Pub Date : 2017-12-20DOI: 10.1109/SGC.2017.8308852
Froogh Fathnia, Farid Fathnia, D. M. H. Javidi
Smart grid is the next generation of power grid that provides two-way communication, both in sending and receiving information and in power transfer, among its programs, and using advanced technologies and features such as flexibility, ensuring reliability, affordability, reducing carbon footprints, reinforcing global competiveness and etc. Along with such advantages that give the system administrators and electricity customers the convenience and speed to do business, the security of such a system is far more intrusive. One of the important aspects of maintaining security is on the consumption side, because maintaining the privacy of customers is important and neglecting that will cause an irreparable financial and social losses. Hence, in this paper, we tried to use the OPTICS density-based technique to diagnose abnormalities in information and intelligent data of customers instantly and compare the results of different scenarios. To improve the efficiency of the methodology, we use the index called LOF. Which is actually a factor in detecting the unusual nature of the data in the density-based methods, and will do this based on the score given to it. In other words, it is not binary but gives a score based on which the disturbance of the data can be measured. In order to carry out these simulations, we used London's intelligent metering data in January 2013, which was sent to the control center every 30 minutes.
{"title":"Detection of anomalies in smart meter data: A density-based approach","authors":"Froogh Fathnia, Farid Fathnia, D. M. H. Javidi","doi":"10.1109/SGC.2017.8308852","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308852","url":null,"abstract":"Smart grid is the next generation of power grid that provides two-way communication, both in sending and receiving information and in power transfer, among its programs, and using advanced technologies and features such as flexibility, ensuring reliability, affordability, reducing carbon footprints, reinforcing global competiveness and etc. Along with such advantages that give the system administrators and electricity customers the convenience and speed to do business, the security of such a system is far more intrusive. One of the important aspects of maintaining security is on the consumption side, because maintaining the privacy of customers is important and neglecting that will cause an irreparable financial and social losses. Hence, in this paper, we tried to use the OPTICS density-based technique to diagnose abnormalities in information and intelligent data of customers instantly and compare the results of different scenarios. To improve the efficiency of the methodology, we use the index called LOF. Which is actually a factor in detecting the unusual nature of the data in the density-based methods, and will do this based on the score given to it. In other words, it is not binary but gives a score based on which the disturbance of the data can be measured. In order to carry out these simulations, we used London's intelligent metering data in January 2013, which was sent to the control center every 30 minutes.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121769584","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308856
P. Maleki, A. A. K. Arani, G. Gharehpetian
Nowadays, the spread of smart grids is becoming more and more important due to their various technical and economic advantages. One of the most important aspects of smart grids is the use of low voltage products in the structure of distribution networks and their conversion into grid networks. A microgrid is a low power grid that can operate in different modes in relation to its upstream network: the functional modes of connected to or disconnected from the upstream network. These functional status shifts are always challenging to the microgrid utilization, one of which is the great difference between the measured fault current in the two operational modes of the grid. Protectoral equipment used based on the fault current measured when in disconnected operational mode may not function properly when connected to the upstream network. Using the Fault Current Limiter (FCL) is one way to reduce the effects of these disparities. One of the influencing factors beside the technicalities, is the economic aspects of the FCL. In this paper, we first develop a target function based on the technical and economic aspects of the FCL to reduce the difference between the two currents and the optimal value of these limiters by the Cuckoo Optimization Algorithm (COA). The results of the simulations performed in the MATLAB environment show the impact of FCL on the microgrid from the technical and economic point of view.
