Pub Date : 2018-10-01DOI: 10.1109/isgteurope.2018.8571882
{"title":"2018 IEEE PES ISGT Conference Europe - List of Authors","authors":"","doi":"10.1109/isgteurope.2018.8571882","DOIUrl":"https://doi.org/10.1109/isgteurope.2018.8571882","url":null,"abstract":"","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130921431","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571618
M. Loper, T. Trummal, J. Kilter
This paper presents the results of the study made to analyse the applicability of PMU measurements for power quality (PQ) assessment. Using PMUs to assess the PQ in the power system is becoming more relevant in context of increasing level of power electronic devices in the grid, e.g. HVDC, FACTS, wind and solar power plants, etc., and due to increasing installations and use of PMU measurements. For this study, several test cases were developed and assessments were made based on criteria defined in the IEEE standard C37.118.1-2011. Three PMU units form different manufacturers were tested and the results are presented in the paper. The results indicate that PMU data is suitable for some indicative steady-state PQ assessment. However, assessment of higher harmonics should be done with PMUs that have special modules or estimation algorithms for this kind of purpose.
{"title":"Analysis of the Applicability of PMU Measurements for Power Quality Assessment","authors":"M. Loper, T. Trummal, J. Kilter","doi":"10.1109/ISGTEurope.2018.8571618","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571618","url":null,"abstract":"This paper presents the results of the study made to analyse the applicability of PMU measurements for power quality (PQ) assessment. Using PMUs to assess the PQ in the power system is becoming more relevant in context of increasing level of power electronic devices in the grid, e.g. HVDC, FACTS, wind and solar power plants, etc., and due to increasing installations and use of PMU measurements. For this study, several test cases were developed and assessments were made based on criteria defined in the IEEE standard C37.118.1-2011. Three PMU units form different manufacturers were tested and the results are presented in the paper. The results indicate that PMU data is suitable for some indicative steady-state PQ assessment. However, assessment of higher harmonics should be done with PMUs that have special modules or estimation algorithms for this kind of purpose.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643515","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571900
I. Kouveliotis-Lysikatos, N. Hatziargyriou
The drastic increase of distributed energy resources has inspired the development of decentralized schemes that aim at mitigating the heavy computational burden of centralized control in active distribution grids. In this paper, a novel single-phase distributed load flow tool is developed, that enables the calculation of load flows using only local measurements and exchange of information between electrical neighbours. The Newton-Raphson method is used, with a distributed convex optimization algorithm that avoids the inversion of the Jacobian matrix of the power flow equations and provides a scalable solution. Results are provided that demonstrate the effectiveness of the proposed method.
{"title":"A Distributed Load Flow Solver for Smart Grid Applications","authors":"I. Kouveliotis-Lysikatos, N. Hatziargyriou","doi":"10.1109/ISGTEurope.2018.8571900","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571900","url":null,"abstract":"The drastic increase of distributed energy resources has inspired the development of decentralized schemes that aim at mitigating the heavy computational burden of centralized control in active distribution grids. In this paper, a novel single-phase distributed load flow tool is developed, that enables the calculation of load flows using only local measurements and exchange of information between electrical neighbours. The Newton-Raphson method is used, with a distributed convex optimization algorithm that avoids the inversion of the Jacobian matrix of the power flow equations and provides a scalable solution. Results are provided that demonstrate the effectiveness of the proposed method.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130935331","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571853
Brendan Hayes, F. Milano
Stochastic Differential Algebraic Equations (SDAEs) are used to model power systems. However, there is no universally accepted method to properly evaluate the stability of such models. The theoretical and numerical aspects of the computation of the largest Lyapunov Characteristic Exponent (LCE) for power systems with the inclusion of stochastic processes is discussed as a method to provide a measure of stability. A semi-implicit formulation of power systems is employed in order to exploit parallelism, sparsity and to have low memory requirements. Three case studies are considered, two based on the IEEE 14-bus system as well as a 1,479-bus model of the all island Irish transmission grid.
