Pub Date : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230565
Dodla Sidhartha, Lagineni Mahendra, Katta Jagan Mohan, R. Senthil Kumar, B. Bindhumadhava
A Smart grid consists of many digital operations that bring the grid into an intelligent system. One of the key components in the smart grid is the advanced metering infrastructure (AMI). AMI helps to acquire the data from Interface Energy Meters (IEMs), which are geographically dispersed across substations. AMI includes Interface Energy Meters, data concentrator units, IT infrastructure and various communication mediums for meter data transfer like Power-line communication carries (PLCC), Fiber Optics, Very Small Aperture Terminal (VSAT), GSM/GPRS/3G/4G, etc. Instantaneous profile, event profile, load profile and billing profile of meter data is used for load and renewable energy forecasting, scheduling, outage management, power system planning and efficient management of power grid. Any fault/error in AMI components leads to data unavailability. The Communication between the IEMs and control center is vulnerable for various communication channel attacks like meter spoofing attack, authentication attacks, Man-In-The-Middle (MITM) attacks, reply attacks, etc. High availability, reliability and integrity of meter data are a need of the hour for efficient management of power systems operations. The proposed solution helps to achieve fault-tolerant AMI with high-secure data communication between IEMs and control centers by retaining interoperability.
{"title":"Secure and Fault-tolerant Advanced Metering Infrastructure","authors":"Dodla Sidhartha, Lagineni Mahendra, Katta Jagan Mohan, R. Senthil Kumar, B. Bindhumadhava","doi":"10.1109/POWERCON48463.2020.9230565","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230565","url":null,"abstract":"A Smart grid consists of many digital operations that bring the grid into an intelligent system. One of the key components in the smart grid is the advanced metering infrastructure (AMI). AMI helps to acquire the data from Interface Energy Meters (IEMs), which are geographically dispersed across substations. AMI includes Interface Energy Meters, data concentrator units, IT infrastructure and various communication mediums for meter data transfer like Power-line communication carries (PLCC), Fiber Optics, Very Small Aperture Terminal (VSAT), GSM/GPRS/3G/4G, etc. Instantaneous profile, event profile, load profile and billing profile of meter data is used for load and renewable energy forecasting, scheduling, outage management, power system planning and efficient management of power grid. Any fault/error in AMI components leads to data unavailability. The Communication between the IEMs and control center is vulnerable for various communication channel attacks like meter spoofing attack, authentication attacks, Man-In-The-Middle (MITM) attacks, reply attacks, etc. High availability, reliability and integrity of meter data are a need of the hour for efficient management of power systems operations. The proposed solution helps to achieve fault-tolerant AMI with high-secure data communication between IEMs and control centers by retaining interoperability.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116857118","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230556
Shinjan Mitra, Kevin Joshi, K. Ramamritham
Under the broader aegis of smart grid, the use of Distributed Ledger Technology to promote privacy, trust and security in peer-to-peer (P2P) energy sharing is gaining attention globally. However, implementation is limited to microgrid or neighbourhood level due to the challenges of scalability and performance associated with increase in number of prosumers. Therefore, the inclusion of stakeholders- producers to prosumers-require a scalable solution for advancing the information and energy exchange objectives. To this end, we propose CEnTrA, an application of sharding in blockchain to develop a novel hierarchical model capable of processing P2P energy sharing transactions at city-scale. CEnTrA is based on ChainSpace and takes advantage of the structure of the electrical grid to create a scalable network. The hierarchical model allows the use of customized transaction policies at different levels and locations of the grid. The results show that sharding increases transaction throughput by upto 59.52% in comparison to no sharding. Additionally, a location-based sharding model is presented that improves performance of multi-input transactions by 39.57% for 250 inputs in comparison to random sharding.
