2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)最新文献

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Mobile Agents for Route Planning in Internet of Things Using Markov Decision Process 基于马尔可夫决策过程的移动智能体物联网路径规划
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499517
Shamim Yousefi, F. Derakhshan, Ayub Bokani
{"title":"Mobile Agents for Route Planning in Internet of Things Using Markov Decision Process","authors":"Shamim Yousefi, F. Derakhshan, Ayub Bokani","doi":"10.1109/SEGE.2018.8499517","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499517","url":null,"abstract":"Using mobile agents for data aggregation in ad-hoc networks is a promising approach and gains more popularity every day. However, these agents need an efficient rout planning to optimize the quality of service (QoS) which is a very challenging task in such uncertain environment. Numerous previous works have presented different schemes for route planning of mobile agents in wireless sensor networks. Similarly, some other approaches have proposed the use of mobile agents for data aggregation in the Internet of Things (IoT). However, current approaches for route planning of mobile agents do not satisfy the requirements of the internet of things, due to the mobile and heterogeneous IoT nodes. In this paper, we propose an intelligent rout planning that enables mobile agents in IoT systems to make the best decision for selecting the next node in different moments. We use Markov Decision Process (MDP) as the underlying optimization model, which is well-known on its effectiveness to optimize decision making under uncertainty. In this model, we consider the distance between the nodes from each other, the distance between the nodes and the sink, residual energy of the nodes and the priority of them as the MDP parameters. Our proposed method could improve the energy consumption of IoT nodes and the life time of the system. Furthermore, our proposed method tries to maximize the reliability of the network and enhances data transmission delay.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129685058","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}
引用次数: 15
Firewall for Attribute-Based Access Control in Smart Grids 智能电网中基于属性访问控制的防火墙
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499306
C. Ruland, J. Sassmannshausen
{"title":"Firewall for Attribute-Based Access Control in Smart Grids","authors":"C. Ruland, J. Sassmannshausen","doi":"10.1109/SEGE.2018.8499306","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499306","url":null,"abstract":"This paper sets the focus on Attribute-based Access Control (ABAC) in Smart Grid environments such as substation automation scenarios. IEC 62351-8 describes Role-based Access Control (RBAC) and gives general guidance, but does not specify details. The development is often application specific, and typical challenges are legacy devices that cannot be updated to support additional features such as certain security services. This contribution describes the development of a firewall that implements Attribute-based Access Control based on XACML to protect end systems from unauthorized access and commands It includes the description and implementation of common attribute-based access control policies and the description a system to distribute attributes. Finally, the paper demonstrates performance evaluation results for selected architectures and scenarios.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121163453","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}
引用次数: 8
An Optimal Planning method for CCHP Systems Based on Operation Simulation 基于运行仿真的热电联产系统优化规划方法
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499483
Yiming Li, B. Zou, Feng Zhu, Jingqi Fu
{"title":"An Optimal Planning method for CCHP Systems Based on Operation Simulation","authors":"Yiming Li, B. Zou, Feng Zhu, Jingqi Fu","doi":"10.1109/SEGE.2018.8499483","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499483","url":null,"abstract":"An optimal planning and design method for combined cooling, heat and power system (CCHP) was presented. The optimal planning problem was divided into two stages, the first is the optimal investment problem in which the objective was to minimize the total net present cost and the decision variables are the capacities of the devices. The second stage is the optimal operation in which the objective was to minimize the operation cost using the known device capacities. An operation simulation which are use optimal operation strategy are employed in this paper for estimating the annual operating cost, which are faster speed than solving optimal operation problem and better accuracy than CCHP simulation using FTL strategies for distributed CCHP. The proposed method was used in CCHP planning for a hospital case, and the effectiveness of the proposed method was verified.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134579342","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}
引用次数: 3
Investigation into the Issues Associated with Closing an Automated Normally Open (N/O) Point on Medium Voltage (MV) Networks Where Fault Location, Isolation and Service Restoration (FLISR) Tool Is Planned 在规划了故障定位、隔离和服务恢复(FLISR)工具的中压(MV)网络中关闭自动常开(N/O)点的相关问题调查
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499490
F. Mthethwa, J. Van Coller
