Pub Date : 2015-10-15DOI: 10.5220/0005437301480156
S. Ali, M. Naveed, F. Javed, N. Arshad, J. Ikram
Smart grids coulpled with effiicient demand side management (DSM) is an important step for greener cities of the future. DSM has the potential to significantly improve smart grid operations by reducing the peak to average ratio. Current DSM schemes are able to reduce peak load by as much as 30% which can translate to significant cost savings and reduction in green house emissions. But for realistic deployment of DSM systems in the grid there are two very important aspects which need to be considered: scalability and user acceptability. Since the current DSM algorithms are required to control potentially hundreds of thousands of devices, they have to be scalable and tractable for such myriad numbers. On the other hand DSM affects the life style of the consumer and this should be as less disruptive as possible. The various DSM techniques proposed in the literature attempt to first reduce the cost and then attempt to resolve one of the two aforementioned aspects. The result is that the techniques are either scalable or are only considerate of the deadlines of the consumers. An ideal system should cater to both of these aspects. Our system Deli2P is user centric and scalable thus catering to both of these aspects. Essentially we provide to the consumer a deadline centric interface. The deadlines solutions are generally not scalable. But instead of solving this problem as a scheduling for deadline problem we transform the problem to a priority-based problem thus making it scalable for large number of devices. Our results show that with this scheme we can reduce peak power by upto 30% but without violating consumers' deadlines.
{"title":"DeLi2P: A user centric, scalable demand side management strategy for smart grids","authors":"S. Ali, M. Naveed, F. Javed, N. Arshad, J. Ikram","doi":"10.5220/0005437301480156","DOIUrl":"https://doi.org/10.5220/0005437301480156","url":null,"abstract":"Smart grids coulpled with effiicient demand side management (DSM) is an important step for greener cities of the future. DSM has the potential to significantly improve smart grid operations by reducing the peak to average ratio. Current DSM schemes are able to reduce peak load by as much as 30% which can translate to significant cost savings and reduction in green house emissions. But for realistic deployment of DSM systems in the grid there are two very important aspects which need to be considered: scalability and user acceptability. Since the current DSM algorithms are required to control potentially hundreds of thousands of devices, they have to be scalable and tractable for such myriad numbers. On the other hand DSM affects the life style of the consumer and this should be as less disruptive as possible. The various DSM techniques proposed in the literature attempt to first reduce the cost and then attempt to resolve one of the two aforementioned aspects. The result is that the techniques are either scalable or are only considerate of the deadlines of the consumers. An ideal system should cater to both of these aspects. Our system Deli2P is user centric and scalable thus catering to both of these aspects. Essentially we provide to the consumer a deadline centric interface. The deadlines solutions are generally not scalable. But instead of solving this problem as a scheduling for deadline problem we transform the problem to a priority-based problem thus making it scalable for large number of devices. Our results show that with this scheme we can reduce peak power by upto 30% but without violating consumers' deadlines.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133208021","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 : 2015-05-20DOI: 10.5220/0005445501670173
A. Grilo, M. Nunes
This paper presents two droop-based voltage control algorithms that try to achieve maximum generation by Distributed Energy Resources (DERs), while keeping the voltage levels within the operating limits. One of the algorithms is based on gradual adaptation using small power increments/decrements, while the other algorithm is based on a linear approximation of the function that relates the generated power with the voltage measured at the DER coupling point. These algorithms were comparatively evaluated against a state-of-the-art connect/disconnect scheme and an optimal centralized algorithm. Simulation results show that the performance of the proposed distributed algorithms approaches that of the centralized algorithm, with the incremental algorithm presenting faster convergence than the linear algorithm.
