Pub Date : 2017-05-01DOI: 10.1109/EPE.2017.7967357
Grzegorz Dudek, J. Szkutnik
This work is focused on diversity analysis of daily load curves and outlier curve detection in distribution networks. For diversity evaluation unified load curves are defined and the Euclidean distance between them and the average curve is calculated. Outlier detection is based on the distance between a load curve and an average curve representing curves of the same day of the week as the analyzed curve and from the same period of time. For detection of outliers in shape normalized daily curves are defined and the distance is measured between them and the average normalized curve. The analyzes are illustrated using real-world data from more than hundred substations.
{"title":"Daily load curves in distribution networks — Analysis of diversity and outlier detection","authors":"Grzegorz Dudek, J. Szkutnik","doi":"10.1109/EPE.2017.7967357","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967357","url":null,"abstract":"This work is focused on diversity analysis of daily load curves and outlier curve detection in distribution networks. For diversity evaluation unified load curves are defined and the Euclidean distance between them and the average curve is calculated. Outlier detection is based on the distance between a load curve and an average curve representing curves of the same day of the week as the analyzed curve and from the same period of time. For detection of outliers in shape normalized daily curves are defined and the distance is measured between them and the average normalized curve. The analyzes are illustrated using real-world data from more than hundred substations.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114721870","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967255
Grzegorz Dudek, Paweł Pełka
This work is focused on monthly electricity demand prediction, which is necessary for the maintenance planning in power systems as well as for negotiation forward contracts. In the proposed approach patterns of the load time series are defined, which unify input and output data and filter out the trend. Relationships between inputs and outputs simplified due to patterns are modeled using nonparametric regression: Nadaraya-Watson estimator. In the experimental part of the work the model is examined using real-world data. The results are encouraging and confirm the high accuracy of the model and its competitiveness compared to other forecasting models.
{"title":"Medium-term electric energy demand forecasting using Nadaraya-Watson estimator","authors":"Grzegorz Dudek, Paweł Pełka","doi":"10.1109/EPE.2017.7967255","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967255","url":null,"abstract":"This work is focused on monthly electricity demand prediction, which is necessary for the maintenance planning in power systems as well as for negotiation forward contracts. In the proposed approach patterns of the load time series are defined, which unify input and output data and filter out the trend. Relationships between inputs and outputs simplified due to patterns are modeled using nonparametric regression: Nadaraya-Watson estimator. In the experimental part of the work the model is examined using real-world data. The results are encouraging and confirm the high accuracy of the model and its competitiveness compared to other forecasting models.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125322493","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967301
J. Varmuža, K. Katovský, Ondřej Šťastný, M. Zeman
Most of the electricity produced in nuclear power plants comes from pressurized water nuclear reactors. Currently, the main fuel of pressurized water nuclear reactors is enriched uranium. The thermal energy is produced by fission of uranium 235 using slow (thermal) neutrons. Generation IV reactors are already contemplate obtaining thermal energy from the fission of uranium 238 using fast neutron. Neutrons interact simultaneously with materials present in a nuclear reactor. Probability and mode of interaction depend on the neutron energy. Therefore, the paper focuses on the measurement of neutron spectra and neutron field distribution using the reaction rate a gas filled detector in experimental stand SVICKA.
{"title":"The spectrum of neutrons and its importance for nuclear power engineering","authors":"J. Varmuža, K. Katovský, Ondřej Šťastný, M. Zeman","doi":"10.1109/EPE.2017.7967301","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967301","url":null,"abstract":"Most of the electricity produced in nuclear power plants comes from pressurized water nuclear reactors. Currently, the main fuel of pressurized water nuclear reactors is enriched uranium. The thermal energy is produced by fission of uranium 235 using slow (thermal) neutrons. Generation IV reactors are already contemplate obtaining thermal energy from the fission of uranium 238 using fast neutron. Neutrons interact simultaneously with materials present in a nuclear reactor. Probability and mode of interaction depend on the neutron energy. Therefore, the paper focuses on the measurement of neutron spectra and neutron field distribution using the reaction rate a gas filled detector in experimental stand SVICKA.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126577275","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967244
Jaroslav Petráš, J. Dzmura, Petr Körmöndi
This paper describes partial discharge signal analysis and transform methods used for this analysis. It focuses especially on Fourier and Wavelet transform and points out the suitability, advantages and differences between these transforms.