{"title":"CEnTrA: City-scale Energy Transaction Application for the Smart Grid","authors":"Shinjan Mitra, Kevin Joshi, K. Ramamritham","doi":"10.1109/POWERCON48463.2020.9230556","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230556","url":null,"abstract":"Under the broader aegis of smart grid, the use of Distributed Ledger Technology to promote privacy, trust and security in peer-to-peer (P2P) energy sharing is gaining attention globally. However, implementation is limited to microgrid or neighbourhood level due to the challenges of scalability and performance associated with increase in number of prosumers. Therefore, the inclusion of stakeholders- producers to prosumers-require a scalable solution for advancing the information and energy exchange objectives. To this end, we propose CEnTrA, an application of sharding in blockchain to develop a novel hierarchical model capable of processing P2P energy sharing transactions at city-scale. CEnTrA is based on ChainSpace and takes advantage of the structure of the electrical grid to create a scalable network. The hierarchical model allows the use of customized transaction policies at different levels and locations of the grid. The results show that sharding increases transaction throughput by upto 59.52% in comparison to no sharding. Additionally, a location-based sharding model is presented that improves performance of multi-input transactions by 39.57% for 250 inputs in comparison to random sharding.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116254649","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230634
P. Manohar, Chandrasekhar Reddy Atla
Reliability evaluation of power distribution systems is a key aspect to assess system performance in terms of interruptions. Probabilistic evaluation methods are widely used for reliability analysis to handle uncertainties. These methods become computationally burden with increase in size of the power system. Quasi-Monte Carlo (QMC) is an advanced Monte Carlo (MC) method to improve the accuracy and computation time. This paper studies the impacts of Low Discrepancy Sequences (LDS) on sampling of failure and repair rates in Monte Carlo simulation (MCS) based approach. Low Discrepancy or Quasi-Random sequences samples the failure states more uniformly than a pseudo-random sample. This study investigates the reliability performance of the distribution system for Van Der Corput (VDC) and Halton sequences. The proposed Quasi Random Monte Carlo Simulation (QRMCS) algorithm is validated with analytical and MCS methods using IEEE RBTS test system. Further the predictive reliability assessment is carried out for a practical 11kV Indian radial distribution system. Results demonstrate that the QRMCS method converges faster than MCS for a specific level of accuracy.
配电系统的可靠性评估是在中断情况下评估系统性能的一个重要方面。概率评估方法被广泛用于可靠性分析，以处理不确定性。随着电力系统规模的增大，这些方法的计算量越来越大。准蒙特卡罗(Quasi-Monte Carlo, QMC)是一种改进的蒙特卡罗(Monte Carlo)方法，可以提高计算精度和计算时间。本文研究了基于蒙特卡罗仿真(MCS)方法的低差异序列(LDS)对故障采样和修复率的影响。低差异或准随机序列比伪随机样本更均匀地采样故障状态。本文研究了范德康普(VDC)和霍尔顿(Halton)序列配电系统的可靠性性能。在IEEE RBTS测试系统上，采用解析法和随机蒙特卡罗模拟(Quasi Random Monte Carlo Simulation, QRMCS)方法对提出的算法进行了验证。并对一个实际的11kV印度径向配电系统进行了预测可靠性评估。结果表明，在特定精度水平下，QRMCS方法比MCS方法收敛速度更快。
{"title":"Evaluation of Impact of Low Discrepancy Sequences on Predictive Reliability Assessment of Distribution System","authors":"P. Manohar, Chandrasekhar Reddy Atla","doi":"10.1109/POWERCON48463.2020.9230634","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230634","url":null,"abstract":"Reliability evaluation of power distribution systems is a key aspect to assess system performance in terms of interruptions. Probabilistic evaluation methods are widely used for reliability analysis to handle uncertainties. These methods become computationally burden with increase in size of the power system. Quasi-Monte Carlo (QMC) is an advanced Monte Carlo (MC) method to improve the accuracy and computation time. This paper studies the impacts of Low Discrepancy Sequences (LDS) on sampling of failure and repair rates in Monte Carlo simulation (MCS) based approach. Low Discrepancy or Quasi-Random sequences samples the failure states more uniformly than a pseudo-random sample. This study investigates the reliability performance of the distribution system for Van Der Corput (VDC) and Halton sequences. The proposed Quasi Random Monte Carlo Simulation (QRMCS) algorithm is validated with analytical and MCS methods using IEEE RBTS test system. Further the predictive reliability assessment is carried out for a practical 11kV Indian radial distribution system. Results demonstrate that the QRMCS method converges faster than MCS for a specific level of accuracy.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123547453","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230563
Sitara Kumbale, Josh Pius, Reddiprasad Reddivari, D. Jena