{"title":"Investigation into the Issues Associated with Closing an Automated Normally Open (N/O) Point on Medium Voltage (MV) Networks Where Fault Location, Isolation and Service Restoration (FLISR) Tool Is Planned","authors":"F. Mthethwa, J. Van Coller","doi":"10.1109/SEGE.2018.8499490","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499490","url":null,"abstract":"The design of Medium Voltage (MV) Overhead Lines (OHL) is often radial in nature which makes back-feeding difficult and these networks are often long which increases their exposure to faults. This has resulted in poor network reliability. Customers are mainly affected by faults on the MV network, to which particular attention has to be paid. Permanent faults (involving equipment damage) have negative impact on customers since they experience outages or interruptions while the equipment is repaired or replaced. The impact on customers increases when these outages are long. Customers continue to demand higher levels of uninterrupted supply from the distribution network; therefore it is necessary to implement self-healing Smart Grid technologies. One such technique is Fault Location, Isolation and Service Restoration (FLISR). The main drive towards implementing FLISR is to improve electricity utility’s network performance, increase electricity sales, improve flexibility and reduce the impact on the economy of outages therefore improving the performance of the distribution system. This paper discusses various ways to implement FLISR and will also focus on a case study on real distribution networks and look at the issues associated with closing a remotely controlled or automatically operated Normally Open (N/O) point for back-feeding. This paper aims to show how automated service restoration can reduce switching and restoration time from hours to minutes.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126176516","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}
引用次数: 2
Mitigating Cyber Threats in Smart Energy Subsystems Using Safety Critical Analysis Techniques 使用安全关键分析技术减轻智能能源子系统中的网络威胁
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499308
R. Ebrahimy, Z. Pourmirza
{"title":"Mitigating Cyber Threats in Smart Energy Subsystems Using Safety Critical Analysis Techniques","authors":"R. Ebrahimy, Z. Pourmirza","doi":"10.1109/SEGE.2018.8499308","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499308","url":null,"abstract":"Smart Energy Systems are highly dependent on the availability of information communication technologies to provide reliable service to consumers. Cyber threats are among the most highly rated risks that could jeopardise the operation of modern energy systems. In this paper In this paper, we analyse the security of the Smart Energy subsystem, namely Great Britain Advanced Metering Infrastructure (AMI), using safety analytical techniques. The security of AMI has high importance, as it reaches into a large majority of residential, commercial and industrial customers. Thus, any cyber-attack on the AMI system can cause damages to the energy grid of varying severity. The Current practice in the security of smart energy system is based on single problems where each security issue is studied or investigated in isolations. However, in this paper, we study the AMI system as a whole system and not a single component or function. We provide a novel approach by using safety analytical techniques for AMI systems, which enables us to mitigate the threats and provide probability analysis of any given scenario. To achieve that we use event tree analysis, fault tree analysis, and binary decision diagrams to foresee the threats and possible implications. To analyse the security of the smart energy sub-systems we use attack trees and combine the results with binary decision diagrams to mitigate the threats in the system by providing protection measures against identified cyber threats. We also provide a novel approach to quantify the probability of causes based on the combined results of attack trees and binary decision diagrams.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"12 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126045371","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}
引用次数: 0
Effects of Centralized Battery Storage Placement in Low-Voltage Residential Distribution Networks with High Photovoltaic Penetration 高光伏普及率的低压住宅配电网中蓄电池集中储能布局的影响
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499472
Muhammad Rashid, A. Knight
{"title":"Effects of Centralized Battery Storage Placement in Low-Voltage Residential Distribution Networks with High Photovoltaic Penetration","authors":"Muhammad Rashid, A. Knight","doi":"10.1109/SEGE.2018.8499472","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499472","url":null,"abstract":"In this paper, power flow simulation is used to investigate how centralized battery storage can aide in mitigating under-voltage conditions in highly PV penetrated residential network. It also investigates how the placement of the battery storage relates to the rating of the storage used. It is found the reduction in storage rating is quadratically proportional to the distance along the low-voltage distribution feeder.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121676325","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}
引用次数: 3
Distributed Control of Photovoltaic Units in Unbalanced LV Distribution Networks to Prevent Overvoltages 不平衡低压配电网中光伏机组的分布式控制以防止过电压
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499515
Frédéric Olivier, R. Fonteneau, S. Mathieu, D. Ernst
