Pub Date : 2018-04-16DOI: 10.1109/TDC.2018.8440471
V. Krishnan, Y. Zhang, K. Kaur, A. Hahn, A. Srivastava, S. Sindhu
Demand response and active participation of residential houses are expected to play a critical role in the future smart grids. Market based transactive exchanges between prosumers are triggered by the increased deployments of renewable generations and microgrid architectures. Transactive Energy Systems (TES) employ economic and control mechanisms to dynamically balance the demand and supply across the full electrical grid. Effective transactive mechanisms leverage on a large number of distributed edge-computing and a communication architecture. Given the prolific usage of digital devices, the assets within a transactive environment are vulnerable to cyber threats. In this paper, various components within a transactive environment are represented and modelled. The effect of cyber attacks on the operation of transactive energy systems is studied through proxy attacks simulated on the test system.
{"title":"Cyber-Security Analysis of Transactive Energy Systems","authors":"V. Krishnan, Y. Zhang, K. Kaur, A. Hahn, A. Srivastava, S. Sindhu","doi":"10.1109/TDC.2018.8440471","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440471","url":null,"abstract":"Demand response and active participation of residential houses are expected to play a critical role in the future smart grids. Market based transactive exchanges between prosumers are triggered by the increased deployments of renewable generations and microgrid architectures. Transactive Energy Systems (TES) employ economic and control mechanisms to dynamically balance the demand and supply across the full electrical grid. Effective transactive mechanisms leverage on a large number of distributed edge-computing and a communication architecture. Given the prolific usage of digital devices, the assets within a transactive environment are vulnerable to cyber threats. In this paper, various components within a transactive environment are represented and modelled. The effect of cyber attacks on the operation of transactive energy systems is studied through proxy attacks simulated on the test system.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"24 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81148732","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 : 2018-04-16DOI: 10.1109/TDC.2018.8440304
N. Gupta, Griffin D. Francis, Juan Ospina, Alvi Newaz, E. Collins, O. Faruque, R. Meeker, Mario Harper
Solar power availability is intermittent and must be accompanied by an energy storage system (ESS) so that the effect of variability can be minimized. Hence, a strategy is needed to find the optimum combination of grid power, solar power, and power from the ESS so that the total cost of energy can be minimized. A solution to this problem is proposed here as Advanced Optimal Resource Allocation (AORA). This control scheme uses the prediction of Photovoltaic (PV) power availability, the real-time price of energy, and the levelized cost of energy for both PV and ESS to optimally combine the dispatch of power sources. Simulation results are presented for a 24 h prediction window and compared with a baseline power usage scheme that is based on a fixed charging and discharging schedule for the ESS. The comparison shows that AORA results in a substantial cost savings over the baseline scheme.
{"title":"Cost Optimal Control of Microgrids Having Solar Power and Energy Storage","authors":"N. Gupta, Griffin D. Francis, Juan Ospina, Alvi Newaz, E. Collins, O. Faruque, R. Meeker, Mario Harper","doi":"10.1109/TDC.2018.8440304","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440304","url":null,"abstract":"Solar power availability is intermittent and must be accompanied by an energy storage system (ESS) so that the effect of variability can be minimized. Hence, a strategy is needed to find the optimum combination of grid power, solar power, and power from the ESS so that the total cost of energy can be minimized. A solution to this problem is proposed here as Advanced Optimal Resource Allocation (AORA). This control scheme uses the prediction of Photovoltaic (PV) power availability, the real-time price of energy, and the levelized cost of energy for both PV and ESS to optimally combine the dispatch of power sources. Simulation results are presented for a 24 h prediction window and compared with a baseline power usage scheme that is based on a fixed charging and discharging schedule for the ESS. The comparison shows that AORA results in a substantial cost savings over the baseline scheme.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"19 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81805773","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 : 2018-04-16DOI: 10.1109/TDC.2018.8440234
Fuyong Zhang, Biyun Chen
Aiming at the complexity and ambiguity of the risk of substation operation, a risk assessment method of substation operation based on the triangular fuzzy number AHP method and cloud model is presented. The risk assessment of substation operation is a complex multi-factor comprehensive evaluation process. Based on the principle of system engineering, the risk assessment index system for substation operation is established in four aspects: “man, machine, environment and management”. Triangular fuzzy number AHP (Analytic Hierarchy Process) is applied to calculate the weight for each index and backward cloud generator is used to transform the marking results of experts into the numerical characteristics of the cloud model for each index. The comprehensive cloud picture and the whole evaluation cloud picture are produced by the positive cloud generator. The results show that the proposed indexes and evaluation method can reflect the risk level of substation operation intuitively, flexibly and accurately.