A power electronic converter should support high efficiency and high reliability to improve renewable energy connected to grid applications. Notably, low power photovoltaic (PV) applications use module-level DC-DC and DC-AC converters, where the minimum and maximum operating voltage ranges of the power conversion system is decided by DC-DC converter topology. These DC-DC converters highly suffer in the process of maximum power point tracking under extreme weather conditions and are installed with limited maintenance in remote locations. These cumulative factors make the power converters vulnerable and likely to fail early in the photovoltaic system, though the lifetime of the PV panels is about 25–30 years. To ensure longetivity, the power electronic converter must satisfy high efficiency and high-reliability demands even at extreme weather and loading conditions. Taking these constraints into account, this paper introduces a simple algorithm for understanding the component level reliability of power electronic converters under various input voltage, load, and ambient temperature conditions. The suggested algorithm can be modified depending on the topology of the converter The process involves defining critical components, assessing failure prognosis, and establishing a criterion to estimate failure time. The reliability evaluation of a conventional boost converter, Z-source inverter, and improved gamma type-YSI is presented in this paper as examples of the proposed algorithm. The electro-thermal circuit simulation in PLECS is used to validate the effectiveness of the proposed reliability algorithm.
{"title":"Component Level Reliability Evaluation of Boost Converter, Z-Source, and Improved Gamma Type YSource Inverters","authors":"Sitara Kumbale, Josh Pius, Reddiprasad Reddivari, D. Jena","doi":"10.1109/POWERCON48463.2020.9230563","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230563","url":null,"abstract":"A power electronic converter should support high efficiency and high reliability to improve renewable energy connected to grid applications. Notably, low power photovoltaic (PV) applications use module-level DC-DC and DC-AC converters, where the minimum and maximum operating voltage ranges of the power conversion system is decided by DC-DC converter topology. These DC-DC converters highly suffer in the process of maximum power point tracking under extreme weather conditions and are installed with limited maintenance in remote locations. These cumulative factors make the power converters vulnerable and likely to fail early in the photovoltaic system, though the lifetime of the PV panels is about 25–30 years. To ensure longetivity, the power electronic converter must satisfy high efficiency and high-reliability demands even at extreme weather and loading conditions. Taking these constraints into account, this paper introduces a simple algorithm for understanding the component level reliability of power electronic converters under various input voltage, load, and ambient temperature conditions. The suggested algorithm can be modified depending on the topology of the converter The process involves defining critical components, assessing failure prognosis, and establishing a criterion to estimate failure time. The reliability evaluation of a conventional boost converter, Z-source inverter, and improved gamma type-YSI is presented in this paper as examples of the proposed algorithm. The electro-thermal circuit simulation in PLECS is used to validate the effectiveness of the proposed reliability algorithm.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122681696","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230580
Vikram Cherala, Charan Teja S, P. Yemula
With the growth in residential rooftop microgrids (MGs), consumers are becoming prosumers. Prosumers tend to inject the excess solar-generated into the grid. This leads to an increase in people participating in the electricity market. Under this scenario, market clearance is one of the major challenges for electricity markets. Apart from selling power to the grid with the advent of peer to peer mechanisms for energy transactions, the number of transactions in the electricity market is increasing. In this context, the objective of this paper is to demonstrate the savings maximization for a prosumer using peer to peer mechanism. This paper proposes two models for energy sharing in p2p mechanism, namely (i) preferential energy sharing and (ii) proportional energy sharing. Preferential energy sharing mechanism where the prosumer with high solar availability is given the higher priority in selling the power either to the community or to the grid. Proportional energy sharing divides the energy proportionally based on solar power injection and consumption. A comparison study among the two mechanisms is performed considering four MGs, and grid time of use pricing is considered. It is observed that preferential sharing provides a reduction in the electricity bill of 4.36 % when compared to selling to grid. Similarly, proportional energy sharing results in 5.81 % reduction in the electricity bills. Based on these observations, it is concluded that proportional energy sharing peer to peer mechanism will result in more amount of energy savings.
