Pub Date : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543026
Willians Panadero Bogarín, Sebastián Martín, J. Pérez-Ruiz
Optimal sizing and operation of a household with photovoltaic (PV) and storage requires a proper consideration of some uncertain parameters, as demand and PV generation. A one-year case study, including several scenarios and hourly discretization, may be very efficiently solved using an off-the-shelf solver on a laptop. However, getting those data is not always an easy task. In this work, we study whether it would be possible to get an approximate solution by using aggregate measures for those uncertain parameters and how should the problem be transformed to handle that aggregated information. By taking into account the average values of consecutive periods, we propose a linear transformation of the constraints and a set of additional ones to get this goal. Results over a case study show that the proposed procedure provides reasonable values, although the precision could be improved if some additional information, apart from the average values of the uncertain input data, is considered.
{"title":"Simplifying the Data for the Optimal Sizing and Operation of PV and Storage in a Household by Linear Transformations","authors":"Willians Panadero Bogarín, Sebastián Martín, J. Pérez-Ruiz","doi":"10.1109/ISGTLatinAmerica52371.2021.9543026","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543026","url":null,"abstract":"Optimal sizing and operation of a household with photovoltaic (PV) and storage requires a proper consideration of some uncertain parameters, as demand and PV generation. A one-year case study, including several scenarios and hourly discretization, may be very efficiently solved using an off-the-shelf solver on a laptop. However, getting those data is not always an easy task. In this work, we study whether it would be possible to get an approximate solution by using aggregate measures for those uncertain parameters and how should the problem be transformed to handle that aggregated information. By taking into account the average values of consecutive periods, we propose a linear transformation of the constraints and a set of additional ones to get this goal. Results over a case study show that the proposed procedure provides reasonable values, although the precision could be improved if some additional information, apart from the average values of the uncertain input data, is considered.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127634626","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543066
J. D. do Prado, Marcos Vinicius Santos, L. F. Ramos, L. Canha, G. Konzen
The Brazilian state of Amapa=-notable for having 70% of its area consisting of unexplored Amazonian forests-experienced a massive power blackout in November 2020. An internal short-circuit in a transformer led to an explosion followed by a fire at the Macapa substation. This event left about 90% of the Amapa's population without power for several days in the middle of the COVID-19 pandemic, disrupting the lives of hundreds of thousands of people and raising concerns from several electricity sector stakeholders. This paper discusses select lessons learned from the power blackout and presents future opportunities to improve power system reliability and resilience for the grids in Amapá, and other similar Brazilian states, with a special focus on the increasingly important role of of distributed energy resources and smart grid technologies.
{"title":"The 2020 Power Blackout in the Brazilian State of Amapá: Lessons Learned and Opportunities","authors":"J. D. do Prado, Marcos Vinicius Santos, L. F. Ramos, L. Canha, G. Konzen","doi":"10.1109/ISGTLatinAmerica52371.2021.9543066","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543066","url":null,"abstract":"The Brazilian state of Amapa=-notable for having 70% of its area consisting of unexplored Amazonian forests-experienced a massive power blackout in November 2020. An internal short-circuit in a transformer led to an explosion followed by a fire at the Macapa substation. This event left about 90% of the Amapa's population without power for several days in the middle of the COVID-19 pandemic, disrupting the lives of hundreds of thousands of people and raising concerns from several electricity sector stakeholders. This paper discusses select lessons learned from the power blackout and presents future opportunities to improve power system reliability and resilience for the grids in Amapá, and other similar Brazilian states, with a special focus on the increasingly important role of of distributed energy resources and smart grid technologies.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130984404","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543024
Steven Quinde, J. Rengifo, Fernando Vaca-Urbano
The non-technical losses are an important problem for the electric networks in the Region. However, its detection is possible using data mining. This work presents the implementation of clustering algorithms to detect non-technical losses using demand daily curves obtained from Advanced Metering Instruments (AMI). Three different clustering algorithms are compared, and their ability to identify outliers profiles is discussed. The study used synthetic data created with the Gaussian Hidden Markov Model adjusted with a common residential demand pattern from Guayaquil residential users. Results evidence the detection of 68% of the non-technical losses.
