Pub Date : 2014-10-23DOI: 10.1109/UPEC.2014.6934615
S. Tolboom, L. A. Hurtado, P. Nguyen, B. Vonk, W. Kling
Though the built environment represents a considerable amount of the total energy demand in cities, building operation still causes higher energy consumption than needed. Meanwhile, building's on-site generation has not been coupled properly with the building energy management system (BEMS). The supply demand problem is addressed in the energy management and becomes highly complex with the introduction of Distributed Energy Resources (DER). It is important to ensure an optimal allocation of the generated energy, a scarce resource, among the potential consuming devices. This paper facilitates the integration of DER in the built environment and ensures the optimal allocation of the generated energy by using a Multi-Agent System and two different decision making strategies.
{"title":"Resource allocation of on-site PV production within the built environment","authors":"S. Tolboom, L. A. Hurtado, P. Nguyen, B. Vonk, W. Kling","doi":"10.1109/UPEC.2014.6934615","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934615","url":null,"abstract":"Though the built environment represents a considerable amount of the total energy demand in cities, building operation still causes higher energy consumption than needed. Meanwhile, building's on-site generation has not been coupled properly with the building energy management system (BEMS). The supply demand problem is addressed in the energy management and becomes highly complex with the introduction of Distributed Energy Resources (DER). It is important to ensure an optimal allocation of the generated energy, a scarce resource, among the potential consuming devices. This paper facilitates the integration of DER in the built environment and ensures the optimal allocation of the generated energy by using a Multi-Agent System and two different decision making strategies.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126702055","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934821
Niculai Stanciu, Dorel Stanescu, I. Dobre, P. Postolache
Evaluation of PQ parameters is made by means of the results of measurements. Because the evaluation of PQ parameters must be reasonable, the results of measurements must have a adequate confidence level. In this sense, have been established a number of requirements that are specified, for each PQ parameter, in IEC 50160:2010, IEC 61000-4-30:2008 and other related standards. One of the essential requirements, to measuring PQ parameters, is to ensure the measurement uncertainty specified in the standards. Since measurements are always accompanied by errors is very important for us to know the physical phenomenon, measurand and measuring conditions, for to act in minimizing the influence of errors. The accuracy and precision of measurement results in PQ, as well and their levels of confidence are various and depend on the determinations purpose. From this perspective, in IEC 61000-4-30:2008 are defined the classes of measurement methods (Class A, Class S and Class B) and the levels of uncertainty for each parameter PQ, [1].
{"title":"Confidence levels in measuring the parameters of PQ. A case study","authors":"Niculai Stanciu, Dorel Stanescu, I. Dobre, P. Postolache","doi":"10.1109/UPEC.2014.6934821","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934821","url":null,"abstract":"Evaluation of PQ parameters is made by means of the results of measurements. Because the evaluation of PQ parameters must be reasonable, the results of measurements must have a adequate confidence level. In this sense, have been established a number of requirements that are specified, for each PQ parameter, in IEC 50160:2010, IEC 61000-4-30:2008 and other related standards. One of the essential requirements, to measuring PQ parameters, is to ensure the measurement uncertainty specified in the standards. Since measurements are always accompanied by errors is very important for us to know the physical phenomenon, measurand and measuring conditions, for to act in minimizing the influence of errors. The accuracy and precision of measurement results in PQ, as well and their levels of confidence are various and depend on the determinations purpose. From this perspective, in IEC 61000-4-30:2008 are defined the classes of measurement methods (Class A, Class S and Class B) and the levels of uncertainty for each parameter PQ, [1].","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"12 Suppl 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123202383","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934714
S. V. Levinzon, Natalia V. Tsarkova, D. Melnikov
Considered and highlighted the strengths and weaknesses of different approaches for laboratory research in the field of electrical engineering, building on the existing Federal education standards. Shows how the laboratory practical work using combined studying is realized, on the example of multimedia laboratory of the German firm Lucas Nulle on specific activities in electrical engineering. Focused on the perception of European equipment by students of the Russian Federation. Conclusions are given.
{"title":"Use of the modern stand equipment in the educational process in the course «electrical engineering»","authors":"S. V. Levinzon, Natalia V. Tsarkova, D. Melnikov","doi":"10.1109/UPEC.2014.6934714","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934714","url":null,"abstract":"Considered and highlighted the strengths and weaknesses of different approaches for laboratory research in the field of electrical engineering, building on the existing Federal education standards. Shows how the laboratory practical work using combined studying is realized, on the example of multimedia laboratory of the German firm Lucas Nulle on specific activities in electrical engineering. Focused on the perception of European equipment by students of the Russian Federation. Conclusions are given.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126454181","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934761
K. Ahmed, M. Ampatzis, P. Nguyen, W. Kling
In the context of the smart grid, scheduling residential energy storage device is necessary to optimize technical and market integration of distributed energy resources (DERs), especially the ones based on renewable energy. The first step to achieve proper scheduling of the storage devices is electricity consumption forecasting at individual household level. This paper compares the forecasting ability of Artificial Neural Network (ANN) and AutoRegressive Integrated Moving Average (ARIMA) model. The benefit of proper storage scheduling is demonstrated via a use-case. The work is a part of a project focused on photovoltaic generation with integrated energy storage at household level. The methods under study attempt to capture the daily electricity consumption profile of an individual household.
