Pub Date : 2019-09-01DOI: 10.1109/SEST.2019.8849001
Naoyuki Takahashi
PVs have been rapidly incorporated within power distribution systems after the operation of Feed In Tariff (FIT). Step Voltage Regulator (SVR) with Line Drop Compensator method has been installed to the power distribution system to control rising voltages due to the reverse flow from PVs. LDC controls the distribution voltage based on the estimated voltage obtained via sensor measurements in real-time. However, using LDC, it is difficult to maintain the distribution voltage within a specified range because the estimation error expands with increasing PV installed capacity. In Japan, a type of automatic switch with voltage and current sensors (IT-switch) has been installed to detect an accident point in the power distribution system. IT-switching can monitor line voltage and current in each phase, and measured data are transferred to data servers. This paper proposes an advanced, autonomous voltage-control method to improve the estimation accuracy and voltage control performance of SVR, using the reference database to address the voltage deviation problem. The proposed method estimates a voltage width of the control target voltage in real-time as a reference voltage by using the measured (online) data and database (offline) data. To determine the validity of the proposed method, we conducted numerical simulations and compared the voltage control performance and the influence of SVR life span using a model power distribution system. The results indicates that the proposed method improved the voltage control performance and SVR life span by improving the estimation accuracy through the integration of real-time measured data and the reference database.
{"title":"Advanced Autonomous Voltage-Control Method using Sensor Data in a Distribution Power System","authors":"Naoyuki Takahashi","doi":"10.1109/SEST.2019.8849001","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849001","url":null,"abstract":"PVs have been rapidly incorporated within power distribution systems after the operation of Feed In Tariff (FIT). Step Voltage Regulator (SVR) with Line Drop Compensator method has been installed to the power distribution system to control rising voltages due to the reverse flow from PVs. LDC controls the distribution voltage based on the estimated voltage obtained via sensor measurements in real-time. However, using LDC, it is difficult to maintain the distribution voltage within a specified range because the estimation error expands with increasing PV installed capacity. In Japan, a type of automatic switch with voltage and current sensors (IT-switch) has been installed to detect an accident point in the power distribution system. IT-switching can monitor line voltage and current in each phase, and measured data are transferred to data servers. This paper proposes an advanced, autonomous voltage-control method to improve the estimation accuracy and voltage control performance of SVR, using the reference database to address the voltage deviation problem. The proposed method estimates a voltage width of the control target voltage in real-time as a reference voltage by using the measured (online) data and database (offline) data. To determine the validity of the proposed method, we conducted numerical simulations and compared the voltage control performance and the influence of SVR life span using a model power distribution system. The results indicates that the proposed method improved the voltage control performance and SVR life span by improving the estimation accuracy through the integration of real-time measured data and the reference database.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126939565","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849010
João L. Torre, Luis A. M. Barros, J. Afonso, J. G. Pinto
The quality of electric power is receiving more and more attention from part of consumers, Distribution System Operators (DSO), Transmission System Operators (TSO) and other competent entities related to the electrical power system. Once the electrical Power Quality (PQ) problems have direct implications for business productivity, causing high economic losses, it is mandatory to develop solutions that mitigate these problems. Active Power Filters (APFs) are power electronic equipment capable of compensating PQ problems that have the ability to dynamically adjust their modes of operation in response to changes in load or in the power system. Among these solutions, the Series Active Power Filter (SeAPF) is specially conceived to deal with problems related to the power system voltage amplitude and waveform. Despite the ability to compensate voltage sags, voltage swells, voltage harmonics, and voltage imbalances in three-phase systems, the SeAPF has not achieved much success neither has not been widely adopted. The lack of interest in this equipment can be largely justified by its high cost and also because of some limitations presented by the SeAPF conventional topology. In this paper is presented a novel topology, as well as the control algorithms of a single-phase SeAPF that is connected directly to the power grid without the use of coupling transformers and that does not require the use of external power sources. The topology and control algorithms of the SeAPF proposed in this paper were firstly evaluated by means of simulation results obtained with PSIM software and, once validated, a laboratory prototype was developed, being presented experimental results that support the correct operation of the proposed system.