{"title":"Peer-to-Peer Energy Sharing Model for Interconnected Home Microgrids","authors":"Vikram Cherala, Charan Teja S, P. Yemula","doi":"10.1109/POWERCON48463.2020.9230580","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230580","url":null,"abstract":"With the growth in residential rooftop microgrids (MGs), consumers are becoming prosumers. Prosumers tend to inject the excess solar-generated into the grid. This leads to an increase in people participating in the electricity market. Under this scenario, market clearance is one of the major challenges for electricity markets. Apart from selling power to the grid with the advent of peer to peer mechanisms for energy transactions, the number of transactions in the electricity market is increasing. In this context, the objective of this paper is to demonstrate the savings maximization for a prosumer using peer to peer mechanism. This paper proposes two models for energy sharing in p2p mechanism, namely (i) preferential energy sharing and (ii) proportional energy sharing. Preferential energy sharing mechanism where the prosumer with high solar availability is given the higher priority in selling the power either to the community or to the grid. Proportional energy sharing divides the energy proportionally based on solar power injection and consumption. A comparison study among the two mechanisms is performed considering four MGs, and grid time of use pricing is considered. It is observed that preferential sharing provides a reduction in the electricity bill of 4.36 % when compared to selling to grid. Similarly, proportional energy sharing results in 5.81 % reduction in the electricity bills. Based on these observations, it is concluded that proportional energy sharing peer to peer mechanism will result in more amount of energy savings.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122872640","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230551
Raghumanth A, R. Joseph
DC Micro-grids have traditionally had end use loads that are either rated to operate on the nominal rated AC supply, fed by inverters downstream of the energy storage device, or low voltage DC loads which are specifically designed for the appropriate DC voltage level. This increases the overall cost of the system. The recent trend in consumer appliances is to have a front end converter at the input, and this enables operation on both AC and DC, thereby enabling the use of a DC supply to directly power such appliances. This paper proposes a DC microgrid that is compatible with existing consumer appliances thereby increasing the acceptability of such a system. The reliability of the proposed system is also higher than existing low voltage DC micro-grid systems with inverters to condition the supply for commercially available consumer appliances. A variety of commercially available household appliances is tested on the proposed DC Micro-grid, and the results confirm satisfactory operation. Low cost modifications are also suggested for certain classes of loads to make them compatible with the proposed DC micro-grid.