{"title":"Application of time-series and Artificial Neural Network models in short term load forecasting for scheduling of storage devices","authors":"K. Ahmed, M. Ampatzis, P. Nguyen, W. Kling","doi":"10.1109/UPEC.2014.6934761","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934761","url":null,"abstract":"In the context of the smart grid, scheduling residential energy storage device is necessary to optimize technical and market integration of distributed energy resources (DERs), especially the ones based on renewable energy. The first step to achieve proper scheduling of the storage devices is electricity consumption forecasting at individual household level. This paper compares the forecasting ability of Artificial Neural Network (ANN) and AutoRegressive Integrated Moving Average (ARIMA) model. The benefit of proper storage scheduling is demonstrated via a use-case. The work is a part of a project focused on photovoltaic generation with integrated energy storage at household level. The methods under study attempt to capture the daily electricity consumption profile of an individual household.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125820995","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934743
A. Elansari, J. Burr, S. Finney, M. Edrah
Flexible AC Transmission Systems (FACTS) have been used to improve voltage stability and to increase Total Transfer Capability (TTC) of transmission systems. Shunt injected reactive power compensation such as Mechanically Switched Capacitors (MSC), Static VAr Compensators (SVC) and Static Synchronous Compensators (STATCOM) are widely used as practical and cost effective solutions to improve transmission line performance. This paper illustrates a new approach to determine optimal location for VAr shunt compensation as a measure to maintain system voltages within acceptable levels which leads to losses reduction, increased system utilization and improved stability. This paper introduces a new method to determine optimal location for shunt compensator devices considering both economic and security aspects. The Kundur two area test system is used to evaluate and validate the new algorithm using NEPLAN power system analysis tool. The results show the effectiveness of the new method to determine the optimal location for shunt VAr compensation.
{"title":"Optimal location for shunt connected reactive power compensation","authors":"A. Elansari, J. Burr, S. Finney, M. Edrah","doi":"10.1109/UPEC.2014.6934743","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934743","url":null,"abstract":"Flexible AC Transmission Systems (FACTS) have been used to improve voltage stability and to increase Total Transfer Capability (TTC) of transmission systems. Shunt injected reactive power compensation such as Mechanically Switched Capacitors (MSC), Static VAr Compensators (SVC) and Static Synchronous Compensators (STATCOM) are widely used as practical and cost effective solutions to improve transmission line performance. This paper illustrates a new approach to determine optimal location for VAr shunt compensation as a measure to maintain system voltages within acceptable levels which leads to losses reduction, increased system utilization and improved stability. This paper introduces a new method to determine optimal location for shunt compensator devices considering both economic and security aspects. The Kundur two area test system is used to evaluate and validate the new algorithm using NEPLAN power system analysis tool. The results show the effectiveness of the new method to determine the optimal location for shunt VAr compensation.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115280368","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934618
E. Guillo‐Sansano, A. Roscoe, C. Jones, G. Burt
In an attempt to create a new control method for the power interface in PHIL simulations, a simulated PHIL simulation is carried out where the simulation and hardware part are modelled in MATLAB/Simulink along with the new control method. This power interface control is proposed to achieve high accuracy in PHIL simulation with closed-loop control for aerospace, marine or micro grid applications. Rather than analyzing the Real Time Simulator (RTS) data and controlling the interface using time-domain resonant controllers, the RTS data will be analyzed and controlled at the interface in the frequency domain, on a harmonic-by-harmonic and phase-by-phase basis. This should allow the RTS time delay to be compensated accurately, and removes the requirement to include additional components to compensate for the simulation delay into the simulated power system as it is not appropriate for power systems which have short transmission lines. This is extremely relevant for marine and micro grid scenarios where such inductive components may not be present.
