Pub Date : 2016-07-17DOI: 10.1109/PESGM.2016.7741791
Yuwei He, Z. Fu, Jian Chen
Excess energy absorption is an important reason of metal oxide arresters (MOA) failure. Theoretical prediction of MOA failure probability requires the accurate computation of energy absorption in MOA. Several models with good properties in predicting the peak residual voltage have been proposed for the simulation of the dynamic frequency-dependent behavior of MOA, but the performance of these models in estimating the energy absorption is not thoroughly investigated. In this paper, the accuracy of the non-linear resistance model and frequency-dependent models, including the IEEE model, Pinceti-Gianettoni model and Fernandez-Diaz model, in estimating the residual voltage and energy absorption under different impulse currents is investigated experimentally. The energy absorption of MOA under lightning current of 8/20 μs, switching surge current of 30/60 μs, and 1 μs steep current were simulated with different models and compared with the experimentally measured values under corresponding waveform currents. The results show that the frequency-dependent models are accurate in the evaluation of peak residual voltage, but not suitable for the simulation of energy absorption, with a relative error up to 60%, under steep impulse current. The non-linear resistance model shows its poor performance both on peak residual voltage and energy absorption estimation under steep impulse currents. The work of this paper shows that an improved model is necessary for simultaneous accurate prediction of peak residual voltage and energy absorption of MOA under steep impulse currents.
{"title":"Experimental validation of MOA simulation models for energy absorption estimation under different impulse currents","authors":"Yuwei He, Z. Fu, Jian Chen","doi":"10.1109/PESGM.2016.7741791","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741791","url":null,"abstract":"Excess energy absorption is an important reason of metal oxide arresters (MOA) failure. Theoretical prediction of MOA failure probability requires the accurate computation of energy absorption in MOA. Several models with good properties in predicting the peak residual voltage have been proposed for the simulation of the dynamic frequency-dependent behavior of MOA, but the performance of these models in estimating the energy absorption is not thoroughly investigated. In this paper, the accuracy of the non-linear resistance model and frequency-dependent models, including the IEEE model, Pinceti-Gianettoni model and Fernandez-Diaz model, in estimating the residual voltage and energy absorption under different impulse currents is investigated experimentally. The energy absorption of MOA under lightning current of 8/20 μs, switching surge current of 30/60 μs, and 1 μs steep current were simulated with different models and compared with the experimentally measured values under corresponding waveform currents. The results show that the frequency-dependent models are accurate in the evaluation of peak residual voltage, but not suitable for the simulation of energy absorption, with a relative error up to 60%, under steep impulse current. The non-linear resistance model shows its poor performance both on peak residual voltage and energy absorption estimation under steep impulse currents. The work of this paper shows that an improved model is necessary for simultaneous accurate prediction of peak residual voltage and energy absorption of MOA under steep impulse currents.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910838","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741059
Jiahui Guo, Shutang You, Can Huang, Hesen Liu, D. Zhou, Jidong Chai, Ling Wu, Yilu Liu, Jim Glass, Matthew Gardner, Clifton Black
Due to its economical and environmental benefits to society and industry, integrating solar power is continuously growing in many utilities and Independent System Operators (ISOs). However, the intermittent nature of the renewable energy brings new challenges to the system operators. One key to resolve this problem is to have a ubiquitously efficient solar power output forecasting system, so as to help enhance system reliability, improve power quality, achieve better generation scheduling and formulate superior bidding strategies in market. This paper proposes an ensemble learning method to forecast solar power output, combining the state-of-art statistical learning methods. The performance of the model is evaluated through comparing with a benchmark with different metrics, and the numerical results validate the effectiveness of the model.