{"title":"A Minimally Disruptive D-C Micro Grid for Hybrid Consumer Applications","authors":"Raghumanth A, R. Joseph","doi":"10.1109/POWERCON48463.2020.9230551","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230551","url":null,"abstract":"DC Micro-grids have traditionally had end use loads that are either rated to operate on the nominal rated AC supply, fed by inverters downstream of the energy storage device, or low voltage DC loads which are specifically designed for the appropriate DC voltage level. This increases the overall cost of the system. The recent trend in consumer appliances is to have a front end converter at the input, and this enables operation on both AC and DC, thereby enabling the use of a DC supply to directly power such appliances. This paper proposes a DC microgrid that is compatible with existing consumer appliances thereby increasing the acceptability of such a system. The reliability of the proposed system is also higher than existing low voltage DC micro-grid systems with inverters to condition the supply for commercially available consumer appliances. A variety of commercially available household appliances is tested on the proposed DC Micro-grid, and the results confirm satisfactory operation. Low cost modifications are also suggested for certain classes of loads to make them compatible with the proposed DC micro-grid.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126273087","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230532
Aman Gautam, R. Shukla, K. Kishore, Priyam Jain, R. Porwal, N. Nallarasan
Frequency is a vital indicator for the reliable operation of power systems. The frequency of major power systems around the world vary only slightly around the nominal frequency. The variation is mostly on account of dynamically changing demands, changes in generation and variation of renewable generation with increasing penetration of renewable energy based generation. The various controls have been put in place to control the variations in frequency. The quality of frequency is of importance to system operators as the various frequency control measures operate as per the settings identified by them. The variations in frequency affect the dynamics of power system and require analysis of past data to arrive at effective conclusions. The behavior of frequency in different time scales ranging from minutes of an hour to months of a year has been found to have a definite pattern. The analysis of pattern so derived can be a vital input in short, medium and long term operational planning. The Phasor Measurement Units (PMU) help in providing high resolution accurate data from various locations in a power system. This paper presents the analysis of Indian Power system frequency of 5 years and derives important conclusions.
{"title":"Analyses of Indian Power System Frequency","authors":"Aman Gautam, R. Shukla, K. Kishore, Priyam Jain, R. Porwal, N. Nallarasan","doi":"10.1109/POWERCON48463.2020.9230532","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230532","url":null,"abstract":"Frequency is a vital indicator for the reliable operation of power systems. The frequency of major power systems around the world vary only slightly around the nominal frequency. The variation is mostly on account of dynamically changing demands, changes in generation and variation of renewable generation with increasing penetration of renewable energy based generation. The various controls have been put in place to control the variations in frequency. The quality of frequency is of importance to system operators as the various frequency control measures operate as per the settings identified by them. The variations in frequency affect the dynamics of power system and require analysis of past data to arrive at effective conclusions. The behavior of frequency in different time scales ranging from minutes of an hour to months of a year has been found to have a definite pattern. The analysis of pattern so derived can be a vital input in short, medium and long term operational planning. The Phasor Measurement Units (PMU) help in providing high resolution accurate data from various locations in a power system. This paper presents the analysis of Indian Power system frequency of 5 years and derives important conclusions.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131750345","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230543
Chetan Kumar Kuraganti, Bryan Paul Robert, G. Gurrala, Arun Babu Puthuparambil, R. Sundaresan
Recent cyber-attacks on power grids highlight the necessity to protect the critical functionalities vital for the safe operation of a grid. One such example is the power grid state estimation (SE), since various attacks can be launched by manipulating the SE results. In this paper, we propose a distributed hierarchy based framework to secure SE on edge devices. The data for SE is acquired from the phasor measurement units (PMUs) installed at various locations within the grid. These PMUs may be reprogrammed by a malicious actor to manipulate the data which may cause SE results to be inaccurate. Moreover, SE is carried out at a fixed central location, which makes it a prime target for cyber-attacks. Our proposed framework ensures that data aggregation and SE are carried out at a random device, and incorporates security features such as attestation and trust management to detect malicious devices. We test our proposed framework on a physical cluster of Parallella boards, monitoring a virtual IEEE 5 bus system. We also do simulations on the IEEE 118 bus system. Our simulations show that the trust for malicious devices nominally reduces with the number of attestations.