{"title":"A new control method for the power interface in power hardware-in-the-loop simulation to compensate for the time delay","authors":"E. Guillo‐Sansano, A. Roscoe, C. Jones, G. Burt","doi":"10.1109/UPEC.2014.6934618","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934618","url":null,"abstract":"In an attempt to create a new control method for the power interface in PHIL simulations, a simulated PHIL simulation is carried out where the simulation and hardware part are modelled in MATLAB/Simulink along with the new control method. This power interface control is proposed to achieve high accuracy in PHIL simulation with closed-loop control for aerospace, marine or micro grid applications. Rather than analyzing the Real Time Simulator (RTS) data and controlling the interface using time-domain resonant controllers, the RTS data will be analyzed and controlled at the interface in the frequency domain, on a harmonic-by-harmonic and phase-by-phase basis. This should allow the RTS time delay to be compensated accurately, and removes the requirement to include additional components to compensate for the simulation delay into the simulated power system as it is not appropriate for power systems which have short transmission lines. This is extremely relevant for marine and micro grid scenarios where such inductive components may not be present.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124985849","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934723
M. Grond, Jip I. P. Pouw, J. Morren, H. Slootweg
Distribution network operators require more advanced planning tools to deal with the challenges of future network planning. An appropriate planning and optimization tool can identify which option for network extension should be selected from available alternatives. However, the evaluation part in these optimization approaches results in many power flow calculations, especially in case of networks which need evaluation of reconfigurability capacity. An iterative approach like the generally accepted AC power flow is a relatively computational expensive evaluation method. Therefore, it is investigated if a linear power flow method with line outage distribution factors (LODFs) can be applied. This paper identifies the trade-off in speed and accuracy of LODFs regarding the evaluation of reconfigurable medium voltage distribution networks.
{"title":"Applicability of line outage distribution factors to evaluate distribution network expansion options","authors":"M. Grond, Jip I. P. Pouw, J. Morren, H. Slootweg","doi":"10.1109/UPEC.2014.6934723","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934723","url":null,"abstract":"Distribution network operators require more advanced planning tools to deal with the challenges of future network planning. An appropriate planning and optimization tool can identify which option for network extension should be selected from available alternatives. However, the evaluation part in these optimization approaches results in many power flow calculations, especially in case of networks which need evaluation of reconfigurability capacity. An iterative approach like the generally accepted AC power flow is a relatively computational expensive evaluation method. Therefore, it is investigated if a linear power flow method with line outage distribution factors (LODFs) can be applied. This paper identifies the trade-off in speed and accuracy of LODFs regarding the evaluation of reconfigurable medium voltage distribution networks.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122720266","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934787
Y. Hegazy, Mahmoud M. Othman, W. El-Khattam, A. Abdelaziz
The concept of integrating small generating units in the power system attracted the attention in the last few decades. Distributed generator (DG) reinforces the main generating station in covering the growing power demand. DG can be connected or disconnected easily from the network unlike the main power stations, thus providing higher flexibility. Good planned and operated DG has many benefits as economic savings, decrement of power losses, greater reliability and higher power quality. Optimal location and capacity of DGs plays a pivotal rule in achievement of gaining the maximum benefits from DGs, on the other side improper placement or sizing of DGs may cause undesirable effects. This paper applies the Big Bang Big Crunch optimization algorithm on balanced/ unbalanced distribution networks for optimal placement and sizing of distributed generators. The proposed algorithm deals with the optimization problems incorporating voltage controlled distributed generators for the sake of power loss minimization. The proposed algorithm is implemented in MATLAB environment and tested on the 69-bus feeder system and the IEEE 37-node feeder. Validation of the proposed method is done via comparing the results with published results obtained from other competing methods.
在过去的几十年里，将小型发电机组集成到电力系统中的概念引起了人们的关注。分布式发电机(DG)加强了主发电站，以满足日益增长的电力需求。与主电站不同，DG可以很容易地与电网连接或断开，从而提供更高的灵活性。良好的规划和运行的DG具有许多好处，如节约经济，减少电力损失，提高可靠性和更高的电力质量。dg的最佳位置和容量是实现dg效益最大化的关键，但dg的位置和尺寸不当也会产生不良影响。本文将Big Bang Big Crunch优化算法应用于平衡/不平衡配电网中分布式发电机的最优配置和规模。该算法处理的是电压控制分布式发电机的优化问题，以达到功率损耗最小的目的。该算法在MATLAB环境下实现，并在69总线馈线系统和IEEE 37节点馈线系统上进行了测试。通过将结果与其他竞争方法获得的已发表结果进行比较，验证了所提出的方法。
{"title":"Optimal sizing and siting of distributed generators using Big Bang Big Crunch method","authors":"Y. Hegazy, Mahmoud M. Othman, W. El-Khattam, A. Abdelaziz","doi":"10.1109/UPEC.2014.6934787","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934787","url":null,"abstract":"The concept of integrating small generating units in the power system attracted the attention in the last few decades. Distributed generator (DG) reinforces the main generating station in covering the growing power demand. DG can be connected or disconnected easily from the network unlike the main power stations, thus providing higher flexibility. Good planned and operated DG has many benefits as economic savings, decrement of power losses, greater reliability and higher power quality. Optimal location and capacity of DGs plays a pivotal rule in achievement of gaining the maximum benefits from DGs, on the other side improper placement or sizing of DGs may cause undesirable effects. This paper applies the Big Bang Big Crunch optimization algorithm on balanced/ unbalanced distribution networks for optimal placement and sizing of distributed generators. The proposed algorithm deals with the optimization problems incorporating voltage controlled distributed generators for the sake of power loss minimization. The proposed algorithm is implemented in MATLAB environment and tested on the 69-bus feeder system and the IEEE 37-node feeder. Validation of the proposed method is done via comparing the results with published results obtained from other competing methods.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"315 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122859330","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934606
