Pub Date : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556762
F. A. Shifa
A doubly-fed induction generator involves many mechanical, electrical, and power electronic sub-systems working in coordination with each other with the help of various control systems to produce a stable voltage and frequency profile at generator outputs inspite of varying wind speeds. PI control is the oldest, simplest and most reliable control scheme up-to-date and is being used in industries all over the world. This paper reviews various published works highlighting improvements in PI control of doubly-fed induction generators during last two years. The goals of this paper are to study the modifications made to the PI control of this machine and the extent to which these modifications were able to improve power control of this machine. The paper is concluded with implementation of 2 MW doubly-fed induction machine employing PI control in SIMULINK followed by a discussion on results of this simulated system and future improvements which will be made in this implemented system.
{"title":"Implementation of PI Active Power Control in a DFIG Based Wind Power System","authors":"F. A. Shifa","doi":"10.1109/ICSGCE.2018.8556762","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556762","url":null,"abstract":"A doubly-fed induction generator involves many mechanical, electrical, and power electronic sub-systems working in coordination with each other with the help of various control systems to produce a stable voltage and frequency profile at generator outputs inspite of varying wind speeds. PI control is the oldest, simplest and most reliable control scheme up-to-date and is being used in industries all over the world. This paper reviews various published works highlighting improvements in PI control of doubly-fed induction generators during last two years. The goals of this paper are to study the modifications made to the PI control of this machine and the extent to which these modifications were able to improve power control of this machine. The paper is concluded with implementation of 2 MW doubly-fed induction machine employing PI control in SIMULINK followed by a discussion on results of this simulated system and future improvements which will be made in this implemented system.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130789020","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556712
Aditya Raj, Patha Lekhaj
In this paper a novel Adaptive network based fuzzy Inference system (ANFIS) based model for voltage regulation of the three-phase inverter with environment friendly high efficiency operation of proton Exchange membrane fuel cell (PEMC) has been developed for remote location application. The efficiency of fuel cell (FC) changes with operating voltage due to its non-linear characteristics. To overcome this problem ANFIS based controller is used, and its performance with traditional P and O based MPPT controller has been compared. A study of the behavior of Fuel cell power fed 3-phase, 5HP induction motor at different load conditions is presented, with voltage and current regulation of the 3-phase inverter.
{"title":"An ANFIS Based MPPT Controller for Fuel Cell Powered Induction Motor Drive","authors":"Aditya Raj, Patha Lekhaj","doi":"10.1109/ICSGCE.2018.8556712","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556712","url":null,"abstract":"In this paper a novel Adaptive network based fuzzy Inference system (ANFIS) based model for voltage regulation of the three-phase inverter with environment friendly high efficiency operation of proton Exchange membrane fuel cell (PEMC) has been developed for remote location application. The efficiency of fuel cell (FC) changes with operating voltage due to its non-linear characteristics. To overcome this problem ANFIS based controller is used, and its performance with traditional P and O based MPPT controller has been compared. A study of the behavior of Fuel cell power fed 3-phase, 5HP induction motor at different load conditions is presented, with voltage and current regulation of the 3-phase inverter.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131187793","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556794
C. Süfke, M. Tophinke
The growing dynamic in energy transition by grid integration of flexible power generations and loads as well as novel operating equipment, must be considered as new challenges in terms of power grid planning and operation. Therefore, system operators must develop new tools and concepts in order to use all available technologies consciously and efficiently. In particular, this challenge addresses power grid operators as well as other system operators who have to face these new requirements in the near future, e.g., driven by sector coupling. The main contribution of this paper is the basic research for a holistic model that integrates and exploits flexibilities for efficient planning and operating smart grids. In contrast to normally used flexibilities, a definition of grid flexibility is introduced and a motivating example for grid flexibilities based on real-world datasets to underline the corresponding benefits, requirements and constraints is given.
