Pub Date : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316568
Tobias Häring, A. Rosin, Tuule Mall Kull, J. Helguero, H. Biechl
Due to the increasing share of volatile renewable energy sources, like photovoltaics (PV) and wind energy in nearly Zero Energy Buildings (nZEB), there is an increasing need for demand-side management (DSM) or demand response (DR) programs to balance the production and consumption in the grid. The flexibility that can be obtained for smart grids from such DR methods is not limited to appliances like water heaters or dishwashers but can also be achieved with space heating and air-conditioning. In such an interdisciplinary investigation, often one part is simplified, in this case, typically either the thermal models or the implemented DR strategy are very detailed. In this work, a detailed thermal model of a control center is obtained and calibrated in IDA ICE building-modelling software with measurements from a test site in Germany. Afterward, several price-based load matching algorithms are applied to the model to see the possible flexibility exploitation with the thermal capacity of this small building. Not all investigated algorithms show good performance but some of them show promising results. Thus, this model can be used for DR methods and should be extended to work with more DSM strategies and provide ancillary services.
{"title":"Thermal Modelling of a Control Center for Flexibility Analysis in nZEB Nanogrids","authors":"Tobias Häring, A. Rosin, Tuule Mall Kull, J. Helguero, H. Biechl","doi":"10.1109/RTUCON51174.2020.9316568","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316568","url":null,"abstract":"Due to the increasing share of volatile renewable energy sources, like photovoltaics (PV) and wind energy in nearly Zero Energy Buildings (nZEB), there is an increasing need for demand-side management (DSM) or demand response (DR) programs to balance the production and consumption in the grid. The flexibility that can be obtained for smart grids from such DR methods is not limited to appliances like water heaters or dishwashers but can also be achieved with space heating and air-conditioning. In such an interdisciplinary investigation, often one part is simplified, in this case, typically either the thermal models or the implemented DR strategy are very detailed. In this work, a detailed thermal model of a control center is obtained and calibrated in IDA ICE building-modelling software with measurements from a test site in Germany. Afterward, several price-based load matching algorithms are applied to the model to see the possible flexibility exploitation with the thermal capacity of this small building. Not all investigated algorithms show good performance but some of them show promising results. Thus, this model can be used for DR methods and should be extended to work with more DSM strategies and provide ancillary services.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132463091","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316476
M. Khokhlov, O. Pozdnyakova, A. Obushevs
This paper is devoted to the problem of the phasor measurement units (PMUs) placement for power system state estimation using optimality criteria proposed by the theory of optimal experimental design, such as A-, D-, M-, I-, G-optimality criteria. The high complexity of the task posed limits on the possibilities of solving it by exact mathematical methods only to small scale power systems. The paper studies the possibility to use population-based optimization algorithms (Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization). To meet the state observability requirements, the repair procedure is incorporated in the population-based algorithms. This allows to overcome the drawbacks in the existing methods based on the assumption of a priory observability of the power system and to take into account the system contingencies such as the phasor failures, the PMU losses, and the branch outages. We demonstrate the effectiveness of the proposed method in terms of the PMU placement design's efficiency and computation efforts through the numerical simulations on a standard IEEE 118-bus system.
{"title":"Optimal PMU Placement for Power System State Estimation using Population-based Algorithms Incorporating Observability Requirements","authors":"M. Khokhlov, O. Pozdnyakova, A. Obushevs","doi":"10.1109/RTUCON51174.2020.9316476","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316476","url":null,"abstract":"This paper is devoted to the problem of the phasor measurement units (PMUs) placement for power system state estimation using optimality criteria proposed by the theory of optimal experimental design, such as A-, D-, M-, I-, G-optimality criteria. The high complexity of the task posed limits on the possibilities of solving it by exact mathematical methods only to small scale power systems. The paper studies the possibility to use population-based optimization algorithms (Genetic Algorithm, Differential Evolution, Particle Swarm Optimization, and Ant Colony Optimization). To meet the state observability requirements, the repair procedure is incorporated in the population-based algorithms. This allows to overcome the drawbacks in the existing methods based on the assumption of a priory observability of the power system and to take into account the system contingencies such as the phasor failures, the PMU losses, and the branch outages. We demonstrate the effectiveness of the proposed method in terms of the PMU placement design's efficiency and computation efforts through the numerical simulations on a standard IEEE 118-bus system.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127928914","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316588
M. Abbasi, A. Garganeev, Arif Abdul Rahim
During last decades, due to continuous increasing power demand and advancing technology, microgrid (MG) has become more popular. Renewable energy sources stand itself as one of the power generation sources in such microgrids. This paper introduces a hybrid AC microgrid (ACMG) comprising a storage system, wind turbine, diesel generation (DG), and microgrid control center (MGCC), which was capable of operating isolated or interconnected with main grid. A power control strategy is proposed based on the data received from the MGCC, which improved the power reliability and stabilized the power system during power failure An experimental modeling platform was used to analyze the grid behaviors in MATLAB Simulink. The observed results confirmed that the proposed strategy enhanced the power efficiency and stability in the proposed microgrid.