{"title":"Development of a Proposed Single-Phase Series Active Power Filter without External Power Sources","authors":"João L. Torre, Luis A. M. Barros, J. Afonso, J. G. Pinto","doi":"10.1109/SEST.2019.8849010","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849010","url":null,"abstract":"The quality of electric power is receiving more and more attention from part of consumers, Distribution System Operators (DSO), Transmission System Operators (TSO) and other competent entities related to the electrical power system. Once the electrical Power Quality (PQ) problems have direct implications for business productivity, causing high economic losses, it is mandatory to develop solutions that mitigate these problems. Active Power Filters (APFs) are power electronic equipment capable of compensating PQ problems that have the ability to dynamically adjust their modes of operation in response to changes in load or in the power system. Among these solutions, the Series Active Power Filter (SeAPF) is specially conceived to deal with problems related to the power system voltage amplitude and waveform. Despite the ability to compensate voltage sags, voltage swells, voltage harmonics, and voltage imbalances in three-phase systems, the SeAPF has not achieved much success neither has not been widely adopted. The lack of interest in this equipment can be largely justified by its high cost and also because of some limitations presented by the SeAPF conventional topology. In this paper is presented a novel topology, as well as the control algorithms of a single-phase SeAPF that is connected directly to the power grid without the use of coupling transformers and that does not require the use of external power sources. The topology and control algorithms of the SeAPF proposed in this paper were firstly evaluated by means of simulation results obtained with PSIM software and, once validated, a laboratory prototype was developed, being presented experimental results that support the correct operation of the proposed system.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116044761","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849100
Luis F. Ugarte, Maique C. Garcia, Enrico O. Rocheti, Eduardo Lacusta, Leandro Pereira, M. D. de Almeida
The advent of the Internet of Things (IoT) has been speeding up the development of information technologies, especially, in traditional knowledge areas. However, one of the main challenges of the IoT is the real-time communication, especially in long-range scenarios. A continuous communication guarantees the precision and reliability of the sampled data, and in turn, the analyses made from them. As IoT applications require different communication patterns, in this paper, the Long-Range (LoRa) communication is assessed as a solution for real-time monitoring of IoT devices at State University of Campinas (UNICAMP). LoRa can provide low power, long range, and high reliability. Datasheets indicate that LoRa can present a range of 15 km, but without specifying the environmental conditions, devices parameters, bandwidth, spreading factor, coding rate, transmission frequency and so on. In this work, several tests were performed in the UNICAMP campus considering different distances, modulation settings, and data packet sizes. Results highlight how LoRa communication enables the use of IoT devices within the campus with real-time communications, guaranteeing proper reliability.
{"title":"LoRa Communication as a Solution for Real-Time Monitoring of IoT Devices at UNICAMP","authors":"Luis F. Ugarte, Maique C. Garcia, Enrico O. Rocheti, Eduardo Lacusta, Leandro Pereira, M. D. de Almeida","doi":"10.1109/SEST.2019.8849100","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849100","url":null,"abstract":"The advent of the Internet of Things (IoT) has been speeding up the development of information technologies, especially, in traditional knowledge areas. However, one of the main challenges of the IoT is the real-time communication, especially in long-range scenarios. A continuous communication guarantees the precision and reliability of the sampled data, and in turn, the analyses made from them. As IoT applications require different communication patterns, in this paper, the Long-Range (LoRa) communication is assessed as a solution for real-time monitoring of IoT devices at State University of Campinas (UNICAMP). LoRa can provide low power, long range, and high reliability. Datasheets indicate that LoRa can present a range of 15 km, but without specifying the environmental conditions, devices parameters, bandwidth, spreading factor, coding rate, transmission frequency and so on. In this work, several tests were performed in the UNICAMP campus considering different distances, modulation settings, and data packet sizes. Results highlight how LoRa communication enables the use of IoT devices within the campus with real-time communications, guaranteeing proper reliability.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114378057","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 : 2019-09-01DOI: 10.1109/SEST.2019.8848997
Danman Wu, Libin Yang, Wei Wei, Laijun Chen, M. Lotfi, J. Catalão
In power system static security analysis, it often requires to calculate continuous power flow from a certain load condition to a bifurcation point along a given direction, which is referred to as the maximum loadability problem. This paper proposes a convex optimization method for maximum loadability problem over meshed power grids based on the semidefinite relaxation approach. Because the objective is to maximize the load increasing distance, convex relaxation model is generally inexact, unlike the situation in cost-minimum optimal power flow problem. Inspired by the rank penalty method, this paper proposes an iterative procedure to retrieve the maximum loadability. The convex quadratic term representing the penalty on the rank of matrix variable is updated in each iteration based on the latest solution. In order to expedite convergence, generator reactive power is also included in the objective function, which has been reported in literature. Numeric tests on some small-scale systems validate its effectiveness. Any sparsity-exploration and acceleration techniques for semidefinite programming can improve the efficiency of the proposed approach.