{"title":"Fault current limiter optimal placement considering different microgrid operational modes using Cuckoo search algorithm","authors":"P. Maleki, A. A. K. Arani, G. Gharehpetian","doi":"10.1109/SGC.2017.8308856","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308856","url":null,"abstract":"Nowadays, the spread of smart grids is becoming more and more important due to their various technical and economic advantages. One of the most important aspects of smart grids is the use of low voltage products in the structure of distribution networks and their conversion into grid networks. A microgrid is a low power grid that can operate in different modes in relation to its upstream network: the functional modes of connected to or disconnected from the upstream network. These functional status shifts are always challenging to the microgrid utilization, one of which is the great difference between the measured fault current in the two operational modes of the grid. Protectoral equipment used based on the fault current measured when in disconnected operational mode may not function properly when connected to the upstream network. Using the Fault Current Limiter (FCL) is one way to reduce the effects of these disparities. One of the influencing factors beside the technicalities, is the economic aspects of the FCL. In this paper, we first develop a target function based on the technical and economic aspects of the FCL to reduce the difference between the two currents and the optimal value of these limiters by the Cuckoo Optimization Algorithm (COA). The results of the simulations performed in the MATLAB environment show the impact of FCL on the microgrid from the technical and economic point of view.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556624","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308847
Adel Nazemi Babadi, S. Nouri, S. Khalaj
IoT refers to the internetworking of physical devices including passive sensors and actuators that collect, analyze and exchange data via the Internet. Recently, AMI has attracted attention and praise from both industry and commerce for the vast improvements it has brought about in the accuracy of online meter reading and control. The modern Smart Meter can monitors electricity consumption, supply characteristics and its environment (against tampering) and sends the stored data back to the utility company for load monitoring, trend analysis, network loss management and billing purposes. The AMI system with aforementioned capabilities is generally regarded as Smart Grid 1.0. Recent developments and initiatives across the international landscape have been focused around leveraging IoT technologies to create Smart Grid 2.0. Smart Grid 2.0 is based on a qualified peer-to-peer architecture, which eliminates the disadvantages of SG 1.0. In this paper, a detailed comparison and analysis between SG 1.0 and 2.0 is done and the challenges and opportunities associated with the integration of IoT and SG 1.0 is described. Also, as a case study, different problems and challenges of IoT implementation in Iran transmission power system is presented and a conceptual structure, named as Power IoT (PIoT) is illustrated.
{"title":"Challenges and opportunities of the integration of IoT and smart grid in Iran transmission power system","authors":"Adel Nazemi Babadi, S. Nouri, S. Khalaj","doi":"10.1109/SGC.2017.8308847","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308847","url":null,"abstract":"IoT refers to the internetworking of physical devices including passive sensors and actuators that collect, analyze and exchange data via the Internet. Recently, AMI has attracted attention and praise from both industry and commerce for the vast improvements it has brought about in the accuracy of online meter reading and control. The modern Smart Meter can monitors electricity consumption, supply characteristics and its environment (against tampering) and sends the stored data back to the utility company for load monitoring, trend analysis, network loss management and billing purposes. The AMI system with aforementioned capabilities is generally regarded as Smart Grid 1.0. Recent developments and initiatives across the international landscape have been focused around leveraging IoT technologies to create Smart Grid 2.0. Smart Grid 2.0 is based on a qualified peer-to-peer architecture, which eliminates the disadvantages of SG 1.0. In this paper, a detailed comparison and analysis between SG 1.0 and 2.0 is done and the challenges and opportunities associated with the integration of IoT and SG 1.0 is described. Also, as a case study, different problems and challenges of IoT implementation in Iran transmission power system is presented and a conceptual structure, named as Power IoT (PIoT) is illustrated.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591134","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308869
M. S. Mahadavi, S. Mehrnia, G. Gharehpetian, M. Abedi
Changing the steady state parameters of power system before fault occurrence is a new approach for increasing the transient stability of the system. With the presence of PMUs in smart grid and the possession of system information at any given time, FACTS devices can be set up online so that total critical clearing time (CCT) of the network is maximized as the most accurate transient stability criterion, by changing the system's steady state variables before the fault occurrence. Calculation of CCT requires iterative fault analysis and time-domain simulation of the network. In this paper, a novel prefault online optimal FACTS tuning is presented for transient stability enhancement of smart grid by CCT maximizing. Also the optimal type, number and location of FACTS devices are determined for long term planning. FACTS devices modeling and New England 39-bus system simulation are done by DIgSILENT software. DPL is used for CCT calculation and proposed approach implementation based on PSO algorithm. Also investment cost of these devices are considered for determining the optimal number of them.