{"title":"Voltage control with local decisions in low voltage distribution grids with DER penetration","authors":"A. Grilo, M. Nunes","doi":"10.5220/0005445501670173","DOIUrl":"https://doi.org/10.5220/0005445501670173","url":null,"abstract":"This paper presents two droop-based voltage control algorithms that try to achieve maximum generation by Distributed Energy Resources (DERs), while keeping the voltage levels within the operating limits. One of the algorithms is based on gradual adaptation using small power increments/decrements, while the other algorithm is based on a linear approximation of the function that relates the generated power with the voltage measured at the DER coupling point. These algorithms were comparatively evaluated against a state-of-the-art connect/disconnect scheme and an optimal centralized algorithm. Simulation results show that the performance of the proposed distributed algorithms approaches that of the centralized algorithm, with the incremental algorithm presenting faster convergence than the linear algorithm.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"86 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120926757","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 : 2015-05-20DOI: 10.5220/0005487403880394
Nicolas Beldiceanu, Barbara Dumas Feris, P. Gravey, Md. Sabbir Hasan, C. Jard, T. Ledoux, Yunbo Li, D. Lime, Gilles Madi-Wamba, Jean-Marc Menaud, P. Morel, M. Morvan, M. Moulinard, Anne-Cécile Orgerie, Jean-Louis Pazat, O. Roux, A. Sharaiha
With the emergence of the Future Internet and the dawning of new IT models such as cloud computing, the usage of data centers (DC), and consequently their power consumption, increase dramatically. Besides the ecological impact, the energy consumption is a predominant criteria for DC providers since it determines the daily cost of their infrastructure. As a consequence, power management becomes one of the main challenges for DC infrastructures and more generally for large-scale distributed systems. In this paper, we present the EPOC project which focuses on optimizing the energy consumption of mono-site DCs connected to the regular electrical grid and to renewable energy sources.
{"title":"The EPOC project: Energy proportional and opportunistic computing system","authors":"Nicolas Beldiceanu, Barbara Dumas Feris, P. Gravey, Md. Sabbir Hasan, C. Jard, T. Ledoux, Yunbo Li, D. Lime, Gilles Madi-Wamba, Jean-Marc Menaud, P. Morel, M. Morvan, M. Moulinard, Anne-Cécile Orgerie, Jean-Louis Pazat, O. Roux, A. Sharaiha","doi":"10.5220/0005487403880394","DOIUrl":"https://doi.org/10.5220/0005487403880394","url":null,"abstract":"With the emergence of the Future Internet and the dawning of new IT models such as cloud computing, the usage of data centers (DC), and consequently their power consumption, increase dramatically. Besides the ecological impact, the energy consumption is a predominant criteria for DC providers since it determines the daily cost of their infrastructure. As a consequence, power management becomes one of the main challenges for DC infrastructures and more generally for large-scale distributed systems. In this paper, we present the EPOC project which focuses on optimizing the energy consumption of mono-site DCs connected to the regular electrical grid and to renewable energy sources.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126063165","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 : 2015-05-20DOI: 10.5220/0005453601740184
A. Kollias, I. Nikolaidis
Energy-aware routing schemes in wireless sensor networks (WSNs) often employ artificial energy assumptions, e.g., equal initial energy reserves for all nodes. Instead, we consider the case of realistic energy reserves collected via thermoelectric energy harvesting in an apartment complex and examine how the harvested energy impacts routing decisions over relatively large time frames. We formulate the corresponding multi-commodity routing flow problem and, using real observed data, remark that maximizing the volume of collected data typically leads to an uneven collection from each sensor. We propose a corresponding adjustment to the optimization problem to derive a “fair” data collection strategy. We additionally present a low overhead method of constructing a seasonally-aware routing scheme and study its performance. We compare the seasonally-aware routing performance against that of an ideal, centralized, optimization solution, as well as against a simple strategy to avoid extreme variance of residual energy at the sensor nodes.