{"title":"Maximum Loadability of Meshed Networks: A Sequential Convex Optimization Approach","authors":"Danman Wu, Libin Yang, Wei Wei, Laijun Chen, M. Lotfi, J. Catalão","doi":"10.1109/SEST.2019.8848997","DOIUrl":"https://doi.org/10.1109/SEST.2019.8848997","url":null,"abstract":"In power system static security analysis, it often requires to calculate continuous power flow from a certain load condition to a bifurcation point along a given direction, which is referred to as the maximum loadability problem. This paper proposes a convex optimization method for maximum loadability problem over meshed power grids based on the semidefinite relaxation approach. Because the objective is to maximize the load increasing distance, convex relaxation model is generally inexact, unlike the situation in cost-minimum optimal power flow problem. Inspired by the rank penalty method, this paper proposes an iterative procedure to retrieve the maximum loadability. The convex quadratic term representing the penalty on the rank of matrix variable is updated in each iteration based on the latest solution. In order to expedite convergence, generator reactive power is also included in the objective function, which has been reported in literature. Numeric tests on some small-scale systems validate its effectiveness. Any sparsity-exploration and acceleration techniques for semidefinite programming can improve the efficiency of the proposed approach.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122195164","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849012
T. Sirojan, S. Lu, B. Phung, E. Ambikairajah
As part of smart grid upgrades, traditional electricity meters are being replaced with smart meters that can improve accuracy, efficiency, and visibility in electrical energy consumption patterns and measurements. However, in most of the deployments, smart meters are only used to digitally measure the energy usage of consumer premises and transmit those data to the utility providers. Despite this, smart meter data can be leveraged into numerous potential applications such as demand side management and energy savings via consumer load identification and abnormality detection. Anyhow, these features are not enabled in most deployments due to high sampling rate requirements, lack of affordable communication bandwidth and resource constraints in analyzing a huge amount of data. This paper demonstrates the suitability of the embedded edge computing paradigm which not only enriches the functionalities but also overcome the limitations of smart meters. It achieves significant improvements in accuracy, latency and bandwidth requirement on smart grid applications via pushing the data analytics into the smart meters. Furthermore, this paper exposes the impact of sampling frequency and digitization resolution in the smart meter data analytics. The experiments are conducted using National Instruments (NI) embedded hardware and the results are reported.
{"title":"Embedded Edge Computing for Real-time Smart Meter Data Analytics","authors":"T. Sirojan, S. Lu, B. Phung, E. Ambikairajah","doi":"10.1109/SEST.2019.8849012","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849012","url":null,"abstract":"As part of smart grid upgrades, traditional electricity meters are being replaced with smart meters that can improve accuracy, efficiency, and visibility in electrical energy consumption patterns and measurements. However, in most of the deployments, smart meters are only used to digitally measure the energy usage of consumer premises and transmit those data to the utility providers. Despite this, smart meter data can be leveraged into numerous potential applications such as demand side management and energy savings via consumer load identification and abnormality detection. Anyhow, these features are not enabled in most deployments due to high sampling rate requirements, lack of affordable communication bandwidth and resource constraints in analyzing a huge amount of data. This paper demonstrates the suitability of the embedded edge computing paradigm which not only enriches the functionalities but also overcome the limitations of smart meters. It achieves significant improvements in accuracy, latency and bandwidth requirement on smart grid applications via pushing the data analytics into the smart meters. Furthermore, this paper exposes the impact of sampling frequency and digitization resolution in the smart meter data analytics. The experiments are conducted using National Instruments (NI) embedded hardware and the results are reported.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129683678","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849015
Arpan Koirala, R. D’hulst, D. Van Hertem
This paper discusses the methods of modelling a European style TT grounded low voltage (LV) distribution system without increasing computational complexity and with increased accuracy. The conventional Kron's reduction neglects the effect of the neutral current return path through the neutral conductor. While a four-wire model gives accurate power flow results with the possibility to monitor the neutral voltage, it also increases the computational burden. In this paper, a novel reduction method is proposed for European style TT grounded low voltage distribution systems to an equivalent three-wire system without neglecting the impact of the neutral voltage.