{"title":"Smart Grid Goes Flexible: Methods for Cost Reduction by Efficient Resource Utilization of Operating Equipment*","authors":"C. Süfke, M. Tophinke","doi":"10.1109/ICSGCE.2018.8556794","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556794","url":null,"abstract":"The growing dynamic in energy transition by grid integration of flexible power generations and loads as well as novel operating equipment, must be considered as new challenges in terms of power grid planning and operation. Therefore, system operators must develop new tools and concepts in order to use all available technologies consciously and efficiently. In particular, this challenge addresses power grid operators as well as other system operators who have to face these new requirements in the near future, e.g., driven by sector coupling. The main contribution of this paper is the basic research for a holistic model that integrates and exploits flexibilities for efficient planning and operating smart grids. In contrast to normally used flexibilities, a definition of grid flexibility is introduced and a motivating example for grid flexibilities based on real-world datasets to underline the corresponding benefits, requirements and constraints is given.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116777803","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556735
Timo Bernard, Martin H. Verbunt, G. V. Bögel, Thorsten Wellmann
Energy savings are an important building block for the clean energy transition. Studies show that the consideration of overall load profiles is not sufficient to identify significant saving potentials -as is the case with smart meters. Nonintrusive Load Monitoring enables a device specific consumption disaggregation in a cost effective way. Our work focuses on the fusion of low, mid and high frequency features which can enhance the disaggregation performance. Furthermore our suggested approach consists of an unsupervised machine learning technique which enables novelty detection, a small training phase and live processing. We conclude this paper with the algorithm evaluation on household and industrial datasets.
{"title":"Non-Intrusive Load Monitoring (NILM): Unsupervised Machine Learning and Feature Fusion : Energy Management for Private and Industrial Applications","authors":"Timo Bernard, Martin H. Verbunt, G. V. Bögel, Thorsten Wellmann","doi":"10.1109/ICSGCE.2018.8556735","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556735","url":null,"abstract":"Energy savings are an important building block for the clean energy transition. Studies show that the consideration of overall load profiles is not sufficient to identify significant saving potentials -as is the case with smart meters. Nonintrusive Load Monitoring enables a device specific consumption disaggregation in a cost effective way. Our work focuses on the fusion of low, mid and high frequency features which can enhance the disaggregation performance. Furthermore our suggested approach consists of an unsupervised machine learning technique which enables novelty detection, a small training phase and live processing. We conclude this paper with the algorithm evaluation on household and industrial datasets.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130050124","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556825
Zain Zia, Ahtasham Abid, F. Shaikh
All over world the electricity market is experiencing restructuring and adopting deregulated industry structure for an efficient and competitive market. In Pakistan the restructuring of power sector started in 1998 with the formation of Pakistan Electric Power Company (PEPCO). In the same year a regulatory authority, National Electric Power Regulatory authority (NEPRA) was put in place. In 2002 the unbundling of power sector occurred and NEPRA issued licenses to 9 distribution companies (DISCOS) and one to National Transmission and Dispatch Company (NTDC) for transmission. However, till now no formal contractual relationship between DISCO and NTDC is present. This paper focuses on development of an electricity trading model in competitive market model by considering all the issues faced by present power traders in Pakistan. Some ideas have been suggested like creation of Power exchange and Independent System Operator (ISO) in Pakistan electricity market to fully deregulate the existing power market of Pakistan.
