: 1

Energy Consumption Conditions Optimization of the Autonomous System Based on Carbon-Free Energy 基于无碳能源的自主系统能耗条件优化

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281208

V. Manusov, M. Nazarov

{"title":"Energy Consumption Conditions Optimization of the Autonomous System Based on Carbon-Free Energy","authors":"V. Manusov, M. Nazarov","doi":"10.1109/USEC50097.2020.9281208","DOIUrl":"https://doi.org/10.1109/USEC50097.2020.9281208","url":null,"abstract":"The paper presents the optimization of energy consumption modes by generating consumers in an autonomous electric power system using alternative energy sources. A method and an algorithm for optimizing energy consumption is proposed that minimizes the financial costs of several electrical consumers having choice of power supply from renewable (water resources) and alternative (wind and solar) energy sources, including an energy storage device. A hallmark of the model is the energy storage device accounting, due to some unpredictability of alternative energy sources generation and a disconnect with the central power system. The optimization is based on a linear programming method with variable constraints on a daily interval. The study object is the autonomous power system of the Pamirs, where computational experiments were carried out and the conditions for obtaining optimal results at different capacities of the energy storage devices were compared. The study showed that there is no need for optimization during the summer period, since the entire electrical load can be covered by the region’s hydroelectric power plants. The research results and computational experiments are given in tables and figures. Their systematic analysis shows that each generating consumer can independently minimize their electric power costs and maximize interchange gain.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"8 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":"129706964","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}

引用次数: 1

USEC 2020 List Reviewer Page USEC 2020列表审查页面

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/usec50097.2020.9281235

引用次数: 0

Hydro Unit Active Power Controller Minimizing Water Hammer Effect 水电机组有功功率控制器最大限度地减少水锤效应

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281252

Y. Kazantsev, G. Glazyrin, Sergey Shayuk, D. Tanfilyeva, Oleg Tanfilyev, V. Fyodorova

引用次数: 1

Assessment of Thermal Storage Technologies in Energy Sector 能源领域蓄热技术评价

2020 Ural Smart Energy Conference (USEC) Pub Date : 2020-11-13 DOI: 10.1109/USEC50097.2020.9281236

V. Zinurov, M. Nikandrova, V. Kharkov

引用次数: 2