{"title":"Transform methods used for partial discharge signal analysis","authors":"Jaroslav Petráš, J. Dzmura, Petr Körmöndi","doi":"10.1109/EPE.2017.7967244","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967244","url":null,"abstract":"This paper describes partial discharge signal analysis and transform methods used for this analysis. It focuses especially on Fourier and Wavelet transform and points out the suitability, advantages and differences between these transforms.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752123","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967231
S. Kokin, V. Manusov, P. Matrenin
The reduction of active power losses in transmission lines of modern power supply systems by solving the problem of reactive power compensation is an important task. The efficiency of the compensation depends on the choice of powers and placement of compensation units in nodes of a network. The task considered is the multi-objective and multi-factor optimization problem, and the time required to solve it increases exponentially with the increase of the dimension of this task. Under these circumstances, it is advisable to use evolutionary and swarm optimization methods. In this paper, two swarm intelligence algorithms have been applied: Artificial Bees Colony optimization and Particle Swarm optimization. Particular attention has been devoted to applying the algorithms in practice, in this case, to solving the problem of the optimal placement of reactive power sources. It has been shown that using a specially developed interface between an optimization algorithm and a model of the optimization problem allows researchers to quickly apply stochastic optimization algorithms. In addition, the influence of the heuristic algorithms parameters of Particle Swarm and Bee Swarm on their effectiveness has been explored. It has been shown that the reactive compensation can reduce the active power losses in the power supply system up to 20%, and the payback period of the installation of the necessary equipment is 2 to 4 years.
{"title":"Optimal placement of reactive power sources in power supply systems, using particle swarm optimization and artificial Bees colony optimization","authors":"S. Kokin, V. Manusov, P. Matrenin","doi":"10.1109/EPE.2017.7967231","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967231","url":null,"abstract":"The reduction of active power losses in transmission lines of modern power supply systems by solving the problem of reactive power compensation is an important task. The efficiency of the compensation depends on the choice of powers and placement of compensation units in nodes of a network. The task considered is the multi-objective and multi-factor optimization problem, and the time required to solve it increases exponentially with the increase of the dimension of this task. Under these circumstances, it is advisable to use evolutionary and swarm optimization methods. In this paper, two swarm intelligence algorithms have been applied: Artificial Bees Colony optimization and Particle Swarm optimization. Particular attention has been devoted to applying the algorithms in practice, in this case, to solving the problem of the optimal placement of reactive power sources. It has been shown that using a specially developed interface between an optimization algorithm and a model of the optimization problem allows researchers to quickly apply stochastic optimization algorithms. In addition, the influence of the heuristic algorithms parameters of Particle Swarm and Bee Swarm on their effectiveness has been explored. It has been shown that the reactive compensation can reduce the active power losses in the power supply system up to 20%, and the payback period of the installation of the necessary equipment is 2 to 4 years.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131799737","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967321
Vladimir Vajnar, Z. Vostracký, B. Rawn
The paper is focused on the possibilities of Mat-power toolkit within the phenomenon of delayed current zero occurrence. The analysis of delayed current zero and its effects are introduced along with the most important parameters playing the key role in the topic. Paper contains the Z-bus matrix evaluation within the Matpower toolkit and joints it with the DC components' generation and the danger of delayed current zero occurrence. In the conclusion, the analysis of exemplary network is shown and possibility of delayed current zero occurrence is evaluated.
{"title":"Assessment of the delayed current zeros occurrence using the evaluation of the Z-bus matrix in Matpower toolkit","authors":"Vladimir Vajnar, Z. Vostracký, B. Rawn","doi":"10.1109/EPE.2017.7967321","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967321","url":null,"abstract":"The paper is focused on the possibilities of Mat-power toolkit within the phenomenon of delayed current zero occurrence. The analysis of delayed current zero and its effects are introduced along with the most important parameters playing the key role in the topic. Paper contains the Z-bus matrix evaluation within the Matpower toolkit and joints it with the DC components' generation and the danger of delayed current zero occurrence. In the conclusion, the analysis of exemplary network is shown and possibility of delayed current zero occurrence is evaluated.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015760","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967300
M. Šafář, H. Raclavská, K. Kryštofová, K. Raclavský, M. Kucbel, B. Švédová, D. Matýsek
Waste engineering wood in the form of chipboard and plywood is a potential source of renewable energy in boilers for biomass combustion. The conditions causing the silicate melt slagging during combustion were studied by proximate analysis, mineralogical analysis using X-ray diffraction, scanning electron microscope with energy dispersive analyser and thermogravimetry. Slags are formed by refractory mineralogical phases of Ca, Si, Ti and Al.