{"title":"Impedance modelling for European style Distribution Feeder","authors":"Arpan Koirala, R. D’hulst, D. Van Hertem","doi":"10.1109/SEST.2019.8849015","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849015","url":null,"abstract":"This paper discusses the methods of modelling a European style TT grounded low voltage (LV) distribution system without increasing computational complexity and with increased accuracy. The conventional Kron's reduction neglects the effect of the neutral current return path through the neutral conductor. While a four-wire model gives accurate power flow results with the possibility to monitor the neutral voltage, it also increases the computational burden. In this paper, a novel reduction method is proposed for European style TT grounded low voltage distribution systems to an equivalent three-wire system without neglecting the impact of the neutral voltage.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130568342","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849122
S. Doumen, N. Paterakis
Smart charging of electric vehicles (EVs) could potentially facilitate easing network imbalance and grid over-loading issues that are expected to emerge due to the increase in sustainable energy alternatives in the near future. It has been shown that smart charging is technically possible, however, if there are no positive business cases, it is unlikely to succeed. One of the possible business cases is supplying energy in ancillary services markets. This paper investigates this business case for the Dutch ancillary service markets by determining the investment and operational costs of smart charging a pool of EVs and creating a market participation model that combines EV charging data with market data to calculate the potential profit.
{"title":"Economic Viability of Smart Charging EVs in the Dutch Ancillary Service Markets","authors":"S. Doumen, N. Paterakis","doi":"10.1109/SEST.2019.8849122","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849122","url":null,"abstract":"Smart charging of electric vehicles (EVs) could potentially facilitate easing network imbalance and grid over-loading issues that are expected to emerge due to the increase in sustainable energy alternatives in the near future. It has been shown that smart charging is technically possible, however, if there are no positive business cases, it is unlikely to succeed. One of the possible business cases is supplying energy in ancillary services markets. This paper investigates this business case for the Dutch ancillary service markets by determining the investment and operational costs of smart charging a pool of EVs and creating a market participation model that combines EV charging data with market data to calculate the potential profit.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114214952","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849044
Yang Zhang, A. Mazza, P. Colella, E. Bompard, E. Roggero, G. Galofaro
Annual power outages in distribution network are highly related to the reliability of the power grid and directly affect the customers' satisfaction. The severe weather conditions, increasing loads as well as aging equipment are all potential threatens to the electrical grid infrastructure. A good prediction of the number of outages is essential for the maintenance planning and cost benefit analysis of investment. In order to predict the out-of-service cases in the power grid, the GM (1,1) (first-order Grey Modelling) forecasting method is introduced in this paper. To improve the accuracy of the prediction, the PSO (particle swarm optimization) algorithm is applied for the parameter optimization in the modeling. The number of outages in the next two years of a medium-voltage urban distribution network are predicted based on the records in the past 7 years. The good performance of the simulation results verifies the proposed forecasting method.
