2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)最新文献

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Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France 家庭人口一天前的用电量预测:基于法国RTE的真实数据分析不同的机器学习技术
Philipp Theile, Anna-Linnea Towle, Kaustubh Karnataki, Alessandro Crosara, K. Paridari, G. Turk, L. Nordström
{"title":"Day-ahead electricity consumption prediction of a population of households: analyzing different machine learning techniques based on real data from RTE in France","authors":"Philipp Theile, Anna-Linnea Towle, Kaustubh Karnataki, Alessandro Crosara, K. Paridari, G. Turk, L. Nordström","doi":"10.1109/SmartGridComm.2018.8587591","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587591","url":null,"abstract":"Forecasting of power consumption has been a topic of great interest for the stakeholders of electricity markets. It has an essential role in decision making, including purchasing and generating electric power, load switching, and demand side management. Different algorithms are tested and used for balancing the demand and supply of energy. This research work focuses on predicting power consumption using time series forecasting methods for the Île-de-France region with publicly available energy data from RTE, France. The two machine learning algorithms Support Vector Machine (SVM) and Recurrent Neural Network (RNN) are implemented and tested for their accuracy in predicting day-ahead half-hourly power consumption data. This paper provides brief insights on the algorithms used and further explains the data handling for its implementation. The Mean Absolute Percentage Error (MAPE) is used as the performance measure. The results indicate a higher accuracy of the RNN at the cost of longer computation times.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134297749","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
Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection 基于隔离林的低质量同步量测量和早期事件检测方法
Tong Wu, Y. Zhang, Xiaoying Tang
{"title":"Isolation Forest Based Method for Low-Quality Synchrophasor Measurements and Early Events Detection","authors":"Tong Wu, Y. Zhang, Xiaoying Tang","doi":"10.1109/SmartGridComm.2018.8587434","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587434","url":null,"abstract":"This paper proposes an online data-driven approach that utilizes phasor measurement unit (PMU) data for early-event detection and low-quality data monitoring based on isolation forest (iForest). By skillfully selecting the feature subspaces, we design three levels of detectors that are capable of distinguishing early events from low-quality data measurements. The proposed online detection algorithm is practical in the sense that it does not require any prior knowledge of the grid topology or communication among buses. Besides, it is fast responding with low computational complexity, and thus is suitable for online applications. Numerical simulations with synthetic PMU data validate the effectiveness of the proposed method.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265052","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: 9
Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring 深度学习生成模型在工业机械功耗监测负荷分解中的应用
Pedro B. M. Martins, J. Gomes, Vagner B. Nascimento, Antonio R. de Freitas
{"title":"Application of a Deep Learning Generative Model to Load Disaggregation for Industrial Machinery Power Consumption Monitoring","authors":"Pedro B. M. Martins, J. Gomes, Vagner B. Nascimento, Antonio R. de Freitas","doi":"10.1109/SmartGridComm.2018.8587415","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587415","url":null,"abstract":"Non-Intrusive Load Monitoring (NILM) or Load Disaggregation is a set of techniques to identify and monitor loads from readings of aggregated signals from a unique electricity meter on a building. This paper presents a new dataset of industrial electric energy consumption and compares Factorial Hidden Markov Model and a Deep Learning-based model to disaggregate six different industrial machines from a site meter on a factory in Brazil. The Deep Learning-based model reduced normalized disaggregation error (NDE) and signal aggregated error (SAE) in comparison with the FHMM models for the same appliances. It also increased percentage of time during which the machine is correctly classified as turned ON or OFF.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1368 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132770743","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: 16
Coordinated Planning of Multi-Energy System with District Heating Network 基于区域供热网络的多能源系统协同规划
Guangsheng Pan, W. Gu, Shuai Lu, Shuai Yao, Chenyu Wu
{"title":"Coordinated Planning of Multi-Energy System with District Heating Network","authors":"Guangsheng Pan, W. Gu, Shuai Lu, Shuai Yao, Chenyu Wu","doi":"10.1109/SmartGridComm.2018.8587581","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587581","url":null,"abstract":"This paper proposes a coordinated planning method for the multi-energy system, which includes multi combined heat and power systems and a district heating network connected with them. To improve the flexibility of the operating system, the district heating network is under quantity regulation. The model of district heating network includes operation constraint equations and temperature correction equations. Based on which, the optimal objective is to minimize the capital cost of the equipment as well as the annual operation cost of the multi-energy system. Moreover, the permeation of the renewable energy for the multi-energy system is discussed based on the three cases, i.e., (i) no renewable energy, (ii) a certain wind power, (iii) a certain wind power and an uncertain solar power. The results show that the coordinated planning of MES with multi heat sources can improve the flexibility of the operating system and the ability to absorb renewable energy.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114858913","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
Deployment Strategies for Crowdsourced Power Outage Detection 众包停电检测的部署策略
Santiago Correa, Noah Klugman, Jay Taneja