{"title":"Non-technical loss detection using data mining algorithms","authors":"Steven Quinde, J. Rengifo, Fernando Vaca-Urbano","doi":"10.1109/ISGTLatinAmerica52371.2021.9543024","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543024","url":null,"abstract":"The non-technical losses are an important problem for the electric networks in the Region. However, its detection is possible using data mining. This work presents the implementation of clustering algorithms to detect non-technical losses using demand daily curves obtained from Advanced Metering Instruments (AMI). Three different clustering algorithms are compared, and their ability to identify outliers profiles is discussed. The study used synthetic data created with the Gaussian Hidden Markov Model adjusted with a common residential demand pattern from Guayaquil residential users. Results evidence the detection of 68% of the non-technical losses.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045020","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543063
Mauro O. de Lara Filho, R. S. Pinto, A. C. de Campos, C. Vila, Fabricio H. Tabarro
With the steady development and growth of distributed power energy resources (DERs), traditional distribution networks are being transformed in active distribution networks (ADNs), characterized by the presence of microgrids. Therefore, optimization of microgrid's resources has gained importance. The main challenges on optimization of microgrids are the high penetration of renewables such as PV and wind power, since these sources have an intermittent behavior that increases uncertainties, and managing DERs and energy transactions with the distribution system. This work proposes a framework for the day-ahead optimal operation planning of a microgrid containing batteries, controllable loads, PV generation, and thermal generation that accounts for the uncertainties using a robust optimization (RO) approach. The microgrid network feeders were also represented, aiming to ensure compliance with the operational constraints such as bus voltages and feeders' capacity limits. The system was modeled as a mixed-integer linear programming problem (MILP) and solved using a two-stage decomposition via a column and constraint generation algorithm (C&CG). The results indicate that the proposed framework can solve the microgrid optimization problem within reasonable computational time (< 5s) and demonstrate the importance of considering uncertainties, since a mere 15% uncertainty in load and PV generation forecast caused a 29,8% increase in daily operational costs.
{"title":"Day-Ahead Robust Operation Planning of Microgrids Under Uncertainties Considering DERs and Demand Response","authors":"Mauro O. de Lara Filho, R. S. Pinto, A. C. de Campos, C. Vila, Fabricio H. Tabarro","doi":"10.1109/ISGTLatinAmerica52371.2021.9543063","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543063","url":null,"abstract":"With the steady development and growth of distributed power energy resources (DERs), traditional distribution networks are being transformed in active distribution networks (ADNs), characterized by the presence of microgrids. Therefore, optimization of microgrid's resources has gained importance. The main challenges on optimization of microgrids are the high penetration of renewables such as PV and wind power, since these sources have an intermittent behavior that increases uncertainties, and managing DERs and energy transactions with the distribution system. This work proposes a framework for the day-ahead optimal operation planning of a microgrid containing batteries, controllable loads, PV generation, and thermal generation that accounts for the uncertainties using a robust optimization (RO) approach. The microgrid network feeders were also represented, aiming to ensure compliance with the operational constraints such as bus voltages and feeders' capacity limits. The system was modeled as a mixed-integer linear programming problem (MILP) and solved using a two-stage decomposition via a column and constraint generation algorithm (C&CG). The results indicate that the proposed framework can solve the microgrid optimization problem within reasonable computational time (< 5s) and demonstrate the importance of considering uncertainties, since a mere 15% uncertainty in load and PV generation forecast caused a 29,8% increase in daily operational costs.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123260238","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543037
Victor De Magalhães, Deboni, C. Frederico, Meschini Almeida, L. H. L. Rosa, N. Kagan, Matheus Mingatos, Femandes Gemignani, Márcio Ribeiro Cruz
Propose innovation through new technologies is a challenge when the aimed system is well-structured with the actual architecture. That said, this work assigns the functionalities and potentialities of an Energy Blockchain technology with the needed local regulations, management, and assessment of an energy grid, towards a decentralized distributed network. It is presented using programming languages JavaScript and Solidity how a simple Blockchain can be structured and how several functions can automatize even more the energy niche. Considering the state-of-art of this technology it would contribute with gains in transparency, security, cost reduction and efficiency to our actual distribution energy grid. Therefore, a walkthrough to reach a parity between the actual regulation concepts and programmed smart contracts, in terms of a public Blockchain platform, is presented aspiring gains to systematic users attained in the optimization of the prosumers state, energy matrix configuration, price, data acquisition., and responsiveness of law resolutions.