{"title":"Online pre-fault FACTS tuning in smart grid for transient stability enhancement based on CCT","authors":"M. S. Mahadavi, S. Mehrnia, G. Gharehpetian, M. Abedi","doi":"10.1109/SGC.2017.8308869","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308869","url":null,"abstract":"Changing the steady state parameters of power system before fault occurrence is a new approach for increasing the transient stability of the system. With the presence of PMUs in smart grid and the possession of system information at any given time, FACTS devices can be set up online so that total critical clearing time (CCT) of the network is maximized as the most accurate transient stability criterion, by changing the system's steady state variables before the fault occurrence. Calculation of CCT requires iterative fault analysis and time-domain simulation of the network. In this paper, a novel prefault online optimal FACTS tuning is presented for transient stability enhancement of smart grid by CCT maximizing. Also the optimal type, number and location of FACTS devices are determined for long term planning. FACTS devices modeling and New England 39-bus system simulation are done by DIgSILENT software. DPL is used for CCT calculation and proposed approach implementation based on PSO algorithm. Also investment cost of these devices are considered for determining the optimal number of them.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018343","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308889
A. Darbandsari, A. Maroufkhani, T. Amraee
Two very important parameters especially in frequency stability analysis, are inertia constant and equivalent load damping constant of system. Equivalent inertia constant depends on inertia constant of synchronous machines in the grid and load damping factor depends on frequency sensitivity of load, especially induction motors. By appearing wide area monitoring systems (WAMS) based on phasor measurement units, equivalent system frequency response can be obtained with high accuracy. In this paper firstly, the equivalent frequency response is achieved by phasor measurements and then according to the transient and steady state characteristics of the frequency response, the inertia and load damping constants are estimated. The performance of proposed method in estimating the equivalent parameters of the system is investigated under different conditions. The developed method is implemented in IEEE 39-Bus dynamic test grid.
{"title":"The estimation of inertia and load damping constants using phasor measurement data","authors":"A. Darbandsari, A. Maroufkhani, T. Amraee","doi":"10.1109/SGC.2017.8308889","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308889","url":null,"abstract":"Two very important parameters especially in frequency stability analysis, are inertia constant and equivalent load damping constant of system. Equivalent inertia constant depends on inertia constant of synchronous machines in the grid and load damping factor depends on frequency sensitivity of load, especially induction motors. By appearing wide area monitoring systems (WAMS) based on phasor measurement units, equivalent system frequency response can be obtained with high accuracy. In this paper firstly, the equivalent frequency response is achieved by phasor measurements and then according to the transient and steady state characteristics of the frequency response, the inertia and load damping constants are estimated. The performance of proposed method in estimating the equivalent parameters of the system is investigated under different conditions. The developed method is implemented in IEEE 39-Bus dynamic test grid.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131174756","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308863
M. Nassaj, S. Mehrnia, H. Rastegar, M. Abedi
Due to the existence of a high number of unintegrated small-scale sources, islanded microgrids need some specific flexibilities such as energy storages. Therefore, in order to control the load and distributed generations in a microgrid, voltage-based droop control is used. This control method determines the switching of power electronic converters to ensure the stable operation of the microgrid. In this paper, the voltage-based droop control is applied to energy storage systems considering their charge condition based on fuzzy controller. This voltage-based droop control automatically adjusts the power priority of microgrid elements too and energy storage systems are considered in this priority list without any communication tools. One of the advantages of this method is coordinated combination of distributed generations in the studied system. The simulated cases prove the efficient performance of voltage-based droop control in transient and dynamic responses in existence of all element of the microgrid.