{"title":"Deployment Strategies for Crowdsourced Power Outage Detection","authors":"Santiago Correa, Noah Klugman, Jay Taneja","doi":"10.1109/SmartGridComm.2018.8587566","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587566","url":null,"abstract":"Smart grids, typically driven by smart meters, enable the use of information and communication technologies to collect grid status in real-time. However, while smart meters are typically essential to the smart grid vision, many utilities globally have not installed smart meters mainly due to technical or budget constraints. In this paper we evaluate deployment strategies of GridWatch, a novel crowdsourcing system to detect electricity outages using smart phones. Using demographic, user mobility, and outage data relevant for Nairobi, Kenya, we develop an agent- based model (ABM) simulation to understand the factors that optimize the deployment strategy of GridWatch in different sub- regions of the city while maintaining high confidence of outage detection. Our results show that outage detection improves dramatically with increasing density of households per transformer, so a higher penetration of GridWatch devices is needed in areas with sparser grids.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447236","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
Cable Health Monitoring in Distribution Networks using Power Line Communications 使用电力线通信的配电网电缆健康监测
Yinjia Huo, G. Prasad, L. Lampe, Victor C. M. Leung
{"title":"Cable Health Monitoring in Distribution Networks using Power Line Communications","authors":"Yinjia Huo, G. Prasad, L. Lampe, Victor C. M. Leung","doi":"10.1109/SmartGridComm.2018.8587458","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587458","url":null,"abstract":"Power Line Communication (PLC) harnesses the existing infrastructure of power lines for data transmission. As one application, PLC is being used for monitoring and control in distribution networks. In this paper, we propose an autonomous technique that exploits the communication channel estimated inside legacy PLC modems to determine the health of distribution cables. In particular, we consider paper insulated lead covered (PILC) cables widely used in low and medium voltage distribution networks that are most susceptible to thermal degradations. Measurement campaigns have shown that these thermal degradations cause dielectric property changes in PILC cable insulations, which also result in changes in PLC channel conditions. However, through channel characterization of healthy and degraded cables, we demonstrate that the estimated channel frequency responses are not sufficiently distinctive for manual diagnosis. We therefore propose a machine-learning based technique that not only achieves our set target, but is also able to estimate the cable health under varying load conditions. Simulation results show that our proposed technique accurately estimates thermal degradation severities in PILC cables. We thus believe that PLC based cable health monitoring can be used as an autonomous remote diagnostics method that can be integrated into a smart-grid concept and has the promise of being more cost-effective than deploying personnel and/or dedicated equipment.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131594072","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: 12
Power to the Future: Use Cases and Challenges for Mobile, Self Configuring, and Distributed Power Grids 面向未来的电力:移动、自配置和分布式电网的用例和挑战
Riccardo Bonetto, I. Sychev, F. Fitzek
{"title":"Power to the Future: Use Cases and Challenges for Mobile, Self Configuring, and Distributed Power Grids","authors":"Riccardo Bonetto, I. Sychev, F. Fitzek","doi":"10.1109/SmartGridComm.2018.8587582","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587582","url":null,"abstract":"Smart Cities are calling for a major innovation in many strategic infrastructures that shape the daily life of citizens. Arguably one of the most strategic and resilient to changes is the power transmission and distribution infrastructure. And yet, the power sector, together with the communication network infrastructure, are the major enablers of future smart cities.In this paper, we present three fictional, yet likely use cases that highlight how the Information and Communication Technologies (ICT) and Infrastructures are ready to support this much needed innovation, while the power distribution infrastructure has still a long way to go to be able to benefit from the opportunities offered by ICT. The resulting discussion will hopefully involve power grid operators and legislators to the end of promoting a thorough renovation of the power sector.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125431519","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: 4
To Rent or to Share? 出租还是共享?
Xingyu Gao, Kui Wang, Yang Yu
{"title":"To Rent or to Share?","authors":"Xingyu Gao, Kui Wang, Yang Yu","doi":"10.1109/SmartGridComm.2018.8587450","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2018.8587450","url":null,"abstract":"To improve the storage utilization inefficiency caused by consumers’ demand uncertainty, careful market designs are required. Storage sharing mechanisms have been proposed to tackle this challenge in the literature. However, the difficulties in calculating the sizing decisions render the storage sharing mechanism impractical. In this paper, we propose a storage renting mechanism. We note that the renting scheme alone cannot achieve the social optimal as storage sharing scheme does. However, our analysis shows that the overbooking strategy plays an important role in improving the efficiency of storage renting. Finally, we use simulation results to validate the value of overbooking.","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123379791","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
SmartGridComm 2018 Committees
{"title":"SmartGridComm 2018 Committees","authors":"","doi":"10.1109/smartgridcomm.2018.8587522","DOIUrl":"https://doi.org/10.1109/smartgridcomm.2018.8587522","url":null,"abstract":"","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124303983","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
Towards Emergent Security in Low-Latency Smart Grids with Distributed Control 基于分布式控制的低延迟智能电网应急安全研究
M. Stubs
{"title":"Towards Emergent Security in Low-Latency Smart Grids with Distributed Control","authors":"M. Stubs","doi":"10.1109/smartgridcomm.2018.8587557","DOIUrl":"https://doi.org/10.1109/smartgridcomm.2018.8587557","url":null,"abstract":"","PeriodicalId":213523,"journal":{"name":"2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124390941","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
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