{"title":"Grid management system through functionalitites and potentialities of an Energy Blockchain","authors":"Victor De Magalhães, Deboni, C. Frederico, Meschini Almeida, L. H. L. Rosa, N. Kagan, Matheus Mingatos, Femandes Gemignani, Márcio Ribeiro Cruz","doi":"10.1109/ISGTLatinAmerica52371.2021.9543037","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543037","url":null,"abstract":"Propose innovation through new technologies is a challenge when the aimed system is well-structured with the actual architecture. That said, this work assigns the functionalities and potentialities of an Energy Blockchain technology with the needed local regulations, management, and assessment of an energy grid, towards a decentralized distributed network. It is presented using programming languages JavaScript and Solidity how a simple Blockchain can be structured and how several functions can automatize even more the energy niche. Considering the state-of-art of this technology it would contribute with gains in transparency, security, cost reduction and efficiency to our actual distribution energy grid. Therefore, a walkthrough to reach a parity between the actual regulation concepts and programmed smart contracts, in terms of a public Blockchain platform, is presented aspiring gains to systematic users attained in the optimization of the prosumers state, energy matrix configuration, price, data acquisition., and responsiveness of law resolutions.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127434399","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543017
Mohammad Habibullah, F. Gonzalez-Longatt, Martha N. Acosta Montalvo, H. Chamorro, J. Rueda, P. Palensky
Power electronic converter (PEC) is an enabling technology for the energy transition, but the massive integration of PEC raises several issues. The use of Voltage source converters (VSCs) enabled with grid forming control offer a long-term solution of PEC-dominated power systems. This paper shows a glance of the dynamic performance during short-circuit of three common grid forming controller types emulating synchronous generation are implemented: Virtual Synchronous Machine (VSM), the Synchronverter and grid forming droop control; and compared with a classic synchronous generator. Simulation results, considering a single generator contacted to an infinite bus, show the grid-forming converters' high-speed and different behaviour compared to the synchronous generator.
{"title":"On Short Circuit of Grid-Forming Converters Controllers: A glance of the Dynamic Behaviour","authors":"Mohammad Habibullah, F. Gonzalez-Longatt, Martha N. Acosta Montalvo, H. Chamorro, J. Rueda, P. Palensky","doi":"10.1109/ISGTLatinAmerica52371.2021.9543017","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543017","url":null,"abstract":"Power electronic converter (PEC) is an enabling technology for the energy transition, but the massive integration of PEC raises several issues. The use of Voltage source converters (VSCs) enabled with grid forming control offer a long-term solution of PEC-dominated power systems. This paper shows a glance of the dynamic performance during short-circuit of three common grid forming controller types emulating synchronous generation are implemented: Virtual Synchronous Machine (VSM), the Synchronverter and grid forming droop control; and compared with a classic synchronous generator. Simulation results, considering a single generator contacted to an infinite bus, show the grid-forming converters' high-speed and different behaviour compared to the synchronous generator.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114470041","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543013
Yanick Rodolfo Gomes, E. A. Belati, Renzo Vargas
Network reconfiguration is one of the main approaches to improve the operation of distribution systems. The main objective of the reconfiguration problem is to find a radial network topology with minimum technical losses. This work presents an approach to address the reconfiguration problem using the Flower Pollination Algorithm (FPA). FPA is a metaheuristic inspired by the pollination of plants through flowers. The proposed method is validated using several test systems found in the literature. Results are compared with other techniques, verifying the efficiency of the new approach. It is concluded that the metaheuristic FPA presents an excellent performance for the reconfiguration problem in small and medium-sized distribution networks.
{"title":"Flower Pollination Algorithm for Distribution System Reconfiguration Problem","authors":"Yanick Rodolfo Gomes, E. A. Belati, Renzo Vargas","doi":"10.1109/ISGTLatinAmerica52371.2021.9543013","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543013","url":null,"abstract":"Network reconfiguration is one of the main approaches to improve the operation of distribution systems. The main objective of the reconfiguration problem is to find a radial network topology with minimum technical losses. This work presents an approach to address the reconfiguration problem using the Flower Pollination Algorithm (FPA). FPA is a metaheuristic inspired by the pollination of plants through flowers. The proposed method is validated using several test systems found in the literature. Results are compared with other techniques, verifying the efficiency of the new approach. It is concluded that the metaheuristic FPA presents an excellent performance for the reconfiguration problem in small and medium-sized distribution networks.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539032","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543084
J. S. Daza O., A. C. Cristancho B., M. Restrepo, A. Arango-Manrique
The road transportation sector is facing a transition from fossil fuels to electricity that is producing many technical impacts in local distribution systems because of the widespread installation of home and public Electric Vehicle (EV) chargers with power outputs that range from few to hundreds of kW. To ease the distribution system impact analysis of these rapidly growing loads, this paper describes a software application developed in Matlab that integrates the attributes of Eclipse SUMO and OpenDSS to co-simulate a road transportation network and a distribution system, obtain realistic usage schedules of EV chargers, and quantify their effects on voltages and currents of medium- and low-voltage feeders. A case study presenting the distribution system impact analysis of six public EV charging stations in Barranquilla, Colombia is reported to illustrate the features of the developed tool. The results demonstrate the flexibility of the proposed application software to simulate practical charging impact scenarios with different transportation networks, charger locations, and power levels.