{"title":"Control Strategies and Simulation of a Hybrid-Microgrid in Grid-Connected and Islanded Modes","authors":"M. Abbasi, A. Garganeev, Arif Abdul Rahim","doi":"10.1109/RTUCON51174.2020.9316588","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316588","url":null,"abstract":"During last decades, due to continuous increasing power demand and advancing technology, microgrid (MG) has become more popular. Renewable energy sources stand itself as one of the power generation sources in such microgrids. This paper introduces a hybrid AC microgrid (ACMG) comprising a storage system, wind turbine, diesel generation (DG), and microgrid control center (MGCC), which was capable of operating isolated or interconnected with main grid. A power control strategy is proposed based on the data received from the MGCC, which improved the power reliability and stabilized the power system during power failure An experimental modeling platform was used to analyze the grid behaviors in MATLAB Simulink. The observed results confirmed that the proposed strategy enhanced the power efficiency and stability in the proposed microgrid.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483960","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316471
A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts, G. Demidova
Nowadays, data is not just a collection of static documents, but a continuous flow of information. Research projects are required not only to manage data efficiently but also to keep it safe to ensure that it can be later correctly interpreted and reused. The Data Management Plan (DMP) is a document that describes the data management life cycle for the data to be collected, processed and/or generated during the project workflow. The DMP is not a fixed but rather a living document that will evolve through the lifespan of the project. A general idea of the paper is to give a brief description of the data (including any existing data, data taken from third-party sources or produced data) that is used during the project lifetime. Special attention is paid on how the data is created and collected, how the data is organized during the project (naming conventions, version control, and folder structures). Moreover, the choice of format and implications of data format and data volumes in terms of storage, backup, and access is discussed.
{"title":"Digital Twin Data Handling for Propulsion Drive System of Autonomous Electric Vehicle: Case Study","authors":"A. Rassõlkin, V. Rjabtšikov, T. Vaimann, A. Kallaste, V. Kuts, G. Demidova","doi":"10.1109/RTUCON51174.2020.9316471","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316471","url":null,"abstract":"Nowadays, data is not just a collection of static documents, but a continuous flow of information. Research projects are required not only to manage data efficiently but also to keep it safe to ensure that it can be later correctly interpreted and reused. The Data Management Plan (DMP) is a document that describes the data management life cycle for the data to be collected, processed and/or generated during the project workflow. The DMP is not a fixed but rather a living document that will evolve through the lifespan of the project. A general idea of the paper is to give a brief description of the data (including any existing data, data taken from third-party sources or produced data) that is used during the project lifetime. Special attention is paid on how the data is created and collected, how the data is organized during the project (naming conventions, version control, and folder structures). Moreover, the choice of format and implications of data format and data volumes in terms of storage, backup, and access is discussed.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132551758","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316478
Anastasia Kovaleva, A. Tavlintsev, E. Lyukhanov, S. Gusev, I. Zicmane, L. Petrichenko
It is known that composition and behavior of an electrical load are constantly changing over time, therefore, to model and analyze the modes of power systems, it is necessary to update load models. This article proposes a method for processing the data of passive measurements to obtain static characteristic coefficients of loads. The developed algorithm includes the following subtasks: selection of initial data; determination of an acceptable modeling interval; clustering and filtering of measurement data; selection and statistical evaluation of the load static characteristic. This algorithm was applied to estimate coefficients of linearized static characteristic model of a real load node based on the field measurements and showed results close to the previously obtained experimental estimates for this type of load. This indicates the applicability of the proposed method for assessing the static characteristic coefficients of various load nodes.