{"title":"Seasonally aware routing for thermoelectric energy harvesting wireless sensor networks","authors":"A. Kollias, I. Nikolaidis","doi":"10.5220/0005453601740184","DOIUrl":"https://doi.org/10.5220/0005453601740184","url":null,"abstract":"Energy-aware routing schemes in wireless sensor networks (WSNs) often employ artificial energy assumptions, e.g., equal initial energy reserves for all nodes. Instead, we consider the case of realistic energy reserves collected via thermoelectric energy harvesting in an apartment complex and examine how the harvested energy impacts routing decisions over relatively large time frames. We formulate the corresponding multi-commodity routing flow problem and, using real observed data, remark that maximizing the volume of collected data typically leads to an uneven collection from each sensor. We propose a corresponding adjustment to the optimization problem to derive a “fair” data collection strategy. We additionally present a low overhead method of constructing a seasonally-aware routing scheme and study its performance. We compare the seasonally-aware routing performance against that of an ideal, centralized, optimization solution, as well as against a simple strategy to avoid extreme variance of residual energy at the sensor nodes.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116093153","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 : 2015-05-20DOI: 10.5220/0005411503170323
Markus C. Beutel, Sebastian Addicks, B. Zaunbrecher, S. Himmel, Karl-Heinz Krempels, M. Ziefle
Fostering the usage of alternative mobility modes, e.g., carsharing or carpooling becomes more and more urgent in modern urban planning. Politicians and city planners have already recognized that putting targeted incentives can influence people;s mobility behavior in an effective way. Agent-based simulations of transportation demand can be a valuable tool to support these planning processes. This work is based on a state-of-the-art transportation demand simulation and shows modeling and simulation modifications related with agents under the influence of incentives. These agents have been assessed in qualitative and quantitative studies prior to the simulation. Results show that agent-based simulation of transportation demand is suitable to evaluate impacts of transportation demand management measures. More specifically, all investigated measures show certain impacts on mobility mode choice, at which an incentive combination is most effective.
{"title":"Agent-based transportation: Demand management demand effects of reserved parking space and priority lanes in comparison and combination","authors":"Markus C. Beutel, Sebastian Addicks, B. Zaunbrecher, S. Himmel, Karl-Heinz Krempels, M. Ziefle","doi":"10.5220/0005411503170323","DOIUrl":"https://doi.org/10.5220/0005411503170323","url":null,"abstract":"Fostering the usage of alternative mobility modes, e.g., carsharing or carpooling becomes more and more urgent in modern urban planning. Politicians and city planners have already recognized that putting targeted incentives can influence people;s mobility behavior in an effective way. Agent-based simulations of transportation demand can be a valuable tool to support these planning processes. This work is based on a state-of-the-art transportation demand simulation and shows modeling and simulation modifications related with agents under the influence of incentives. These agents have been assessed in qualitative and quantitative studies prior to the simulation. Results show that agent-based simulation of transportation demand is suitable to evaluate impacts of transportation demand management measures. More specifically, all investigated measures show certain impacts on mobility mode choice, at which an incentive combination is most effective.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114546832","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 : 2015-05-20DOI: 10.5220/0005484903760381
Anne-Cécile Orgerie
Cloud computing is becoming an essential component for Internet services. However, its energy consumption has become a key environmental and economic concern. The distributed nature of Cloud infrastructures involves that their components are spread across wide areas, interconnected through different networks, and powered by diverse energy sources and providers, making overall energy monitoring and optimizations challenging. In this paper, we present the opportunity brought by the Smart Grids to exploit renewable energy availability and to optimize energy management in distributed Clouds. The presence of smart sensors which are both integrated into the electricity Grid and connected to the Internet, indeed offers for the first time the possibility of exploiting the availability of various energy sources, and of making complete energy measurements of all the Cloud resources — computing, storage and especially networking resources — problems which have previously been intractable.