{"title":"Viable Computation of the Largest Lyapunov Characteristic Exponent for Power Systems","authors":"Brendan Hayes, F. Milano","doi":"10.1109/ISGTEurope.2018.8571853","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571853","url":null,"abstract":"Stochastic Differential Algebraic Equations (SDAEs) are used to model power systems. However, there is no universally accepted method to properly evaluate the stability of such models. The theoretical and numerical aspects of the computation of the largest Lyapunov Characteristic Exponent (LCE) for power systems with the inclusion of stochastic processes is discussed as a method to provide a measure of stability. A semi-implicit formulation of power systems is employed in order to exploit parallelism, sparsity and to have low memory requirements. Three case studies are considered, two based on the IEEE 14-bus system as well as a 1,479-bus model of the all island Irish transmission grid.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132151972","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571644
M. Diekerhof, S. Schwarz, A. Monti
This research analyzes an energy management system installed at an industrial production plant that coordinates a battery storage system in combination with a photovoltaic system for the day-ahead operation. The research quantifies the effect of single objective compared to multiobjective optimization for this photovoltaic-battery storage system using the lexicographic method and real electrical price and electrical demand data from a pilot site installation. The optimization results show a benefit in several metrics for combining multiple grid services using the lexicographic method, but prove the significance of the ranking of the multiple objectives. This ranking has to be done by the decision maker.
{"title":"Multiobjective Optimization for Demand Response Services from a Battery Storage System","authors":"M. Diekerhof, S. Schwarz, A. Monti","doi":"10.1109/ISGTEurope.2018.8571644","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571644","url":null,"abstract":"This research analyzes an energy management system installed at an industrial production plant that coordinates a battery storage system in combination with a photovoltaic system for the day-ahead operation. The research quantifies the effect of single objective compared to multiobjective optimization for this photovoltaic-battery storage system using the lexicographic method and real electrical price and electrical demand data from a pilot site installation. The optimization results show a benefit in several metrics for combining multiple grid services using the lexicographic method, but prove the significance of the ranking of the multiple objectives. This ranking has to be done by the decision maker.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132292957","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571807
Takuma Kogo, A. Viehweider
We propose two schemes for identifying the parameters of models for predicting temperatures in multiple zones of office buildings. Real environments are considered for model predictive control (MPC) used to energy-efficiently operate heating, ventilation, and air conditioning (HVAC) systems. In the first part of this paper, we describe a system model of an HVAC system and the conditions of real office buildings in terms of how to estimate internal heat gain (IHG) and reduce the negative effects of uncertainties, including measurement bias. The following part shows the two schemes for solving these challenges with the key idea that typical patterns of IHG and the degree of influence of uncertainties are known when focusing on office buildings. Furthermore, we evaluated the error in predicting temperature with data measured from a real office building. We achieved a mean absolute error (MAE) of 0.36-0.37°C for 1-day ahead prediction and improved the standard deviation of MAE (27.0%), which was used as robustness measure.