{"title":"Evaluation of static characteristic coefficients basing on field test data","authors":"Anastasia Kovaleva, A. Tavlintsev, E. Lyukhanov, S. Gusev, I. Zicmane, L. Petrichenko","doi":"10.1109/RTUCON51174.2020.9316478","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316478","url":null,"abstract":"It is known that composition and behavior of an electrical load are constantly changing over time, therefore, to model and analyze the modes of power systems, it is necessary to update load models. This article proposes a method for processing the data of passive measurements to obtain static characteristic coefficients of loads. The developed algorithm includes the following subtasks: selection of initial data; determination of an acceptable modeling interval; clustering and filtering of measurement data; selection and statistical evaluation of the load static characteristic. This algorithm was applied to estimate coefficients of linearized static characteristic model of a real load node based on the field measurements and showed results close to the previously obtained experimental estimates for this type of load. This indicates the applicability of the proposed method for assessing the static characteristic coefficients of various load nodes.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131374608","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316472
N. Mukhlynin, Alan Celestino
This paper is devoted to a new method of load recognition that discards direct installation of sensors near consumer loads (distant sensorless technology). This method can be used for state monitoring of critical electrical loads when the creation of a conventional local dispatch system with traditional sensors is impossible. This method's key idea is to employ a unique combination of discrete and continuous wavelet transforms to analyze the high sampled oscillograms of current loads. The continuous transform applies a set of non-standard consumer's mother wavelets, making it possible to single out one out of identical electrical loads in the complex current signal. This algorithm is pre-configured and trained to identify target loads, and it also has conditions of applicability. It could be part of a software in a device for monitoring critical electrical loads in life support systems (water and air pumps in mines, electric motors operating in aggressive conditions, etc.). In addition, it is possible to control individual malfunctions of electric devices. The criterion of deterioration in stability of load recognition is the decline in the quality of the set of unique consumer's mother wavelets.
{"title":"Method of Distance Load Recognition based on the Processing of High Sampled Current Oscillograms","authors":"N. Mukhlynin, Alan Celestino","doi":"10.1109/RTUCON51174.2020.9316472","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316472","url":null,"abstract":"This paper is devoted to a new method of load recognition that discards direct installation of sensors near consumer loads (distant sensorless technology). This method can be used for state monitoring of critical electrical loads when the creation of a conventional local dispatch system with traditional sensors is impossible. This method's key idea is to employ a unique combination of discrete and continuous wavelet transforms to analyze the high sampled oscillograms of current loads. The continuous transform applies a set of non-standard consumer's mother wavelets, making it possible to single out one out of identical electrical loads in the complex current signal. This algorithm is pre-configured and trained to identify target loads, and it also has conditions of applicability. It could be part of a software in a device for monitoring critical electrical loads in life support systems (water and air pumps in mines, electric motors operating in aggressive conditions, etc.). In addition, it is possible to control individual malfunctions of electric devices. The criterion of deterioration in stability of load recognition is the decline in the quality of the set of unique consumer's mother wavelets.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123397456","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316485
L. Kurevska, A. Sauhats, G. Junghāns, Valentīns Lavrinovcs
Improved end-user engagement is considered to be a key factor in decarbonization efforts towards climate neutral energy systems. While local implementations of implicit and explicit demand response solutions have been available to end consumers, energy consumption optimization is still in the stage of early adopters and no aggregator services have emerged. The new regulation allowing demand response to enter Day-ahead market is expected to have an impact on the electricity prices. The objective of this paper is to perform factor analysis on Latvian wholesale electricity market prices to determine the effect of the introduction of demand response in day ahead market might have on other market participants.
