2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)最新文献

Hydro-Québec’s Experience of Implementing Power-system Node-Breaker Model for Planning Studies 电力系统节点破断模型在规划研究中的应用经验

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535068

A. Delavari, J. Prévost, A. Côté

{"title":"Hydro-Québec’s Experience of Implementing Power-system Node-Breaker Model for Planning Studies","authors":"A. Delavari, J. Prévost, A. Côté","doi":"10.1109/SEGE52446.2021.9535068","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535068","url":null,"abstract":"To meet new needs and to respond to changes in the energy market, Hydro-Québec Trans Énergie (HQT) under-´ takes an important research project, named PRIAD, to improve existing tools for asset management and modelling system. The aim of this project is to assess the impact of the unavailability of equipment, such as breakers, sectionalizers, physical buses, power transformers, etc., on the performance of the Hydro-Quebec (HQ) network. Power system node-breaker (PSNB) models are of common use in operation, while bus-branch models are usually used in planning studies. PRIAD relies on a transmission system reliability simulator named PRISME. PRISME is HQ’s first planning application that requires a PSNB model. To this end, we have developed an algorithm to convert the traditional bus-branch network model to a detailed node-breaker representation. To generate the node-breaker model (PSS/E format), we used the state estimator file in IEEE format, the Energy Management System (EMS) network connectivity model (CIM format), and the state of switches from the Supervisory Control and Data Acquisition System (SCADA) file.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121806963","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

Electric Vehicle Charging Station: Cyber Security Challenges and Perspective 电动汽车充电站:网络安全挑战与展望

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535052

Z. Pourmirza, S. Walker

引用次数: 9

Multi-resolution Analysis Algorithm for Fast Fault Classification and Location in Distribution Systems 配电系统故障快速分类与定位的多分辨率分析算法

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535096

Miguel Jiménez Aparicio, M. Reno, Pedro Barba, A. Bidram

引用次数: 15

Start-up and Smooth Grid Connection of the Doubly Fed Induction Generator 双馈感应发电机的起动与平稳并网

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535010

Marouane El Azzaoui

引用次数: 0

Fault Current Level Analysis of Future Microgrids with High Penetration Level of Power Electronic-Based Generation 未来电力电子发电高渗透水平微电网故障电流水平分析

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535020

Hussain Sarwar Khan, Khaled Syfullah Fuad, M. Karimi, K. Kauhaniemi

{"title":"Fault Current Level Analysis of Future Microgrids with High Penetration Level of Power Electronic-Based Generation","authors":"Hussain Sarwar Khan, Khaled Syfullah Fuad, M. Karimi, K. Kauhaniemi","doi":"10.1109/SEGE52446.2021.9535020","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535020","url":null,"abstract":"The integration of power electronics-based generation has increased in the medium voltage (MV) level of the distribution networks, nowadays. It is obvious that the contribution level of this type of source is providing a limited fault current level according to the thermal and fault ride-through capability of power electronic converters. Therefore, the fault current level in the grid-connected and islanded mode of the microgrid is different and the protection scheme is required to be reviewed. In this regard, converters’ responses contribute to the stability of the microgrid in the case of abnormal conditions. This paper has investigated the effect of power electronic converters and their controllers in future microgrids with the high penetration level of power electronic-based generation. A distribution management system has been designed to address the issues and challenges of faulty conditions and a voltage ride-through technique has been proposed. The simulation results of an MV distribution network demonstrate the fault current level of the future microgrid in abnormal conditions. The proper protection strategy is designed to detect any type of short circuit fault current as well as avoidance of damage to the integrated PEC-based generations.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114349917","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

Wind Power Forecasting for the Danish Transmission System Operator Using Machine Learning 利用机器学习对丹麦输电系统运营商进行风电预测