{"title":"Model Identification of HVAC Systems for Office Buildings Considering Real Environment","authors":"Takuma Kogo, A. Viehweider","doi":"10.1109/ISGTEurope.2018.8571807","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571807","url":null,"abstract":"We propose two schemes for identifying the parameters of models for predicting temperatures in multiple zones of office buildings. Real environments are considered for model predictive control (MPC) used to energy-efficiently operate heating, ventilation, and air conditioning (HVAC) systems. In the first part of this paper, we describe a system model of an HVAC system and the conditions of real office buildings in terms of how to estimate internal heat gain (IHG) and reduce the negative effects of uncertainties, including measurement bias. The following part shows the two schemes for solving these challenges with the key idea that typical patterns of IHG and the degree of influence of uncertainties are known when focusing on office buildings. Furthermore, we evaluated the error in predicting temperature with data measured from a real office building. We achieved a mean absolute error (MAE) of 0.36-0.37°C for 1-day ahead prediction and improved the standard deviation of MAE (27.0%), which was used as robustness measure.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114017655","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571819
E. E. Roussineau, Philip Otto, P. Gratzfeld
In order to optimize the power flows within microgrids for high economic profitability, as general rule the energy management systems (EMSs) need as input real-time forecasts of time series that present different levels of seasonality and nonlinear correlations with exogenous variables (e.g. load, prices, energy generation). In this work, a fast and simple procedure that constructs real-time prediction intervals (PIs) for these signals is presented. PIs are constructed using artificial neural networks (ANNs) created through a modified lower-upper bound estimation (LUBE) method and trained with the simulated annealing (SA) algorithm. Focus is placed on explaining in detail the important steps of implementation. The effectiveness of the procedure is shown by creating PIs for the power demand of a transmission system operator (TSO). The resulting forecasting model is a centerpiece for the ongoing development of an application for EMSs within microgrids.
{"title":"Short-Term Forecasting in Electric Power Systems Using Artificial Neural Networks","authors":"E. E. Roussineau, Philip Otto, P. Gratzfeld","doi":"10.1109/ISGTEurope.2018.8571819","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571819","url":null,"abstract":"In order to optimize the power flows within microgrids for high economic profitability, as general rule the energy management systems (EMSs) need as input real-time forecasts of time series that present different levels of seasonality and nonlinear correlations with exogenous variables (e.g. load, prices, energy generation). In this work, a fast and simple procedure that constructs real-time prediction intervals (PIs) for these signals is presented. PIs are constructed using artificial neural networks (ANNs) created through a modified lower-upper bound estimation (LUBE) method and trained with the simulated annealing (SA) algorithm. Focus is placed on explaining in detail the important steps of implementation. The effectiveness of the procedure is shown by creating PIs for the power demand of a transmission system operator (TSO). The resulting forecasting model is a centerpiece for the ongoing development of an application for EMSs within microgrids.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122252658","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571706
Tesfaye Amare, B. Helvik
The future smart distribution grid will be consisting of new components and technologies with enhanced capability whose failure behaviour can not be determined with certainty. In studying the reliability of these distribution grids, it is important to look into various possible failure semantics of the new components and how would they possibly affect the reliability of the distribution grid. This paper aims to investigate/study how the various failure modes of the new components affect the reliability of distribution grids. The focus is on (limited to) reliability evaluation of the feeder protection function of next generation distribution grids considering omission and value type failure semantics. A generic and modular modeling framework based on a stochastic activity networks is used to model the distribution grid. An IEC61850 based automation/substation communication network (SCN) is considered. And, for illustration, different scenarios with different SCN architectures are investigated.
{"title":"Dependability Analysis of Smart Distribution Grid Architectures Considering Various Failure Modes","authors":"Tesfaye Amare, B. Helvik","doi":"10.1109/ISGTEurope.2018.8571706","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571706","url":null,"abstract":"The future smart distribution grid will be consisting of new components and technologies with enhanced capability whose failure behaviour can not be determined with certainty. In studying the reliability of these distribution grids, it is important to look into various possible failure semantics of the new components and how would they possibly affect the reliability of the distribution grid. This paper aims to investigate/study how the various failure modes of the new components affect the reliability of distribution grids. The focus is on (limited to) reliability evaluation of the feeder protection function of next generation distribution grids considering omission and value type failure semantics. A generic and modular modeling framework based on a stochastic activity networks is used to model the distribution grid. An IEC61850 based automation/substation communication network (SCN) is considered. And, for illustration, different scenarios with different SCN architectures are investigated.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125885251","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571732
Y. Xing, B. Marinescu, M. Belhocine, F. Xavier
This paper addresses the problem of damping interarea oscillations via power modulation of a VSC-HVDC link integrated in a power AC grid. Motivated by the fact that interarea modes may be at higher frequencies, close to other modes of the system, and classic tuning methods of standard (IEEE) power oscillations damping controller structures may not give satisfactory results. A reduced order model of a meshed AC grid with a HVDC link is proposed for control design. Based on this model which carefully integrates the dynamics of interest, a robust controller for the HVDC link is designed to damp interarea oscillations and enhance the damping of the other modes. Investigations with both linearized and nonlinear model of the system are carried out to settle and validate the approach. The efficiency and robustness of the proposed controller are tested and compared with standard controller structures.