{"title":"Improving the response transient and dynamic stability using voltage-based droop control in an islanded microgrid equipped with energy storage","authors":"M. Nassaj, S. Mehrnia, H. Rastegar, M. Abedi","doi":"10.1109/SGC.2017.8308863","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308863","url":null,"abstract":"Due to the existence of a high number of unintegrated small-scale sources, islanded microgrids need some specific flexibilities such as energy storages. Therefore, in order to control the load and distributed generations in a microgrid, voltage-based droop control is used. This control method determines the switching of power electronic converters to ensure the stable operation of the microgrid. In this paper, the voltage-based droop control is applied to energy storage systems considering their charge condition based on fuzzy controller. This voltage-based droop control automatically adjusts the power priority of microgrid elements too and energy storage systems are considered in this priority list without any communication tools. One of the advantages of this method is coordinated combination of distributed generations in the studied system. The simulated cases prove the efficient performance of voltage-based droop control in transient and dynamic responses in existence of all element of the microgrid.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127017632","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308859
F. Habibi, H. Bevrani, Q. Shafiee
Electricity crisis, environmental issues and as well as economic considerations enters modern power system to use alternative sources instead of the conventional ones. One of the newest ones in which controllable active and reactive loads are continuously contributed in the dynamic regulation called Demand response (DR). In this paper, a new method to apply DR in the microgrid (MG) are presented. It is based on generalized droop characteristic (GDC) which change controllable loads using a series of specific equations. The proper performance of GDC-based DR is achieved by changing controllable active and reactive loads which it changed based on the system conditions. To test the control method several scenarios are simulated in which the system frequency and voltage are studied in two states. The simulation results are carried out in the presence of conventional controller and in the next mode, in addition to the conventional ones DR is contributed in regulation dynamics. The results show that the proposed control methodology have appropriate performance such that the frequency deviations and voltage fluctuations subjected by different faults are far fewer in comparison of pervious controllers.
{"title":"Generalized droop characteristic-based Demand response and secondary frequency control coordination in an isolated microgrid","authors":"F. Habibi, H. Bevrani, Q. Shafiee","doi":"10.1109/SGC.2017.8308859","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308859","url":null,"abstract":"Electricity crisis, environmental issues and as well as economic considerations enters modern power system to use alternative sources instead of the conventional ones. One of the newest ones in which controllable active and reactive loads are continuously contributed in the dynamic regulation called Demand response (DR). In this paper, a new method to apply DR in the microgrid (MG) are presented. It is based on generalized droop characteristic (GDC) which change controllable loads using a series of specific equations. The proper performance of GDC-based DR is achieved by changing controllable active and reactive loads which it changed based on the system conditions. To test the control method several scenarios are simulated in which the system frequency and voltage are studied in two states. The simulation results are carried out in the presence of conventional controller and in the next mode, in addition to the conventional ones DR is contributed in regulation dynamics. The results show that the proposed control methodology have appropriate performance such that the frequency deviations and voltage fluctuations subjected by different faults are far fewer in comparison of pervious controllers.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115727369","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308864
Amin Karimi, Yousef Khayat, Mobin Naderi, R. Mirzaee, H. Bevrani
This report presents a transient proportional controller which is augmented on virtual inertia's topology. The concept of virtual synchronous generator (VSG) is inspired by the behavior of the synchronous generators and researchers map this behavior on microgrids to mimic the power system's dynamics on microgrids. The added characteristic is based on FACTS' functions such as: STATCOM swing damping capability for large-signal disturbance damping at transient times, for VSG based microgrids. This capability is added to the VSG structure by a bang-bang controller. The proposed bang-bang controller is used to improve transient response of VSG based microgrids just in large signal disturbances, including: islanding, three-phase faults, and huge variation of loads. Simplicity and capability to improve the transient response are the main features of the added configuration. Simulation results verify the improvement of the introduced manner by the represented augmented VSG control strategy.