{"title":"An Efficient and Competitive Electricity Market Model for Pakistan","authors":"Zain Zia, Ahtasham Abid, F. Shaikh","doi":"10.1109/ICSGCE.2018.8556825","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556825","url":null,"abstract":"All over world the electricity market is experiencing restructuring and adopting deregulated industry structure for an efficient and competitive market. In Pakistan the restructuring of power sector started in 1998 with the formation of Pakistan Electric Power Company (PEPCO). In the same year a regulatory authority, National Electric Power Regulatory authority (NEPRA) was put in place. In 2002 the unbundling of power sector occurred and NEPRA issued licenses to 9 distribution companies (DISCOS) and one to National Transmission and Dispatch Company (NTDC) for transmission. However, till now no formal contractual relationship between DISCO and NTDC is present. This paper focuses on development of an electricity trading model in competitive market model by considering all the issues faced by present power traders in Pakistan. Some ideas have been suggested like creation of Power exchange and Independent System Operator (ISO) in Pakistan electricity market to fully deregulate the existing power market of Pakistan.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121948352","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556831
A. Junid, E. Yap, Pek-Kim Ng
Installing grid-connected photovoltaics (GCPV) at telecommunication company (Telco) base stations along highways, and providing electric vehicle (EV) charging facilities at strategic locations such as highway-side base stations offers a synergistic solution to both 1) displacing engine emissions using electricity from a renewable energy source, and 2) providing more highway EV charging stations for long distance EV driving. Strategically placed hillslope EV discharge stations would also offer EV users travelling downhill for long distances to sell their EV battery energy obtained from regenerative braking to the grid, freeing up the needed battery capacity to continue downhill with regenerative braking rather than losing it due to an already fully charged battery. This paper explores potential cost-benefits for investments in (i) highway-side Telco base stations with GCPV systems and EV charging stations as an additional source of revenue, and (ii) investments in EV discharge stations along hillslopes for EV users to sell battery energy from regenerative braking. The methodology used to gauge annual demand of new EV charge stations was by observation of existing highway-side EV charge station usage rates, estimating growth of EVs and charge stations, and reference to existing literature on EV charging tariffs, local electricity costs, and sizing/costing electrical equipment needed for the base station upgrade. To verify discharge kWh calculations from downhill descent regenerative braking, a downhill test drive of a Plug-in Hybrid Electric Vehicle (PHEV) was done. To discourage non-charging EVs remaining parked at charger units, a design framework involving remote charger unit monitoring, reservation, messaging and automated financial incentives is also presented.
{"title":"Electric Vehicle Charging at Telco Base Station and Bidirectional Charging at Hillslope Descent Technical-Commercial Cost-Benefit Study and Scheduling-Reservation System","authors":"A. Junid, E. Yap, Pek-Kim Ng","doi":"10.1109/ICSGCE.2018.8556831","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556831","url":null,"abstract":"Installing grid-connected photovoltaics (GCPV) at telecommunication company (Telco) base stations along highways, and providing electric vehicle (EV) charging facilities at strategic locations such as highway-side base stations offers a synergistic solution to both 1) displacing engine emissions using electricity from a renewable energy source, and 2) providing more highway EV charging stations for long distance EV driving. Strategically placed hillslope EV discharge stations would also offer EV users travelling downhill for long distances to sell their EV battery energy obtained from regenerative braking to the grid, freeing up the needed battery capacity to continue downhill with regenerative braking rather than losing it due to an already fully charged battery. This paper explores potential cost-benefits for investments in (i) highway-side Telco base stations with GCPV systems and EV charging stations as an additional source of revenue, and (ii) investments in EV discharge stations along hillslopes for EV users to sell battery energy from regenerative braking. The methodology used to gauge annual demand of new EV charge stations was by observation of existing highway-side EV charge station usage rates, estimating growth of EVs and charge stations, and reference to existing literature on EV charging tariffs, local electricity costs, and sizing/costing electrical equipment needed for the base station upgrade. To verify discharge kWh calculations from downhill descent regenerative braking, a downhill test drive of a Plug-in Hybrid Electric Vehicle (PHEV) was done. To discourage non-charging EVs remaining parked at charger units, a design framework involving remote charger unit monitoring, reservation, messaging and automated financial incentives is also presented.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116310363","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556803
Jimmy Hee Chin Yong, J. Wong, Y. Lim, J. Tang
The intermittent nature of renewable energy sources, voltage variation and voltage fluctuation can be noticed when large amount of renewable energy (RE) sources are connected on the distribution network, this is even worst during low load condition. Energy storage system is a possible solution, particularly on solving power quality issues caused by large penetration of grid-connected renewable energy sources. However, improper placement of the energy storage system can lead to unsatisfactory mitigation of power quality issues. In addition, poor sizing of the system can cause the energy storage system to be very costly. In this study, a typical Malaysian Medium Voltage (MV) distribution network is modeled using Digsilent PowerFactory to perform an investigation on the voltage impacts of various allocation of energy storage system and photovoltaic systems along the distribution feeder. It is noticed that the voltage impact is significant for high penetration of PV system power output at the feeder end as compared to the same capacity connected at feeder front. The investigation also shows that energy storage systems connected along the location on feeder end can regulate the feeder voltages.