{"title":"A Distributed Hierarchy Based Framework for Validating Edge Devices Performing State Estimation in a Power System","authors":"Chetan Kumar Kuraganti, Bryan Paul Robert, G. Gurrala, Arun Babu Puthuparambil, R. Sundaresan","doi":"10.1109/POWERCON48463.2020.9230543","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230543","url":null,"abstract":"Recent cyber-attacks on power grids highlight the necessity to protect the critical functionalities vital for the safe operation of a grid. One such example is the power grid state estimation (SE), since various attacks can be launched by manipulating the SE results. In this paper, we propose a distributed hierarchy based framework to secure SE on edge devices. The data for SE is acquired from the phasor measurement units (PMUs) installed at various locations within the grid. These PMUs may be reprogrammed by a malicious actor to manipulate the data which may cause SE results to be inaccurate. Moreover, SE is carried out at a fixed central location, which makes it a prime target for cyber-attacks. Our proposed framework ensures that data aggregation and SE are carried out at a random device, and incorporates security features such as attestation and trust management to detect malicious devices. We test our proposed framework on a physical cluster of Parallella boards, monitoring a virtual IEEE 5 bus system. We also do simulations on the IEEE 118 bus system. Our simulations show that the trust for malicious devices nominally reduces with the number of attestations.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116809137","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230593
Karam Husen Khan, Khagendra Bahadur Thapa, Nava Raj Karki
An optimization model based protection coordination method of directional overcurrent relays (DOCRs) in highly interconnected large size meshed power system network is a complex task due to its nature of highly constrained non-linear optimization problem. To overcome this complexity of DOCRs coordination, this paper proposes an optimal protection coordination of DOCRs considering optimal selection of standard time-current characteristic curves using enhanced linear population size reduction technique of success history based adaptive differential evolution (enhanced L-SHADE/eL-SHADE) algorithm which is an advanced version of differential evolution (DE) algorithm. The conventional L-SHADE algorithm is enhanced in three steps with a novel mutation strategy, incorporation of random local search by sequential quadratic programming and non-linear population size reduction scheme. Furthermore, an effectiveness of the proposed algorithm is validated by testing it on standard IEEE-30 bus and 57 bus meshed networks. A promising and highly competitive simulation results are obtained when compared with similar results presented in reference articles by other optimization algorithms. The evaluation criteria of the eL-SHADE algorithm is considered on the basis of objective function value, standard deviation, execution time and violation of constraints.
{"title":"Optimal Coordination of Directional Overcurrent Relays Using Enhanced L-SHADE Algorithm","authors":"Karam Husen Khan, Khagendra Bahadur Thapa, Nava Raj Karki","doi":"10.1109/POWERCON48463.2020.9230593","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230593","url":null,"abstract":"An optimization model based protection coordination method of directional overcurrent relays (DOCRs) in highly interconnected large size meshed power system network is a complex task due to its nature of highly constrained non-linear optimization problem. To overcome this complexity of DOCRs coordination, this paper proposes an optimal protection coordination of DOCRs considering optimal selection of standard time-current characteristic curves using enhanced linear population size reduction technique of success history based adaptive differential evolution (enhanced L-SHADE/eL-SHADE) algorithm which is an advanced version of differential evolution (DE) algorithm. The conventional L-SHADE algorithm is enhanced in three steps with a novel mutation strategy, incorporation of random local search by sequential quadratic programming and non-linear population size reduction scheme. Furthermore, an effectiveness of the proposed algorithm is validated by testing it on standard IEEE-30 bus and 57 bus meshed networks. A promising and highly competitive simulation results are obtained when compared with similar results presented in reference articles by other optimization algorithms. The evaluation criteria of the eL-SHADE algorithm is considered on the basis of objective function value, standard deviation, execution time and violation of constraints.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114272588","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230574
N. George, O. Naidu
Knowledge of accurate zero-sequence line impedance parameters of transmission lines is critical for power system engineers since they play a key role in the settings of distance and directional protection relays, and fault location applications. Double-circuit transmission lines involve zero-sequence mutual impedance due to mutual coupling between the conductors, in addition to the self-impedance. The paper presents an offline estimation technique for zero-sequence self and mutual impedance parameters for double-circuit transmission lines using data from disturbance recorders from both terminals. The most accurate distributed parameter line model is used, and simulation tests prove the accuracy of the algorithm. The application of zero-sequence mutual coupling compensation in distance protection of double-circuit lines using the estimated parameters is also presented.
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