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9535011

Kathrine Lau Jørgensen, Hamid Reza Shaker

{"title":"Wind Power Forecasting for the Danish Transmission System Operator Using Machine Learning","authors":"Kathrine Lau Jørgensen, Hamid Reza Shaker","doi":"10.1109/SEGE52446.2021.9535011","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9535011","url":null,"abstract":"A power grid with increasing wind power and decreasing capacity of conventional power plants induces challenges in the balancing of the power grid. The cost of purchasing reserves in Denmark has increased rapidly over the last five years. One solution to decrease the reserve cost is by introducing new market players to the markets, e.g. wind turbines. Today the wind turbines are excluded from the markets due to low availability. By developing a wind power forecasting model, the availability of the wind at varying wind speeds can be evaluated. A time series neural network with three hidden neurons and two delays are developed. It was found that the highest performance was reached by applying PCA and by using the training algorithm scaled conjugate gradient. The optimal network resulted in an R2-value at 0.990 and MSE at 33895, when testing the model on unseen data. Using the developed model, the availability of wind power was estimated. Limits of the reserve purchase were set at varying wind speeds. The highest purchase was at wind speeds above 20 m/s, where 92% of the predicted power is available with a security of 95%. As the wind speed decreases the purchase decreases as well. The model showed the poorest predictions at wind speeds between 0-5 m/s.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125467851","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

IoT for Home Energy Management (HEM) Using FPGA 使用FPGA的家庭能源管理(HEM)物联网

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534986

Amleset Kelati, Hossam Gaber

引用次数: 3

Examining the Applicability of Blockchain to the Smart Grid Using Proof-of-Authority Consensus 使用权威证明共识来检验区块链对智能电网的适用性

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534994

Ugonna Chikezie, T. Karacolak, J. D. do Prado

{"title":"Examining the Applicability of Blockchain to the Smart Grid Using Proof-of-Authority Consensus","authors":"Ugonna Chikezie, T. Karacolak, J. D. do Prado","doi":"10.1109/SEGE52446.2021.9534994","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9534994","url":null,"abstract":"Security has been a major challenge in the smart grid since its adoption. This great concern let to the proposal of the application of blockchain technology to the smart grid. Blockchain is a growing list of records, called blocks, that are linked using cryptography and its transactions are validated by a consensus mechanism. The most known and trusted blockchain consensus mechanism is the proof-of-work (PoW) as it can process very little number of transactions per second. However, the proof-of-authority (PoA) consensus mechanism is scalable as it can process thousands of transactions per second without compromising security. This paper focuses on the applicability of blockchain PoA consensus mechanism and how it ensures that transactions are confirmed on time and the integrity of the transactions are upheld in the blockchain. The PoA consensus mechanism is appropriate especially with the adoption of peer-to-peer energy trading between prosumers and consumers. This study proposes a peer-to-peer energy trading in an open blockchain with the help of the Advanced Metering Infrastructure(AMI) that enables smart meters to function optimally for this purpose.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130332687","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

Full Shading for Photovoltaic Systems Operating under Snow Conditions 在积雪条件下运行的光伏系统的完全遮阳

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534991

Farhad Khosrojerdi, S. Gagnon, Raul Valverde

{"title":"Full Shading for Photovoltaic Systems Operating under Snow Conditions","authors":"Farhad Khosrojerdi, S. Gagnon, Raul Valverde","doi":"10.1109/SEGE52446.2021.9534991","DOIUrl":"https://doi.org/10.1109/SEGE52446.2021.9534991","url":null,"abstract":"Photovoltaic (PV) installers and non-technical solar energy consumers use PV planning software for the system design and simulation. End-users rely on the designed system and power estimations provided by these tools. However, most planning software products fail to consider shading conditions. This problem affects energy forecasting for solar power plants located in cold climates. In this paper, we define the status of full shading for a snow-covered panel and the minimum depth of snow creating it. Using a case study, we design the project by the most reliable planning software, System Advisor Model (SAM). We show that the simulation overestimates power generations for snowy months. To identify shading conditions and the correlated performance reductions, we compare the SAM results with the measured data collected onsite. As a result, the minimum depth of snow that can create full shading and zero production is detected. Moreover, comparing the measured data with the simulated power helps us to define a rule-base system providing PV performance reduction factors. It assists solar sector practitioners to plan a PV project accurately, especially for the locations where snowfall is an important environmental factor for several months.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115271335","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

Model Predictive Control Modular Approach for Multi-Source System Management 多源系统管理的模型预测控制模块化方法

2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2021-08-11 DOI: 10.1109/SEGE52446.2021.9534997

Baptiste Boyer, P. Fiani, G. Sandou, E. Godoy, C. Vlad

引用次数: 0