{"title":"Assessment on Various Allocations of Energy Storages Systems on Radial Distribution Network for Maximum PV Systems Penetration","authors":"Jimmy Hee Chin Yong, J. Wong, Y. Lim, J. Tang","doi":"10.1109/ICSGCE.2018.8556803","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556803","url":null,"abstract":"The intermittent nature of renewable energy sources, voltage variation and voltage fluctuation can be noticed when large amount of renewable energy (RE) sources are connected on the distribution network, this is even worst during low load condition. Energy storage system is a possible solution, particularly on solving power quality issues caused by large penetration of grid-connected renewable energy sources. However, improper placement of the energy storage system can lead to unsatisfactory mitigation of power quality issues. In addition, poor sizing of the system can cause the energy storage system to be very costly. In this study, a typical Malaysian Medium Voltage (MV) distribution network is modeled using Digsilent PowerFactory to perform an investigation on the voltage impacts of various allocation of energy storage system and photovoltaic systems along the distribution feeder. It is noticed that the voltage impact is significant for high penetration of PV system power output at the feeder end as compared to the same capacity connected at feeder front. The investigation also shows that energy storage systems connected along the location on feeder end can regulate the feeder voltages.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121411551","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556804
Qiaoyue Shao, Longyuan Li, Xiaoru Wang, Yufei Teng
With the rapid development of distributed hydropower technology, the issue of the equivalence of small and medium hydropower systems is urged to be solved. According to the China power grid data, the small and medium hydropower areas often contain motor (especially in the southwest of China). This paper presents a dynamic equivalent method combined 3rd generator and a parallel composite load (including a static characteristic ZIP load and a motor load) model, the parameters of which can be identified by the self-adaptive control parameters modified differential evolution (SACPMDE) algorithm. The proposed method is verified in simulation with the grid data from Sichuan and Hunan provinces in China which have abundant hydropower systems. The simulation results reflect that the dynamic responses of the proposed equivalent model are more consistent with that of the detailed model, even when the equivalent area has a certain amount of motor. Moreover, the parameters identified by SACPMDE is stable. Therefore, the presented method has high precision and it is suitable to solve the problem of equivalence of small and medium hydropower systems with a certain amount of motor.
{"title":"A Dynamic Equivalent Method Based on Composite Load for Hydropower Generator Groups with Motor Load","authors":"Qiaoyue Shao, Longyuan Li, Xiaoru Wang, Yufei Teng","doi":"10.1109/ICSGCE.2018.8556804","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556804","url":null,"abstract":"With the rapid development of distributed hydropower technology, the issue of the equivalence of small and medium hydropower systems is urged to be solved. According to the China power grid data, the small and medium hydropower areas often contain motor (especially in the southwest of China). This paper presents a dynamic equivalent method combined 3rd generator and a parallel composite load (including a static characteristic ZIP load and a motor load) model, the parameters of which can be identified by the self-adaptive control parameters modified differential evolution (SACPMDE) algorithm. The proposed method is verified in simulation with the grid data from Sichuan and Hunan provinces in China which have abundant hydropower systems. The simulation results reflect that the dynamic responses of the proposed equivalent model are more consistent with that of the detailed model, even when the equivalent area has a certain amount of motor. Moreover, the parameters identified by SACPMDE is stable. Therefore, the presented method has high precision and it is suitable to solve the problem of equivalence of small and medium hydropower systems with a certain amount of motor.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122678575","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556684
Jiahao Deng, Haoran Wang
The heating, ventilating and air conditioning (HVAC) systems consumes more than half of the building energy consumption. An efficient HVAC system ensures the comfortable living and working environment. In this research, we proposes a novel approach to maximize the HVAC system efficiency regarding a typical office-type facility. One year energy data is collected from a commercial building in Chicago, IL for this research. The future room temperature and air humidity are predicted by deep neural networks. Deep neural network is also selected to extract the highly non-linear relationship between the control settings and the energy utility. A comparative analysis between the deep neural network and other state-of-arts data driven models is conducted. The deep neural networks outperforms the other algorithms and is applied to model the room temperature and air humidity. The predicted temperature and humidity are integrated into an energy optimization algorithm. Through numerical experiments, the systematic efficiency has been optimized to an acceptable level. Significant energy savings have been obtained while the facility's thermal comfort has been maintained.