{"title":"Interconnecting smart grids and clouds to save energy","authors":"Anne-Cécile Orgerie","doi":"10.5220/0005484903760381","DOIUrl":"https://doi.org/10.5220/0005484903760381","url":null,"abstract":"Cloud computing is becoming an essential component for Internet services. However, its energy consumption has become a key environmental and economic concern. The distributed nature of Cloud infrastructures involves that their components are spread across wide areas, interconnected through different networks, and powered by diverse energy sources and providers, making overall energy monitoring and optimizations challenging. In this paper, we present the opportunity brought by the Smart Grids to exploit renewable energy availability and to optimize energy management in distributed Clouds. The presence of smart sensors which are both integrated into the electricity Grid and connected to the Internet, indeed offers for the first time the possibility of exploiting the availability of various energy sources, and of making complete energy measurements of all the Cloud resources — computing, storage and especially networking resources — problems which have previously been intractable.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129783914","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 : 2015-05-20DOI: 10.5220/0005448903240332
S. Bessler, Domagoj Drenjanac, E. Hasenleithner, Suhail Ahmed-Khan, N. Silva
Flexibility information that characterizes the energy consumption of certain loads with electric or thermal storage has been recently proposed as a means for energy management in the electric grid. In this paper we propose an energy management architecture that allows the grid operator to learn and use the consumption flexibility of its users. Starting on the home asset level, we describe flexibility models for EV charging and HVAC and their aggregation at the household and low voltage grid level. Here, the aggregated energy controller determines power references (set points) for each household controller. Since voltage limits might be violated by the energy balancing actions, we include a power flow calculation in the optimization model to keep the voltages and currents within the limits. In simulation experiments with a 42 bus radial grid, we are able to support higher household loads by individual scheduling, without falling below voltage limits.
{"title":"Using flexibility information for energy demand optimization in the low voltage grid","authors":"S. Bessler, Domagoj Drenjanac, E. Hasenleithner, Suhail Ahmed-Khan, N. Silva","doi":"10.5220/0005448903240332","DOIUrl":"https://doi.org/10.5220/0005448903240332","url":null,"abstract":"Flexibility information that characterizes the energy consumption of certain loads with electric or thermal storage has been recently proposed as a means for energy management in the electric grid. In this paper we propose an energy management architecture that allows the grid operator to learn and use the consumption flexibility of its users. Starting on the home asset level, we describe flexibility models for EV charging and HVAC and their aggregation at the household and low voltage grid level. Here, the aggregated energy controller determines power references (set points) for each household controller. Since voltage limits might be violated by the energy balancing actions, we include a power flow calculation in the optimization model to keep the voltages and currents within the limits. In simulation experiments with a 42 bus radial grid, we are able to support higher household loads by individual scheduling, without falling below voltage limits.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116143486","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 : 2015-05-20DOI: 10.5220/0005454002500255
M. Ramesh, N. Mohan, A. R. Devidas
One of the major problems power grids system face today is the inability to continuously deliver power at the consumer side. The main reason for this is the occurrence of faults and its long term persistence within the system. This persistence of faults causes the cascading failure of the system, thereby adversely affecting the connected loads. Traditional methods of fault isolation cause the shutdown of power to a large area to maintain the system stability. Today, localization of faults and its isolation is doing manually. Therefore, a localized fault recovery mechanism is very essential to maintain the system;s stability after the occurrence of a fault. In this paper, we have developed fast fault detection and isolation mechanism for single phase to neutral line fault in a three phase islanded micro grid scenario. The fault detection and isolation during the islanded operation mode of a micro grid is very critical, since bidirectional power flow is present. The fault detection mechanism we developed can detect and isolate the fault within a few milliseconds and localize the fault within a two second delay for both in single and bi-directional power flow scenarios. The proposed system is capable of locating the exact faulted segment with the aid of the communication network integrated into the power grid. The implemented system was tested with different ranges of fault current and the analysis showed that the proposed system could localize the fault with less than a two second delay.