{"title":"Measuring the impact of demand response services on electricity prices in Latvian electricity market","authors":"L. Kurevska, A. Sauhats, G. Junghāns, Valentīns Lavrinovcs","doi":"10.1109/RTUCON51174.2020.9316485","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316485","url":null,"abstract":"Improved end-user engagement is considered to be a key factor in decarbonization efforts towards climate neutral energy systems. While local implementations of implicit and explicit demand response solutions have been available to end consumers, energy consumption optimization is still in the stage of early adopters and no aggregator services have emerged. The new regulation allowing demand response to enter Day-ahead market is expected to have an impact on the electricity prices. The objective of this paper is to perform factor analysis on Latvian wholesale electricity market prices to determine the effect of the introduction of demand response in day ahead market might have on other market participants.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114079694","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316611
Lauri Ulm, H. Koduvere, I. Palu
In coming years the amount of renewable energy production compared to the production from conventional power plants will increase. The electricity produced from wind energy is considered to be the one with the lowest levelized cost of energy and could be a dominant electricity source in the future. The dismantling of conventional power plants and increase in variable renewable energy production will have effect on the average electricity price on the Nord Pool market to the consumers, but even more to the wind electricity producers. Three scenarios of wind energy installed capacity from years 2025 to 2045 were analyzed with Balmorel program in Estonia and nearby countries. As a results two simplified models to determine the average electricity price and the discount effect in relation to installed wind energy capacity was introduced.
{"title":"“Discount” - the renewable energy production impact on electricity price","authors":"Lauri Ulm, H. Koduvere, I. Palu","doi":"10.1109/RTUCON51174.2020.9316611","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316611","url":null,"abstract":"In coming years the amount of renewable energy production compared to the production from conventional power plants will increase. The electricity produced from wind energy is considered to be the one with the lowest levelized cost of energy and could be a dominant electricity source in the future. The dismantling of conventional power plants and increase in variable renewable energy production will have effect on the average electricity price on the Nord Pool market to the consumers, but even more to the wind electricity producers. Three scenarios of wind energy installed capacity from years 2025 to 2045 were analyzed with Balmorel program in Estonia and nearby countries. As a results two simplified models to determine the average electricity price and the discount effect in relation to installed wind energy capacity was introduced.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393872","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316607
Maksims Feofilovs, Armands Gravelsins, F. Romagnoli
The topicality of resilience assessment has grown in many science fields over last decades, including energy systems modeling. The variety of existing resilience assessment methods is large, therefore this article outlines the most important features of different quantitative methods. The conclusions of literature review performed in this study provide relevant information for energy systems modelers that aim at integrating resilience assessment into their models.
{"title":"Review of disaster resilience assessment methods: (Quantitative aspects for renewable energy systems modelling)","authors":"Maksims Feofilovs, Armands Gravelsins, F. Romagnoli","doi":"10.1109/RTUCON51174.2020.9316607","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316607","url":null,"abstract":"The topicality of resilience assessment has grown in many science fields over last decades, including energy systems modeling. The variety of existing resilience assessment methods is large, therefore this article outlines the most important features of different quantitative methods. The conclusions of literature review performed in this study provide relevant information for energy systems modelers that aim at integrating resilience assessment into their models.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131821254","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 : 2020-11-05DOI: 10.1109/RTUCON51174.2020.9316484
Pavel Y. Bannykh, A. Pazderin
Distribution grid analysis is based on distribution grid power flow calculation. New power flow algorithm for distribution network is developed. Three-phase flow model is presented. The presented model is a development of single-line flow model. Three-phase flow model give the opportunity use advantages of flow model and take into account unbalanced condition of distribution grids. In addition, in three-phase power flow there is a convergence problem in system with wye delta transformer. Presented three-phase flow model solve this problem. Comparative numerical analysis with another three-phase power flow methods performed. Experiments show that presented flow model has better convergence characteristics.
{"title":"Distribution Grid Three-Phase Power Flow Algorithm Based On Flow Model","authors":"Pavel Y. Bannykh, A. Pazderin","doi":"10.1109/RTUCON51174.2020.9316484","DOIUrl":"https://doi.org/10.1109/RTUCON51174.2020.9316484","url":null,"abstract":"Distribution grid analysis is based on distribution grid power flow calculation. New power flow algorithm for distribution network is developed. Three-phase flow model is presented. The presented model is a development of single-line flow model. Three-phase flow model give the opportunity use advantages of flow model and take into account unbalanced condition of distribution grids. In addition, in three-phase power flow there is a convergence problem in system with wye delta transformer. Presented three-phase flow model solve this problem. Comparative numerical analysis with another three-phase power flow methods performed. Experiments show that presented flow model has better convergence characteristics.","PeriodicalId":332414,"journal":{"name":"2020 IEEE 61th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130938046","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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