{"title":"Distributed Control of Photovoltaic Units in Unbalanced LV Distribution Networks to Prevent Overvoltages","authors":"Frédéric Olivier, R. Fonteneau, S. Mathieu, D. Ernst","doi":"10.1109/SEGE.2018.8499515","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499515","url":null,"abstract":"As more and more photovoltaic units are being installed, some LV networks have already attained their maximum hosting capacity, i.e. the maximum amount of distributed energy resources that they can accommodate during regular operations without suffering problems, such as overvoltages. As an alternative to network reinforcement, active network management (ANM) can, to a certain extent, increase their hosting capacity by controlling the power flows. In the framework of ANM, a distributed control scheme was previously presented. It makes use of a distress signal sent by each participating unit, when its terminal voltage is higher than 1.1 p.u. All units then proceed to absorb the maximum reactive power available. If the problem is not resolved, the units proceed to active power curtailment. This paper extends this control scheme to the case of unbalanced three-phase four-wire distribution networks with single- and/or three-phase inverters. The control scheme works by first partitioning the inverters into four groups, three for the single-phase inverters (one for each phase), and one for the three-phase converters. Each group then independently applies a distributed algorithm similar to the one previously presented. Their performance are then compared to those of two reference schemes, an on-off algorithm that models the default behaviour of PV inverters when there is an overvoltage, and the other one based on an unbalanced OPF. Its resulting total curtailed energy always lies between the two, with the on-off algorithm presenting the poorest performance, and the proposed algorithm losing its edge when the network is strongly unbalanced.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121210215","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}
引用次数: 3
Energy Management System for Optimal Operatioin of Microgrids Network 微电网优化运行的能量管理系统
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499456
T. Iqbal, Zar Khitab, Francesc Girbau, A. Sumper
{"title":"Energy Management System for Optimal Operatioin of Microgrids Network","authors":"T. Iqbal, Zar Khitab, Francesc Girbau, A. Sumper","doi":"10.1109/SEGE.2018.8499456","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499456","url":null,"abstract":"This paper presents an Energy Management System (EMS) using JuMP-Julia for Mathematical Programing (MILP) with Gurobi Solver for a network of microgrids. The EMS evaluates the optimization problem for three scenarios namely grid-connected, grid-disconnected and stand-alone. The optimization considers Photovoltaic generation, load demand and import/export energy cost. Unused power in grid-disconnected scenario is more than standalone scenario. Battery charging is more frequent in grid connected scenario in comparison. Energy cost is minimized in this scenario.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122257842","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}
引用次数: 6
Regularized LSTM Based Deep Learning Model: First Step towards Real-Time Non-Intrusive Load Monitoring 基于正则化LSTM的深度学习模型:迈向实时非侵入式负荷监测的第一步
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499519
Hasan Rafiq, Hengxu Zhang, Huimin Li, Manesh Kumar Ochani
{"title":"Regularized LSTM Based Deep Learning Model: First Step towards Real-Time Non-Intrusive Load Monitoring","authors":"Hasan Rafiq, Hengxu Zhang, Huimin Li, Manesh Kumar Ochani","doi":"10.1109/SEGE.2018.8499519","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499519","url":null,"abstract":"Residential and commercial buildings consume more electricity than any other sector. Thus, energy saving through smart electrification in those buildings is the best way to reduce overall energy demand. Smart electrification includes end-use appliance energy consumption monitoring in real-time, which can be achieved through Non-Intrusive Load Monitoring (NILM). Recently, deep learning algorithms have been introduced for energy disaggregation but their effectiveness in real-time appliance load monitoring is questionable. In this paper, we have presented two deep recurrent neural networks models: LSTM and GRU. We have introduced regularization to improve our proposed model’s performance and have tested them on unseen buildings during training. We have achieved promising results with proposed Regularized LSTM model in terms of accuracy, f1 score and mean absolute error. These results suggest using this model in real-time energy disaggregation of end-use appliances.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127340083","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}
引用次数: 36
Impact of Demand Response on Short-Term Generation Planning 需求响应对短期发电计划的影响
2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2018-08-01 DOI: 10.1109/SEGE.2018.8499493
Nooriya A. Mohammed, Mohammed H. Albadi
{"title":"Impact of Demand Response on Short-Term Generation Planning","authors":"Nooriya A. Mohammed, Mohammed H. Albadi","doi":"10.1109/SEGE.2018.8499493","DOIUrl":"https://doi.org/10.1109/SEGE.2018.8499493","url":null,"abstract":"Recent research on demand management has focused on the development and innovation of various means to control consumer behavior in order to achieve a balance between supply and demand with minimum cost. Previous researches focused on stimulating the consumer response to market prices in order to rationalize consumption, especially during peak periods. This study addresses the impact of consumer response on supplier decisions of generation in short-term planning. The results highlight the effect of high consumer response rate on electricity price changes and production planning from different technologies including base-load and peak load generation technologies.","PeriodicalId":123677,"journal":{"name":"2018 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116805577","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}
引用次数: 1
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