{"title":"Problems with utilisation of engineering wood for energy purposes","authors":"M. Šafář, H. Raclavská, K. Kryštofová, K. Raclavský, M. Kucbel, B. Švédová, D. Matýsek","doi":"10.1109/EPE.2017.7967300","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967300","url":null,"abstract":"Waste engineering wood in the form of chipboard and plywood is a potential source of renewable energy in boilers for biomass combustion. The conditions causing the silicate melt slagging during combustion were studied by proximate analysis, mineralogical analysis using X-ray diffraction, scanning electron microscope with energy dispersive analyser and thermogravimetry. Slags are formed by refractory mineralogical phases of Ca, Si, Ti and Al.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128394092","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967291
R. Hrbác, T. Hanusek, T. Novák, V. Kolář
This paper deals with the operating of so called low-cost lighting systems fitted with LED light sources. The reason for drawing up the paper was a notification of qualitative changes in luminous flux of implemented lighting systems. It is currently possible to produce relatively cheap LED luminaires fitted with available white LED. Since the low-priced LED go hand in hand with their qualities, these cheap light sources might affect negatively the overall perception of the illuminated space. Therefore it is necessary to explore these light sources in details. The paper shows the design and development of an inexpensive luminaire so as to achieve not only the best possible light-technical parameters, but also its life-time period.
{"title":"The design and the development of a low-cost luminaire in order to achieve the best light-technology parameters (Ra ≫ 80) and a life-time period","authors":"R. Hrbác, T. Hanusek, T. Novák, V. Kolář","doi":"10.1109/EPE.2017.7967291","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967291","url":null,"abstract":"This paper deals with the operating of so called low-cost lighting systems fitted with LED light sources. The reason for drawing up the paper was a notification of qualitative changes in luminous flux of implemented lighting systems. It is currently possible to produce relatively cheap LED luminaires fitted with available white LED. Since the low-priced LED go hand in hand with their qualities, these cheap light sources might affect negatively the overall perception of the illuminated space. Therefore it is necessary to explore these light sources in details. The paper shows the design and development of an inexpensive luminaire so as to achieve not only the best possible light-technical parameters, but also its life-time period.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130546285","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967345
Vanessa Kelly Alves Araujo, Suzel de Almeida, S. D. de Oliveira, W. Calixto, G. Furriel, Danns Pereira Barbosa
In view of the world's energy scenario, it is important to seek exploration of alternative resources of energy. In Brazil there is great availability of biomass that isn't exploited, as in the food industry. The soybean processing industry has production losses that increase the availability of waste and consequently emitting methane gas into the atmosphere. The use of such waste for clean energy generation is advantageous. The work discusses the evaluation of the biomethane generation through anaerobic digestion (AD) at the laboratory level using the AMPTS II equipment, using soybean processing waste as biomass. From the biogas estimative generation was estimation of theoretical energy generation, it was 19KJ/s.
{"title":"Anaerobic digestion using residue of soybean processing: Biogas production and it is potential to generate energy","authors":"Vanessa Kelly Alves Araujo, Suzel de Almeida, S. D. de Oliveira, W. Calixto, G. Furriel, Danns Pereira Barbosa","doi":"10.1109/EPE.2017.7967345","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967345","url":null,"abstract":"In view of the world's energy scenario, it is important to seek exploration of alternative resources of energy. In Brazil there is great availability of biomass that isn't exploited, as in the food industry. The soybean processing industry has production losses that increase the availability of waste and consequently emitting methane gas into the atmosphere. The use of such waste for clean energy generation is advantageous. The work discusses the evaluation of the biomethane generation through anaerobic digestion (AD) at the laboratory level using the AMPTS II equipment, using soybean processing waste as biomass. From the biogas estimative generation was estimation of theoretical energy generation, it was 19KJ/s.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122122004","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 : 2017-05-01DOI: 10.1109/EPE.2017.7967238
Qi-ming Sun, Libao Shi, Y. Ni, Dajun Si
This paper aims to identify the critical line on the basis of power system cascading failure search. The proposed critical line identification strategy considers the factors of power flow and topology. Accordingly the electrical betweenness and transmission power are employed during analysis, of which the corresponding theoretical basis is deduced in simple systems. Next follow-up step is to apply the artificial neural network (ANN) technique to classify corresponding degrees. Finally the case studies are performed on the IEEE 39-bus test system to illustrate the validity of the proposed strategies and methods.
{"title":"Critical line identification applicable to power system cascading failures","authors":"Qi-ming Sun, Libao Shi, Y. Ni, Dajun Si","doi":"10.1109/EPE.2017.7967238","DOIUrl":"https://doi.org/10.1109/EPE.2017.7967238","url":null,"abstract":"This paper aims to identify the critical line on the basis of power system cascading failure search. The proposed critical line identification strategy considers the factors of power flow and topology. Accordingly the electrical betweenness and transmission power are employed during analysis, of which the corresponding theoretical basis is deduced in simple systems. Next follow-up step is to apply the artificial neural network (ANN) technique to classify corresponding degrees. Finally the case studies are performed on the IEEE 39-bus test system to illustrate the validity of the proposed strategies and methods.","PeriodicalId":201464,"journal":{"name":"2017 18th International Scientific Conference on Electric Power Engineering (EPE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125853908","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}
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