{"title":"An ensemble solar power output forecasting model through statistical learning of historical weather dataset","authors":"Jiahui Guo, Shutang You, Can Huang, Hesen Liu, D. Zhou, Jidong Chai, Ling Wu, Yilu Liu, Jim Glass, Matthew Gardner, Clifton Black","doi":"10.1109/PESGM.2016.7741059","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741059","url":null,"abstract":"Due to its economical and environmental benefits to society and industry, integrating solar power is continuously growing in many utilities and Independent System Operators (ISOs). However, the intermittent nature of the renewable energy brings new challenges to the system operators. One key to resolve this problem is to have a ubiquitously efficient solar power output forecasting system, so as to help enhance system reliability, improve power quality, achieve better generation scheduling and formulate superior bidding strategies in market. This paper proposes an ensemble learning method to forecast solar power output, combining the state-of-art statistical learning methods. The performance of the model is evaluated through comparing with a benchmark with different metrics, and the numerical results validate the effectiveness of the model.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126977486","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741963
Xiao Luo, Zohaib Akhtar, C. Lee, B. Chaudhuri, Siew-Chong Tan, S. Hui
Summary form only given. The concept of electric spring (ES) has been proposed recently as an effective means of distributed voltage control. The idea is to regulate the voltage across the critical (C) loads while allowing the noncritical (NC) impedance-type loads (e.g., water heaters) to vary their power consumption and thus contribute to demand-side response. In this paper, a comparison is made between distributed voltage control using ES against the traditional single point control with STATic COMpensator (STATCOM). For a given range of supply voltage variation, the total reactive capacity required for each option to produce the desired voltage regulation at the point of connection is compared. A simple case study with a single ES and STATCOM is presented first to show that the ES and STATCOM require comparable reactive power to achieve similar voltage regulation. Comparison between a STATCOM and ES is further substantiated through similar case studies on the IEEE 13-bus test feeder system and also on a part of the distribution network in Sha Lo Wan Bay, Hong Kong. In both cases, it turns out that a group of ESs achieves better total voltage regulation than STATCOM with less overall reactive power capacity. Dependence of the ES capability on proportion of critical and NC load is also shown.
{"title":"Distributed voltage control with electric springs: Comparison with STATCOM","authors":"Xiao Luo, Zohaib Akhtar, C. Lee, B. Chaudhuri, Siew-Chong Tan, S. Hui","doi":"10.1109/PESGM.2016.7741963","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741963","url":null,"abstract":"Summary form only given. The concept of electric spring (ES) has been proposed recently as an effective means of distributed voltage control. The idea is to regulate the voltage across the critical (C) loads while allowing the noncritical (NC) impedance-type loads (e.g., water heaters) to vary their power consumption and thus contribute to demand-side response. In this paper, a comparison is made between distributed voltage control using ES against the traditional single point control with STATic COMpensator (STATCOM). For a given range of supply voltage variation, the total reactive capacity required for each option to produce the desired voltage regulation at the point of connection is compared. A simple case study with a single ES and STATCOM is presented first to show that the ES and STATCOM require comparable reactive power to achieve similar voltage regulation. Comparison between a STATCOM and ES is further substantiated through similar case studies on the IEEE 13-bus test feeder system and also on a part of the distribution network in Sha Lo Wan Bay, Hong Kong. In both cases, it turns out that a group of ESs achieves better total voltage regulation than STATCOM with less overall reactive power capacity. Dependence of the ES capability on proportion of critical and NC load is also shown.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030263","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741472
Jun Xiao, Wei Guo, G. Zu, Xiao-xu Gong, F. Li, Linquan Bai
This paper observes the boundary of distribution system security region (DSSR). DSSR is defined as a set of all the operating points satisfying N-1 security constraints. First, the basic concepts of N-1 security are introduced for distribution system under smart grid background. Then, the dividing phenomenon of operating points security is reported, which indicates that DSSR boundary of a given distribution network exists. Moreover, an approximation method based on N-1 simulation is proposed in order to find DSSR boundary. Then, the observation results of the DSSR boundary are presented for the expanded RBTS BUS4 case. The topological characteristics of DSSR boundary are further summarized, which show that the DSSR is a dense set and its boundary is approximately linear. This research indicates the existence of DSSR and gives a method to observe it.
{"title":"An observation method based on N-1 simulation for distribution system security region","authors":"Jun Xiao, Wei Guo, G. Zu, Xiao-xu Gong, F. Li, Linquan Bai","doi":"10.1109/PESGM.2016.7741472","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741472","url":null,"abstract":"This paper observes the boundary of distribution system security region (DSSR). DSSR is defined as a set of all the operating points satisfying N-1 security constraints. First, the basic concepts of N-1 security are introduced for distribution system under smart grid background. Then, the dividing phenomenon of operating points security is reported, which indicates that DSSR boundary of a given distribution network exists. Moreover, an approximation method based on N-1 simulation is proposed in order to find DSSR boundary. Then, the observation results of the DSSR boundary are presented for the expanded RBTS BUS4 case. The topological characteristics of DSSR boundary are further summarized, which show that the DSSR is a dense set and its boundary is approximately linear. This research indicates the existence of DSSR and gives a method to observe it.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"60 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900830","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741711
Linn Saarinen, P. Norrlund, U. Lundin, E. Agneholm, A. Westberg
The grid frequency quality in the Nordic power system has been deteriorating during the last decade. To improve the situation, a better understanding of the system is needed. In this paper, a model of the Nordic power system dynamics with respect to normal operation frequency control is set up and compared with full-scale measurements on the system. The “60 s oscillation” of the grid frequency is measured and explained by the system model.