{"title":"Improving transient performance of VSG based microgrids by virtual FACTS' functions","authors":"Amin Karimi, Yousef Khayat, Mobin Naderi, R. Mirzaee, H. Bevrani","doi":"10.1109/SGC.2017.8308864","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308864","url":null,"abstract":"This report presents a transient proportional controller which is augmented on virtual inertia's topology. The concept of virtual synchronous generator (VSG) is inspired by the behavior of the synchronous generators and researchers map this behavior on microgrids to mimic the power system's dynamics on microgrids. The added characteristic is based on FACTS' functions such as: STATCOM swing damping capability for large-signal disturbance damping at transient times, for VSG based microgrids. This capability is added to the VSG structure by a bang-bang controller. The proposed bang-bang controller is used to improve transient response of VSG based microgrids just in large signal disturbances, including: islanding, three-phase faults, and huge variation of loads. Simplicity and capability to improve the transient response are the main features of the added configuration. Simulation results verify the improvement of the introduced manner by the represented augmented VSG control strategy.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121850568","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308881
E. Mohammadi, R. Fadaeinedjad, M. Rashidinejad, A. Mahdavinia
Increasing the number of electric parking lots (EPLs) in the distribution systems may have some important impacts on their performances. These impacts can improve or deteriorate the system's performance depending on the EPLs' charge/discharge scheduling (CDS), location and size of these resources. This paper presents an approach to firstly determine an appropriate charge/discharge scheduling for an EPL in a 24-hour time period. Secondly, the optimal location is specified for an EPL to reduce energy loss, improve voltage stability, and voltage profile considering the reactive power capability of the EPL's inverter. The proposed method is implemented on the IEEE 33-bus standard distribution system. The genetic algorithm and backward-forward power flow method are utilized to evaluate the effectiveness of the proposed method.
{"title":"Optimal placement and charge/discharge scheduling of electric parking lots considering reactive power generation capability","authors":"E. Mohammadi, R. Fadaeinedjad, M. Rashidinejad, A. Mahdavinia","doi":"10.1109/SGC.2017.8308881","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308881","url":null,"abstract":"Increasing the number of electric parking lots (EPLs) in the distribution systems may have some important impacts on their performances. These impacts can improve or deteriorate the system's performance depending on the EPLs' charge/discharge scheduling (CDS), location and size of these resources. This paper presents an approach to firstly determine an appropriate charge/discharge scheduling for an EPL in a 24-hour time period. Secondly, the optimal location is specified for an EPL to reduce energy loss, improve voltage stability, and voltage profile considering the reactive power capability of the EPL's inverter. The proposed method is implemented on the IEEE 33-bus standard distribution system. The genetic algorithm and backward-forward power flow method are utilized to evaluate the effectiveness of the proposed method.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129995999","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 : 2017-12-01DOI: 10.1109/SGC.2017.8308860
Sina Gharebaghi, S. H. Hosseini, M. Izadi, A. Safdarian
Nowadays communication and monitoring systems play an important role in power systems security. However, these systems are exposed to bad data injection through attackers. This paper is aimed to propose a priority order list of attacked buses in order to be fully informed about the attacker decision. To do so, system security is evaluated through two well-known risk indices including under voltage risk index and overloading risk index. A genetic algorithm (GA) is employed to determine the most severe attack for each of the security indices. The effectiveness and accuracy of the proposed model are scrutinized through simulations on the IEEE 30-bus network. The paper reveals that knowing the most important buses from the attacker point of view will considerably reduce the freedom degree of the attacker.
{"title":"Impacts of bad data injection on power systems security: Intruder point of view","authors":"Sina Gharebaghi, S. H. Hosseini, M. Izadi, A. Safdarian","doi":"10.1109/SGC.2017.8308860","DOIUrl":"https://doi.org/10.1109/SGC.2017.8308860","url":null,"abstract":"Nowadays communication and monitoring systems play an important role in power systems security. However, these systems are exposed to bad data injection through attackers. This paper is aimed to propose a priority order list of attacked buses in order to be fully informed about the attacker decision. To do so, system security is evaluated through two well-known risk indices including under voltage risk index and overloading risk index. A genetic algorithm (GA) is employed to determine the most severe attack for each of the security indices. The effectiveness and accuracy of the proposed model are scrutinized through simulations on the IEEE 30-bus network. The paper reveals that knowing the most important buses from the attacker point of view will considerably reduce the freedom degree of the attacker.","PeriodicalId":346749,"journal":{"name":"2017 Smart Grid Conference (SGC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116490653","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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