{"title":"Micro grid architecture for line fault detection and isolation","authors":"M. Ramesh, N. Mohan, A. R. Devidas","doi":"10.5220/0005454002500255","DOIUrl":"https://doi.org/10.5220/0005454002500255","url":null,"abstract":"One of the major problems power grids system face today is the inability to continuously deliver power at the consumer side. The main reason for this is the occurrence of faults and its long term persistence within the system. This persistence of faults causes the cascading failure of the system, thereby adversely affecting the connected loads. Traditional methods of fault isolation cause the shutdown of power to a large area to maintain the system stability. Today, localization of faults and its isolation is doing manually. Therefore, a localized fault recovery mechanism is very essential to maintain the system;s stability after the occurrence of a fault. In this paper, we have developed fast fault detection and isolation mechanism for single phase to neutral line fault in a three phase islanded micro grid scenario. The fault detection and isolation during the islanded operation mode of a micro grid is very critical, since bidirectional power flow is present. The fault detection mechanism we developed can detect and isolate the fault within a few milliseconds and localize the fault within a two second delay for both in single and bi-directional power flow scenarios. The proposed system is capable of locating the exact faulted segment with the aid of the communication network integrated into the power grid. The implemented system was tested with different ranges of fault current and the analysis showed that the proposed system could localize the fault with less than a two second delay.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130070496","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 : 2015-05-20DOI: 10.5220/0005422800510059
G. Anadiotis, E. Hatzoplaki, K. Tsatsakis, T. Tsitsanis
Integrating Energy Management Systems is a necessary task in order to be able to offer a range of services for citizens and public authorities. This task requires integration at the data level in order to expose data coming from different systems in a unified way. In this paper we describe the creation of a Common Information Model to unify disparate Energy Management Systems in the context of the BESOS project. We identify related work, describe design decisions and methodology and give an outline of the data model itself, based on profiling and extending the IEC 61970 standard.
{"title":"A data model for energy decision support systems for smart cities: The case of BESOS common information model","authors":"G. Anadiotis, E. Hatzoplaki, K. Tsatsakis, T. Tsitsanis","doi":"10.5220/0005422800510059","DOIUrl":"https://doi.org/10.5220/0005422800510059","url":null,"abstract":"Integrating Energy Management Systems is a necessary task in order to be able to offer a range of services for citizens and public authorities. This task requires integration at the data level in order to expose data coming from different systems in a unified way. In this paper we describe the creation of a Common Information Model to unify disparate Energy Management Systems in the context of the BESOS project. We identify related work, describe design decisions and methodology and give an outline of the data model itself, based on profiling and extending the IEC 61970 standard.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130479381","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 : 2015-05-20DOI: 10.5220/0005453801850192
Richard Barella, D. Nguyen, Ryan Winter, K.-T. Lu, S. Wallace, Xinghui Zhao, E. C. Sanchez
Phasor measurement units (PMUs) are widely used in power transmission systems to provide synchronized measurements for the purpose of fault detection. However, how to efficiently deploy those devices across a power grid — so that a comprehensive coverage can be provided at a relatively low cost — remains a challenge. In this paper, we present a sensitivity study of a PMU-based fault detection method using three different distance metrics. This study can serve as a guideline for efficient PMU deployment. To illustrate the effectiveness of this approach, we have derived an alternative PMU placement plan for a power grid. Experimental results show that our PMU placement reduces the required PMU deployment by more than 80% as compared to the original placement, yet still provides similar level of accuracy in fault detection.
{"title":"A sensitivity study of PMU-based fault detection on smart grid","authors":"Richard Barella, D. Nguyen, Ryan Winter, K.-T. Lu, S. Wallace, Xinghui Zhao, E. C. Sanchez","doi":"10.5220/0005453801850192","DOIUrl":"https://doi.org/10.5220/0005453801850192","url":null,"abstract":"Phasor measurement units (PMUs) are widely used in power transmission systems to provide synchronized measurements for the purpose of fault detection. However, how to efficiently deploy those devices across a power grid — so that a comprehensive coverage can be provided at a relatively low cost — remains a challenge. In this paper, we present a sensitivity study of a PMU-based fault detection method using three different distance metrics. This study can serve as a guideline for efficient PMU deployment. To illustrate the effectiveness of this approach, we have derived an alternative PMU placement plan for a power grid. Experimental results show that our PMU placement reduces the required PMU deployment by more than 80% as compared to the original placement, yet still provides similar level of accuracy in fault detection.","PeriodicalId":408526,"journal":{"name":"2015 International Conference on Smart Cities and Green ICT Systems (SMARTGREENS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127912056","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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