{"title":"Full-scale test and modelling of the frequency control dynamics of the Nordic power system","authors":"Linn Saarinen, P. Norrlund, U. Lundin, E. Agneholm, A. Westberg","doi":"10.1109/PESGM.2016.7741711","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741711","url":null,"abstract":"The grid frequency quality in the Nordic power system has been deteriorating during the last decade. To improve the situation, a better understanding of the system is needed. In this paper, a model of the Nordic power system dynamics with respect to normal operation frequency control is set up and compared with full-scale measurements on the system. The “60 s oscillation” of the grid frequency is measured and explained by the system model.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831483","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741181
M. Rana, Li Li, S. Su
The smart grid has been considered as a nextgeneration power system to modernize the traditional grid to improve its security, connectivity and sustainability. Unfortunately, the grid is susceptible to malicious cyber attacks, which can create serious technical, economical and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter based method in the context of microgrids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a posterior is used to recover the state information which is affected by random noises and cyber attacks. Once the estimated states are obtained, a semidefinite programming based optimal feedback controller is proposed to regulate the system states. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.
{"title":"Cyber attack protection and control in microgrids using channel code and semidefinite programming","authors":"M. Rana, Li Li, S. Su","doi":"10.1109/PESGM.2016.7741181","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741181","url":null,"abstract":"The smart grid has been considered as a nextgeneration power system to modernize the traditional grid to improve its security, connectivity and sustainability. Unfortunately, the grid is susceptible to malicious cyber attacks, which can create serious technical, economical and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter based method in the context of microgrids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a posterior is used to recover the state information which is affected by random noises and cyber attacks. Once the estimated states are obtained, a semidefinite programming based optimal feedback controller is proposed to regulate the system states. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124332640","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741260
Ling Wu, Yong Liu, D. Zhou, Jiahui Guo, Yilu Liu
Frequency monitoring network (FNET/GridEye), a wide-area monitoring system (WAMS) at distribution level, is known to be able to reveal many insights of power grid dynamics through the real time phasor measurement collected by frequency disturbance recorders (FDRs). A large number of FDR units are currently deployed in several power grids worldwide. This paper focuses on the inertial frequency responses of various bulk power grids over the world based on the observation of FNET/GridEye. It is the first time this kind of research is extended to main power grids worldwide. This paper discloses the frequency response characteristics for different sizes of power grids.
{"title":"Observation of inertial frequency response of main power grids worldwide using FNET/GridEye","authors":"Ling Wu, Yong Liu, D. Zhou, Jiahui Guo, Yilu Liu","doi":"10.1109/PESGM.2016.7741260","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741260","url":null,"abstract":"Frequency monitoring network (FNET/GridEye), a wide-area monitoring system (WAMS) at distribution level, is known to be able to reveal many insights of power grid dynamics through the real time phasor measurement collected by frequency disturbance recorders (FDRs). A large number of FDR units are currently deployed in several power grids worldwide. This paper focuses on the inertial frequency responses of various bulk power grids over the world based on the observation of FNET/GridEye. It is the first time this kind of research is extended to main power grids worldwide. This paper discloses the frequency response characteristics for different sizes of power grids.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127730329","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741156
Mikhail A. Bragin, P. Luh, Joseph H. Yan, G. Stern
Unit Commitment and Economic Dispatch (UCED) with combined cycle (CC) units and AC power flow is an important problem to be solved by ISOs. The problem is difficult because of complicated transitions in CC units and highly non-linear AC power flows. Currently, to solve the problem, transitions among CC states are simplified and AC power flow is approximated with DC power flow. However, the resulting solution may not be consistent with actual operations of power systems. In this paper, a more operational approach of modeling UCED with CC units and AC power flow is developed. Under the frequently used assumption of low network resistance, AC power flow is represented as a monotonic function. Then, the original problem is solved by exploiting the monotonicity through the novel dynamic linearization technique and separability after relaxing coupling system-wide demand constraints. The complexity of resulting subproblems is drastically reduced and linearity is efficiently exploited by using branch-and-cut. Subproblem solutions are efficiently coordinated by our recently developed surrogate Lagrangian relaxation and convergence is guaranteed. Based on a 30-bus system, numerical results demonstrate the new approach is more computationally efficient as compared to Benders decomposition.