{"title":"Application Software for Studying the Impact of Electric Vehicle Charging Stations in Distribution Systems","authors":"J. S. Daza O., A. C. Cristancho B., M. Restrepo, A. Arango-Manrique","doi":"10.1109/ISGTLatinAmerica52371.2021.9543084","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543084","url":null,"abstract":"The road transportation sector is facing a transition from fossil fuels to electricity that is producing many technical impacts in local distribution systems because of the widespread installation of home and public Electric Vehicle (EV) chargers with power outputs that range from few to hundreds of kW. To ease the distribution system impact analysis of these rapidly growing loads, this paper describes a software application developed in Matlab that integrates the attributes of Eclipse SUMO and OpenDSS to co-simulate a road transportation network and a distribution system, obtain realistic usage schedules of EV chargers, and quantify their effects on voltages and currents of medium- and low-voltage feeders. A case study presenting the distribution system impact analysis of six public EV charging stations in Barranquilla, Colombia is reported to illustrate the features of the developed tool. The results demonstrate the flexibility of the proposed application software to simulate practical charging impact scenarios with different transportation networks, charger locations, and power levels.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125531977","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543065
César Díaz, R. Arias, Julien Noel
Our research proposed a methodology for detecting transient instability failures in dynamic simulations for Peruvian Center-South Transmission System. Our findings are disconnection time up to 190ms for 500 kV in overhead lines, an interrupted power greater than 32 MW and the type of line according to its voltage (500 kV) [1]. The case study is the disconnection of line 5011 (Chilca Nueva-Fenix), which had a replacement time of 4h 14 min and an interrupted power of 529.6 MW; obtaining a critical angle of 1.26 rad and a time saving of 4.75 s.
{"title":"Corrective Analysis of Transient Instabilities for PMU in the Peruvian Center-South Transmission System","authors":"César Díaz, R. Arias, Julien Noel","doi":"10.1109/ISGTLatinAmerica52371.2021.9543065","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543065","url":null,"abstract":"Our research proposed a methodology for detecting transient instability failures in dynamic simulations for Peruvian Center-South Transmission System. Our findings are disconnection time up to 190ms for 500 kV in overhead lines, an interrupted power greater than 32 MW and the type of line according to its voltage (500 kV) [1]. The case study is the disconnection of line 5011 (Chilca Nueva-Fenix), which had a replacement time of 4h 14 min and an interrupted power of 529.6 MW; obtaining a critical angle of 1.26 rad and a time saving of 4.75 s.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132714034","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 : 2021-09-15DOI: 10.1109/ISGTLatinAmerica52371.2021.9543044
Edison G. Guama, Iván D. Claros
Recently, the use of algorithms based on artificial intelligence for fault analysis in power systems has had a great increase mainly due to the ability of these techniques to model systems with non-linear behavior such as an electrical system. This paper presents a method for fault classification in transmission lines based on 2 stages of Self Organizing Maps: the first one determines if the fault is to ground using the voltage and current of zero sequence, and the second one identifies the failed phase through the phase current. The measures of current and voltage signals, available in the protection devices through the COMTRADE standard format, were used as model inputs. Data processing is realized using symmetrical components and the R-DFT algorithm, model settings and training are also reviewed in detail. Finally, the proposed method was evaluated through a case study under several real failure conditions, the results confirm the effectiveness of the prooosed method.
{"title":"A Simple Method for Fault Classification Based on Two Stages of Self Organizing Map","authors":"Edison G. Guama, Iván D. Claros","doi":"10.1109/ISGTLatinAmerica52371.2021.9543044","DOIUrl":"https://doi.org/10.1109/ISGTLatinAmerica52371.2021.9543044","url":null,"abstract":"Recently, the use of algorithms based on artificial intelligence for fault analysis in power systems has had a great increase mainly due to the ability of these techniques to model systems with non-linear behavior such as an electrical system. This paper presents a method for fault classification in transmission lines based on 2 stages of Self Organizing Maps: the first one determines if the fault is to ground using the voltage and current of zero sequence, and the second one identifies the failed phase through the phase current. The measures of current and voltage signals, available in the protection devices through the COMTRADE standard format, were used as model inputs. Data processing is realized using symmetrical components and the R-DFT algorithm, model settings and training are also reviewed in detail. Finally, the proposed method was evaluated through a case study under several real failure conditions, the results confirm the effectiveness of the prooosed method.","PeriodicalId":120262,"journal":{"name":"2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130452401","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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