A. Miron, M. Chindris, A. Cziker
The paper presents a method based on the Fast Fourier Transform and Gauss Window combined with a recursive algorithm for the estimation of the voltages and currents harmonics and interharmonics. The proposed method uses pairs of band-pass filters to obtain the frequency domain components of the power signals. The band-pass filters emerge from the grouping made between the Gauss Window and the Fourier Transform. The outputs of these filters are attenuated copies of the input distorted signals and they are utilized to calculate the characteristics of the harmonic and interharmonic components present in the spectrum of the power signals. The analysis is performed on a time interval equivalent with 10 cycles of the fundamental frequency as the standard literature recommends. The proposed algorithm was implemented in a virtual instrument used to process synthetic and field data. The obtained results showed high precision in harmonics and interharmonics detection, with no leakage effect even in the case of fundamental frequency deviation.
{"title":"Harmonics and interharmonics analysis of power signals using Gaussian filter banks","authors":"A. Miron, M. Chindris, A. Cziker","doi":"10.1109/UPEC.2014.6934606","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934606","url":null,"abstract":"The paper presents a method based on the Fast Fourier Transform and Gauss Window combined with a recursive algorithm for the estimation of the voltages and currents harmonics and interharmonics. The proposed method uses pairs of band-pass filters to obtain the frequency domain components of the power signals. The band-pass filters emerge from the grouping made between the Gauss Window and the Fourier Transform. The outputs of these filters are attenuated copies of the input distorted signals and they are utilized to calculate the characteristics of the harmonic and interharmonic components present in the spectrum of the power signals. The analysis is performed on a time interval equivalent with 10 cycles of the fundamental frequency as the standard literature recommends. The proposed algorithm was implemented in a virtual instrument used to process synthetic and field data. The obtained results showed high precision in harmonics and interharmonics detection, with no leakage effect even in the case of fundamental frequency deviation.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131172196","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934754
John Hastings, D. Laverty, D. Morrow
The next-generation smart grid will rely highly on telecommunications infrastructure for data transfer between various systems. Anywhere we have data transfer in a system is a potential security threat. When we consider the possibility of smart grid data being at the heart of our critical systems infrastructure it is imperative that we do all we can to ensure the confidentiality, availability and integrity of the data. A discussion on security itself is outside the scope of this paper, but if we assume the network to be as secure as possible we must consider what we can do to detect when that security fails, or when the attacks comes from the inside of the network. One way to do this is to setup a hacker-trap, or honeypot. A honeypot is a device or service on a network which appears legitimate, but is in-fact a trap setup to catch breech attempts. This paper identifies the different types of honeypot and describes where each may be used. The authors have setup a test honeypot system which has been live for some time. The test system has been setup to emulate a device on a utility network. The system has had many hits, which are described in detail by the authors. Finally, the authors discuss how larger-scale systems in utilities may benefit from honeypot placement.
{"title":"Tracking smart grid hackers","authors":"John Hastings, D. Laverty, D. Morrow","doi":"10.1109/UPEC.2014.6934754","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934754","url":null,"abstract":"The next-generation smart grid will rely highly on telecommunications infrastructure for data transfer between various systems. Anywhere we have data transfer in a system is a potential security threat. When we consider the possibility of smart grid data being at the heart of our critical systems infrastructure it is imperative that we do all we can to ensure the confidentiality, availability and integrity of the data. A discussion on security itself is outside the scope of this paper, but if we assume the network to be as secure as possible we must consider what we can do to detect when that security fails, or when the attacks comes from the inside of the network. One way to do this is to setup a hacker-trap, or honeypot. A honeypot is a device or service on a network which appears legitimate, but is in-fact a trap setup to catch breech attempts. This paper identifies the different types of honeypot and describes where each may be used. The authors have setup a test honeypot system which has been live for some time. The test system has been setup to emulate a device on a utility network. The system has had many hits, which are described in detail by the authors. Finally, the authors discuss how larger-scale systems in utilities may benefit from honeypot placement.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131359926","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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