{"title":"Risk Assessment for Substation Operation Based on Triangular Fuzzy Number AHP and Cloud Model","authors":"Fuyong Zhang, Biyun Chen","doi":"10.1109/TDC.2018.8440234","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440234","url":null,"abstract":"Aiming at the complexity and ambiguity of the risk of substation operation, a risk assessment method of substation operation based on the triangular fuzzy number AHP method and cloud model is presented. The risk assessment of substation operation is a complex multi-factor comprehensive evaluation process. Based on the principle of system engineering, the risk assessment index system for substation operation is established in four aspects: “man, machine, environment and management”. Triangular fuzzy number AHP (Analytic Hierarchy Process) is applied to calculate the weight for each index and backward cloud generator is used to transform the marking results of experts into the numerical characteristics of the cloud model for each index. The comprehensive cloud picture and the whole evaluation cloud picture are produced by the positive cloud generator. The results show that the proposed indexes and evaluation method can reflect the risk level of substation operation intuitively, flexibly and accurately.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"53 16","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91453508","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 : 2018-04-16DOI: 10.1109/TDC.2018.8440513
Gan Zhou, Rui Bo, Lungsheng Chien
In many power system applications such as N-x static security analysis and Monte-Carlo-simulation-based probabilistic power flow (PF) analysis, it is a very time consuming task to analyze massive number of power flows (PF) on identical or similar network topology. This letter presents a novel GPU-accelerated batch LU-factorization solver that achieves higher level of parallelism and better memory-access efficiency through packaging massive number of LU-factorization tasks to formulate a new larger-scale problem. The proposed solver can achieve up to 76 times speedup when compared to KLU library and lays a critical foundation for massive-PFs-solving applications.
{"title":"GPU-Based Batch LU-Factorization Solver for Concurrent Analysis of Massive Power Flows","authors":"Gan Zhou, Rui Bo, Lungsheng Chien","doi":"10.1109/TDC.2018.8440513","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440513","url":null,"abstract":"In many power system applications such as N-x static security analysis and Monte-Carlo-simulation-based probabilistic power flow (PF) analysis, it is a very time consuming task to analyze massive number of power flows (PF) on identical or similar network topology. This letter presents a novel GPU-accelerated batch LU-factorization solver that achieves higher level of parallelism and better memory-access efficiency through packaging massive number of LU-factorization tasks to formulate a new larger-scale problem. The proposed solver can achieve up to 76 times speedup when compared to KLU library and lays a critical foundation for massive-PFs-solving applications.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"13 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88983124","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 : 2018-04-16DOI: 10.1109/TDC.2018.8440554
Muhammad Humavun, J. Schoene, D. Mueller, C. Pallem
This paper presents a statistical lightning performance study conducted for a North American 230 kV transmission line in order to investigate a shielding failure flashover that caused equipment damages. The study is performed in IEEE Flash program by using actual design and field-measured data. The investigation results are presented in terms of estimated total flashover (back-flash and shielding failure flash) rates and corresponding critical currents. The total flashover rates for the entire transmission line are also computed from the lightning performance results of individual tower structures and connected conductors. Moreover, a sensitivity analysis is furnished in order to assess the influence of tower footing resistance on the results. The obtained results indicate that the probability of occurrence of a shielding failure on the line is low. However, the utility should install lightning arrester at least at the substation entrances in order to mitigate the likelihood of future equipment damage.
{"title":"Case Study of the Lightning Performance of a 230 kV Transmission Line","authors":"Muhammad Humavun, J. Schoene, D. Mueller, C. Pallem","doi":"10.1109/TDC.2018.8440554","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440554","url":null,"abstract":"This paper presents a statistical lightning performance study conducted for a North American 230 kV transmission line in order to investigate a shielding failure flashover that caused equipment damages. The study is performed in IEEE Flash program by using actual design and field-measured data. The investigation results are presented in terms of estimated total flashover (back-flash and shielding failure flash) rates and corresponding critical currents. The total flashover rates for the entire transmission line are also computed from the lightning performance results of individual tower structures and connected conductors. Moreover, a sensitivity analysis is furnished in order to assess the influence of tower footing resistance on the results. The obtained results indicate that the probability of occurrence of a shielding failure on the line is low. However, the utility should install lightning arrester at least at the substation entrances in order to mitigate the likelihood of future equipment damage.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85597542","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 : 2018-04-16DOI: 10.1109/TDC.2018.8440251
F. Hafiz, D. Lubkeman, I. Husain, P. Fajri
In this paper, control of solar energy storage in a residential household is presented using Dynamic Programming (DP) algorithm with the objective of minimizing the overall cost of daily household load demand. The DP algorithm is designed to optimally manage the charge/discharge cycles of the household energy storage unit and maximize homeowner benefit. Moreover, the Net Present Value (NPV) is calculated and used for optimal PV panel and energy storage capacity sizing while taking into account the household load demand for different seasons and the Time-of-Use (ToU) electricity price. The DP based control strategy has also been compared with a heuristic control strategy which shows the superior performance of the former.