{"title":"Prediction of Power Outages in Distribution Network with Grey Theory","authors":"Yang Zhang, A. Mazza, P. Colella, E. Bompard, E. Roggero, G. Galofaro","doi":"10.1109/SEST.2019.8849044","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849044","url":null,"abstract":"Annual power outages in distribution network are highly related to the reliability of the power grid and directly affect the customers' satisfaction. The severe weather conditions, increasing loads as well as aging equipment are all potential threatens to the electrical grid infrastructure. A good prediction of the number of outages is essential for the maintenance planning and cost benefit analysis of investment. In order to predict the out-of-service cases in the power grid, the GM (1,1) (first-order Grey Modelling) forecasting method is introduced in this paper. To improve the accuracy of the prediction, the PSO (particle swarm optimization) algorithm is applied for the parameter optimization in the modeling. The number of outages in the next two years of a medium-voltage urban distribution network are predicted based on the records in the past 7 years. The good performance of the simulation results verifies the proposed forecasting method.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126284935","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849133
F. Milani, Lena Gollowitz, M. Foell, C. Beidl
Cloud computing is a key technology to overcome the computational limitation in vehicles. The focus of existing research works in this field is on the utilization of the cloud's storage and computing resources. In this paper, we address the potential of reducing the energy demand of electronic control units (ECUs) by shifting suitable vehicle functions to the cloud. In consideration of growing electrical energy demand, optimizing energy consumption of ECUs is an important issue. Furthermore, we present a new approach to switch the function execution between cloud and ECU to improve the energy consumption and the time performance.
{"title":"Energy Consumption by Cloud-based Vehicle Functions","authors":"F. Milani, Lena Gollowitz, M. Foell, C. Beidl","doi":"10.1109/SEST.2019.8849133","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849133","url":null,"abstract":"Cloud computing is a key technology to overcome the computational limitation in vehicles. The focus of existing research works in this field is on the utilization of the cloud's storage and computing resources. In this paper, we address the potential of reducing the energy demand of electronic control units (ECUs) by shifting suitable vehicle functions to the cloud. In consideration of growing electrical energy demand, optimizing energy consumption of ECUs is an important issue. Furthermore, we present a new approach to switch the function execution between cloud and ECU to improve the energy consumption and the time performance.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128034629","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849144
C. Wahyudi, N. Hariyanto, R. Ganjavi
Distributed Energy Resources (DER) penetration has a significant impact on the distribution protection system. Current flow during short-circuit and load flow depend on DERs' operating state, generated power, and short-circuits contribution as well as consumer loads. The more DER integration leads to more challenge to maintaining DER, feeder, and substation protections sensitive, selective, with fast response, and optimum reliability. The IEEE 34 Node Test Feeder used and extended by addition of photovoltaic, wind, and energy storage DERs. Consumer loads and DER's generation were extended from static values to typical load and generation profiles, which examined daily, weekly, and seasonal patterns. Protection device settings were calculated selectively in the absence of DERs. Using the method of Protection Security Assessment (PSA), automatically evaluate the correct operation of protection devices in case of different fault scenarios. Three-phase and single-phase metallic faults are applied to validate protection system security. The PSA reassessed DER contribution and influence on protection selectivity. Adaptive rules should fix identified miss-coordinations by modifying protection settings or feeder automation logic. This paper applied adaptive rules to improve protection settings. The PSA method and adaptive rules assumed for implementation in an Advanced Distribution Management System (ADMS).
{"title":"Adaptive Protection of Distribution Systems with DERs Considering Consumer and Generation Profiles","authors":"C. Wahyudi, N. Hariyanto, R. Ganjavi","doi":"10.1109/SEST.2019.8849144","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849144","url":null,"abstract":"Distributed Energy Resources (DER) penetration has a significant impact on the distribution protection system. Current flow during short-circuit and load flow depend on DERs' operating state, generated power, and short-circuits contribution as well as consumer loads. The more DER integration leads to more challenge to maintaining DER, feeder, and substation protections sensitive, selective, with fast response, and optimum reliability. The IEEE 34 Node Test Feeder used and extended by addition of photovoltaic, wind, and energy storage DERs. Consumer loads and DER's generation were extended from static values to typical load and generation profiles, which examined daily, weekly, and seasonal patterns. Protection device settings were calculated selectively in the absence of DERs. Using the method of Protection Security Assessment (PSA), automatically evaluate the correct operation of protection devices in case of different fault scenarios. Three-phase and single-phase metallic faults are applied to validate protection system security. The PSA reassessed DER contribution and influence on protection selectivity. Adaptive rules should fix identified miss-coordinations by modifying protection settings or feeder automation logic. This paper applied adaptive rules to improve protection settings. The PSA method and adaptive rules assumed for implementation in an Advanced Distribution Management System (ADMS).","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131231553","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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