{"title":"Modeling and Optimizing Building HVAC Energy Systems Using Deep Neural Networks","authors":"Jiahao Deng, Haoran Wang","doi":"10.1109/ICSGCE.2018.8556684","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556684","url":null,"abstract":"The heating, ventilating and air conditioning (HVAC) systems consumes more than half of the building energy consumption. An efficient HVAC system ensures the comfortable living and working environment. In this research, we proposes a novel approach to maximize the HVAC system efficiency regarding a typical office-type facility. One year energy data is collected from a commercial building in Chicago, IL for this research. The future room temperature and air humidity are predicted by deep neural networks. Deep neural network is also selected to extract the highly non-linear relationship between the control settings and the energy utility. A comparative analysis between the deep neural network and other state-of-arts data driven models is conducted. The deep neural networks outperforms the other algorithms and is applied to model the room temperature and air humidity. The predicted temperature and humidity are integrated into an energy optimization algorithm. Through numerical experiments, the systematic efficiency has been optimized to an acceptable level. Significant energy savings have been obtained while the facility's thermal comfort has been maintained.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"397 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127594050","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 : 2018-05-01DOI: 10.1109/ICSGCE.2018.8556819
S. Teufel, Rolf Burri, B. Teufel
It is no secret that cyberattacks have increased strongly, especially in the energy sector. This is among other things associated with the so-called digitization, i.e., the substantial use of sensors and information and communication technology. Therefore, cybersecurity developed to a major concern of utility companies as cyber-criminals attack production plants, distribution networks, assets and customer information. Cyber-criminals goals vary substantively, so there might be political driven reasons for an attack, even to financial driven attacks to harm the electricity availability combined with increasing financial pains. The possible impact of a successful attack is much bigger than any planned business continuity case. Therefore, a framework on cybersecurity guideline is introduced allowing utility companies to measure own cybersecurity maturity including a comparison against a baseline or measured results from equal/similar companies. The guideline also helps to build an intelligent risk register with risk probability and risk impact to quantify the risks from financial point of view, as well as for remediation purposes.
{"title":"Cybersecurity Guideline for the Utility Business a Swiss Approach","authors":"S. Teufel, Rolf Burri, B. Teufel","doi":"10.1109/ICSGCE.2018.8556819","DOIUrl":"https://doi.org/10.1109/ICSGCE.2018.8556819","url":null,"abstract":"It is no secret that cyberattacks have increased strongly, especially in the energy sector. This is among other things associated with the so-called digitization, i.e., the substantial use of sensors and information and communication technology. Therefore, cybersecurity developed to a major concern of utility companies as cyber-criminals attack production plants, distribution networks, assets and customer information. Cyber-criminals goals vary substantively, so there might be political driven reasons for an attack, even to financial driven attacks to harm the electricity availability combined with increasing financial pains. The possible impact of a successful attack is much bigger than any planned business continuity case. Therefore, a framework on cybersecurity guideline is introduced allowing utility companies to measure own cybersecurity maturity including a comparison against a baseline or measured results from equal/similar companies. The guideline also helps to build an intelligent risk register with risk probability and risk impact to quantify the risks from financial point of view, as well as for remediation purposes.","PeriodicalId":366392,"journal":{"name":"2018 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117102830","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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