{"title":"An efficient approach for Unit Commitment and Economic Dispatch with combined cycle units and AC Power Flow","authors":"Mikhail A. Bragin, P. Luh, Joseph H. Yan, G. Stern","doi":"10.1109/PESGM.2016.7741156","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741156","url":null,"abstract":"Unit Commitment and Economic Dispatch (UCED) with combined cycle (CC) units and AC power flow is an important problem to be solved by ISOs. The problem is difficult because of complicated transitions in CC units and highly non-linear AC power flows. Currently, to solve the problem, transitions among CC states are simplified and AC power flow is approximated with DC power flow. However, the resulting solution may not be consistent with actual operations of power systems. In this paper, a more operational approach of modeling UCED with CC units and AC power flow is developed. Under the frequently used assumption of low network resistance, AC power flow is represented as a monotonic function. Then, the original problem is solved by exploiting the monotonicity through the novel dynamic linearization technique and separability after relaxing coupling system-wide demand constraints. The complexity of resulting subproblems is drastically reduced and linearity is efficiently exploited by using branch-and-cut. Subproblem solutions are efficiently coordinated by our recently developed surrogate Lagrangian relaxation and convergence is guaranteed. Based on a 30-bus system, numerical results demonstrate the new approach is more computationally efficient as compared to Benders decomposition.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126436981","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741207
H. Dagdougui, L. Dessaint, G. Gagnon, K. Al-haddad
In this paper, we propose a system design for a university campus microgrid (UCM) to facilitate research needs in relation to the operation and control of microgrid. This paper proposes the design, modeling and optimal operation of a UCM. The optimal operation aims to minimize the operation costs of photovoltaic system and costs of exchange with the local electrical network. The UCM is aggregating different distributed energy resources with parts of local loads that are co-located in the campus setting. The mathematical modeling of different components of the UCM is proposed. However, the objective of the UCM is to achieve three objectives: 1) to satisfy part of the residential campus loads, 2) to charge employees electric vehicles and 3) to help the campus avoiding peak load in period of high demands.
{"title":"Modeling and optimal operation of a university campus microgrid","authors":"H. Dagdougui, L. Dessaint, G. Gagnon, K. Al-haddad","doi":"10.1109/PESGM.2016.7741207","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741207","url":null,"abstract":"In this paper, we propose a system design for a university campus microgrid (UCM) to facilitate research needs in relation to the operation and control of microgrid. This paper proposes the design, modeling and optimal operation of a UCM. The optimal operation aims to minimize the operation costs of photovoltaic system and costs of exchange with the local electrical network. The UCM is aggregating different distributed energy resources with parts of local loads that are co-located in the campus setting. The mathematical modeling of different components of the UCM is proposed. However, the objective of the UCM is to achieve three objectives: 1) to satisfy part of the residential campus loads, 2) to charge employees electric vehicles and 3) to help the campus avoiding peak load in period of high demands.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128112729","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 : 2016-07-17DOI: 10.1109/PESGM.2016.7741871
Qin Yan, T. Dokic, M. Kezunovic
This study evaluates the outage probability and electricity customer cost under the potential weather caused power blackouts. Risk assessment of the weather impact on customers is implemented and visualized in ArcGIS map. The methodology correlates the historical large power outage events with the corresponding weather condition of the time, uses weather forecast data to assess the risk for customers, and compares the results in different predicted weather conditions.
{"title":"Predicting impact of weather caused blackouts on electricity customers based on risk assessment","authors":"Qin Yan, T. Dokic, M. Kezunovic","doi":"10.1109/PESGM.2016.7741871","DOIUrl":"https://doi.org/10.1109/PESGM.2016.7741871","url":null,"abstract":"This study evaluates the outage probability and electricity customer cost under the potential weather caused power blackouts. Risk assessment of the weather impact on customers is implemented and visualized in ArcGIS map. The methodology correlates the historical large power outage events with the corresponding weather condition of the time, uses weather forecast data to assess the risk for customers, and compares the results in different predicted weather conditions.","PeriodicalId":155315,"journal":{"name":"2016 IEEE Power and Energy Society General Meeting (PESGM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121862717","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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