{"title":"Energy Storage Management Strategy Based on Dynamic Programming and Optimal Sizing of PV Panel-Storage Capacity for a Residential System","authors":"F. Hafiz, D. Lubkeman, I. Husain, P. Fajri","doi":"10.1109/TDC.2018.8440251","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440251","url":null,"abstract":"In this paper, control of solar energy storage in a residential household is presented using Dynamic Programming (DP) algorithm with the objective of minimizing the overall cost of daily household load demand. The DP algorithm is designed to optimally manage the charge/discharge cycles of the household energy storage unit and maximize homeowner benefit. Moreover, the Net Present Value (NPV) is calculated and used for optimal PV panel and energy storage capacity sizing while taking into account the household load demand for different seasons and the Time-of-Use (ToU) electricity price. The DP based control strategy has also been compared with a heuristic control strategy which shows the superior performance of the former.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"69 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83265160","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 : 2018-04-12DOI: 10.1109/TDC.2018.8440329
A. D. Banadaki, A. Feliachi, V. Kulathumani
Centralized secondary voltage control in a power system has been replaced by the distributed controller in the recent literature due to its high dependency on extensive communication messages. Although in the new method each distributed generator only communicate with its neighbors to control the voltage, yet the messages are circulating among the whole system. In this paper, we have utilized distributed controller locally so that it will work as a fully distributed control system. This controller has been justified by being studied within a case study including 6 distributed generators.
{"title":"Fully Distributed Secondary Voltage Control in Inverter-Based Microgrids","authors":"A. D. Banadaki, A. Feliachi, V. Kulathumani","doi":"10.1109/TDC.2018.8440329","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440329","url":null,"abstract":"Centralized secondary voltage control in a power system has been replaced by the distributed controller in the recent literature due to its high dependency on extensive communication messages. Although in the new method each distributed generator only communicate with its neighbors to control the voltage, yet the messages are circulating among the whole system. In this paper, we have utilized distributed controller locally so that it will work as a fully distributed control system. This controller has been justified by being studied within a case study including 6 distributed generators.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76043593","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 : 2018-04-01DOI: 10.1109/TDC.2018.8440343
Liping Wu
This paper introduces the inference procedures based on Bayes theorem to perform point and interval estimations on a simulated wood pole line population. The objective is to define the scope of replacement according to wood pole condition assessment rules developed by asset analytics. The construction of prior distribution by numerical simulation provides an example to explain how it works with sampling evidence to calculate the posterior distribution. The results are also compared with estimations by classical statistics. Discussions of asset condition scoring algorithm, logistic regression, Bernoulli process and Bayes theorem are included in the paper.
{"title":"Application of Bayesian Inference in Wood Pole Line Condition Assessment","authors":"Liping Wu","doi":"10.1109/TDC.2018.8440343","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440343","url":null,"abstract":"This paper introduces the inference procedures based on Bayes theorem to perform point and interval estimations on a simulated wood pole line population. The objective is to define the scope of replacement according to wood pole condition assessment rules developed by asset analytics. The construction of prior distribution by numerical simulation provides an example to explain how it works with sampling evidence to calculate the posterior distribution. The results are also compared with estimations by classical statistics. Discussions of asset condition scoring algorithm, logistic regression, Bernoulli process and Bayes theorem are included in the paper.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"7 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75031050","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 : 2018-04-01DOI: 10.1109/TDC.2018.8440137
A. Jain, B. Mather
Clustering has received a lot of focus globally in recent years to determine representative feeders for validating smart grid technologies; however, clear reasoning on why a particular technique was used to accomplish a clustering step and whether similar results can be obtained from different techniques has not been reported. Further, and most importantly, validating final representative feeders and clusters when a sizeable feeder data set is used has not been completed. This paper addresses these issues. This paper also highlights the parameters that were determined to be critical for photovoltaic hosting capacity based on this analysis.
{"title":"Clustering Methods and Validation of Representative Distribution Feeders","authors":"A. Jain, B. Mather","doi":"10.1109/TDC.2018.8440137","DOIUrl":"https://doi.org/10.1109/TDC.2018.8440137","url":null,"abstract":"Clustering has received a lot of focus globally in recent years to determine representative feeders for validating smart grid technologies; however, clear reasoning on why a particular technique was used to accomplish a clustering step and whether similar results can be obtained from different techniques has not been reported. Further, and most importantly, validating final representative feeders and clusters when a sizeable feeder data set is used has not been completed. This paper addresses these issues. This paper also highlights the parameters that were determined to be critical for photovoltaic hosting capacity based on this analysis.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"27 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84318882","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 : 2018-04-01DOI: 10.1109/tdc.2018.8440543
Nachum Sadan, B. Renz
Islanding of Distributed Energy Resources (DER) is a growing concern as penetration increases. Traditional anti-islanding schemes become less dependable with high levels of penetration. This paper describes a new way to detect and prevent islanding by continuously monitoring the continuity of connection between the utility source and the DER.
{"title":"A New Approach to Anti-Islanding: Design, Installation and In-Service Experience","authors":"Nachum Sadan, B. Renz","doi":"10.1109/tdc.2018.8440543","DOIUrl":"https://doi.org/10.1109/tdc.2018.8440543","url":null,"abstract":"Islanding of Distributed Energy Resources (DER) is a growing concern as penetration increases. Traditional anti-islanding schemes become less dependable with high levels of penetration. This paper describes a new way to detect and prevent islanding by continuously monitoring the continuity of connection between the utility source and the DER.","PeriodicalId":6568,"journal":{"name":"2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84970530","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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