{"title":"Power Oscillations Damping Controller for HVDC Inserted in Meshed AC Grids","authors":"Y. Xing, B. Marinescu, M. Belhocine, F. Xavier","doi":"10.1109/ISGTEurope.2018.8571732","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571732","url":null,"abstract":"This paper addresses the problem of damping interarea oscillations via power modulation of a VSC-HVDC link integrated in a power AC grid. Motivated by the fact that interarea modes may be at higher frequencies, close to other modes of the system, and classic tuning methods of standard (IEEE) power oscillations damping controller structures may not give satisfactory results. A reduced order model of a meshed AC grid with a HVDC link is proposed for control design. Based on this model which carefully integrates the dynamics of interest, a robust controller for the HVDC link is designed to damp interarea oscillations and enhance the damping of the other modes. Investigations with both linearized and nonlinear model of the system are carried out to settle and validate the approach. The efficiency and robustness of the proposed controller are tested and compared with standard controller structures.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125237938","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 : 2018-10-01DOI: 10.1109/ISGTEurope.2018.8571430
A. Prabakar, Lei Wu, Lars Zwanepol, N. V. Velzen, D. Djairam
As the effects of climate change are becoming more and more evident, the correlation between climate and consumption of energy has become a growing concern in the world. Researchers have been exploring possibilities to include weather influence on electricity consumption forecasts. However, no published approaches have been applied to produce accurate predictions of electricity consumption for the Netherlands using dynamic hourly based weather data. One of the reasons could be that those published approaches were developed with data of other countries. This limits their applicability for the case of the Netherlands. Therefore, this paper introduces a novel approach, which uses various weather variables (wind speed, temperature, air pressure, and humidity) measured at different locations in the Netherlands. With dedicatedly designed machine learning architectures, this paper presents a model that incorporates the influences of the dynamic weather variables on hourly-based electricity consumption using only publicly accessible data. The approach was implemented using a common laptop. The accuracy of the proposed approach is also discussed. Future work for developing a practically implementable model to predict the electricity consumption is discussed in the end.
{"title":"Applying Machine Learning to Study the Relationship Between Electricity Consumption and Weather Variables Using Open Data","authors":"A. Prabakar, Lei Wu, Lars Zwanepol, N. V. Velzen, D. Djairam","doi":"10.1109/ISGTEurope.2018.8571430","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2018.8571430","url":null,"abstract":"As the effects of climate change are becoming more and more evident, the correlation between climate and consumption of energy has become a growing concern in the world. Researchers have been exploring possibilities to include weather influence on electricity consumption forecasts. However, no published approaches have been applied to produce accurate predictions of electricity consumption for the Netherlands using dynamic hourly based weather data. One of the reasons could be that those published approaches were developed with data of other countries. This limits their applicability for the case of the Netherlands. Therefore, this paper introduces a novel approach, which uses various weather variables (wind speed, temperature, air pressure, and humidity) measured at different locations in the Netherlands. With dedicatedly designed machine learning architectures, this paper presents a model that incorporates the influences of the dynamic weather variables on hourly-based electricity consumption using only publicly accessible data. The approach was implemented using a common laptop. The accuracy of the proposed approach is also discussed. Future work for developing a practically implementable model to predict the electricity consumption is discussed in the end.","PeriodicalId":302863,"journal":{"name":"2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840859","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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