2020 International Conference on Smart Energy Systems and Technologies (SEST)最新文献_第9页

Impact of the Time Resolution for Data Gathering on Loss Calculation and Demand Side Flexibility 数据收集时间分辨率对损失计算和需求侧灵活性的影响

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203295

G. Chicco, A. Mazza

引用次数: 2

A Stochastic Model for Medium-Term Distribution System Planning Considering CO2 Emissions 考虑CO2排放的配电系统中期规划随机模型

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203563

M. A. Mejia, Leonardo H. Macedo, G. Muñoz-Delgado, J. Contreras, A. Padilha-Feltrin

引用次数: 4

Multi-energy Microgrid Ability to Provide Flexibility Services to the System Operator and Security of Supply to End-users 多能微电网为系统运营商提供灵活服务和为终端用户提供安全供应的能力

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203390

T. Capuder, Matija Kostelac, M. Krpan, I. Pavić

引用次数: 3

Optimal Management of Household Loads Based on Consumer Elasticity and Appliance Diversity 基于消费者弹性和家电多样性的家庭负荷优化管理

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203085

Oguzkagan Alic, Ümmühan Başaran Filik

引用次数: 2

Solar Power Generation Analysis and Forecasting Real-World Data Using LSTM and Autoregressive CNN 基于LSTM和自回归CNN的太阳能发电分析与预测

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203124

Nail Tosun, Egemen Sert, Enes Ayaz, Ekin Yılmaz, M. Göl

引用次数: 9

Optimal Switch Configuration Algorithm for Dynamically Meshed Power Distribution Grids 动态网格配电网开关最优配置算法

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203089

M. Kerzel, J. Garzon-Real, M. Zdrallek, D. Wolter, C. Schacherer

引用次数: 4

Short-term Load Forecasting based on Wavelet Approach 基于小波方法的短期负荷预测

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203539

A. Ghanavati, Amir Afsharinejad, N. Vafamand, M. Arefi, M. Javadi, J. Catalão

{"title":"Short-term Load Forecasting based on Wavelet Approach","authors":"A. Ghanavati, Amir Afsharinejad, N. Vafamand, M. Arefi, M. Javadi, J. Catalão","doi":"10.1109/SEST48500.2020.9203539","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203539","url":null,"abstract":"This paper develops a novel short-term load forecasting technique to predict the demanding power for the next hour. In this study, a linear equation-error Auto Regressive Auto Regressive Moving Average Exogenous (ARARMAX) model is trained to specify power consumption as a function of a few past hours. The parameters of the candidate mathematical model are estimated by using two least squares-based iterative algorithms. The main difference with these algorithms is the total number of past data involved in the modeling. Whereas practical data are always subject to noise and un-accurate measuring, a wavelet de-noising technique is utilized to reduce the effect of noise on forecasting which leads to more precise predictions. The superiority of the proposed approach is validated by utilizing practical data from a power utility in Canada in January 1995. The first three days’ data are utilized to train the selected model and the fourth-day data are dedicated to test the prediction of the provided model. The L2 and L∞ norms error and MAPE, MAE, and RMSE are selected as criteria to show the merits of the proposed approach.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131015686","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

Understanding the Value of Net Metering Outcomes for Different Averaging Time Steps 了解不同平均时间步长的净计量结果的价值

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203188

G. Chicco, A. Mazza

{"title":"Understanding the Value of Net Metering Outcomes for Different Averaging Time Steps","authors":"G. Chicco, A. Mazza","doi":"10.1109/SEST48500.2020.9203188","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203188","url":null,"abstract":"The installation of distributed energy resources (DER) heavily impacts on the power patterns of the prosumers. In fact, the variability of the generation, together with the technical characteristics of the storage systems, may introduce a huge variety in the shape of the net power curves seen from the point of common coupling (PCC). This leads to completely rethink the definition of the time series required to create homogeneous group of prosumers, for providing useful tools to manage the emerging paradigms in the electricity system, such as energy communities and local energy markets. Moreover, the differences between the local energy production and consumption at the PCC could become hidden, if the local energy management has to be considered as a private decision of the local user. In this case, only net metering (that implies a unique measurement of the net electricity taken from the grid) will be used to evaluate the impact on the network of the net power curves. Hence, new approaches are required to properly measure the electricity exchange at the PCC. This paper addresses how the net metering outcomes depend on the time resolution of the measured data, and how the information taken from net metering can be valued by giving different price rates to positive and negative values. Specific examples are provided to remark the importance of the time resolution to properly characterise the prosumers.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130841656","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

Developing Black Start Strategies in Multi-Microgrids Exploiting Smart Transformers 基于智能变压器的多微电网黑启动策略研究

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203285

M. Couto, J. Lopes, C. Moreira

引用次数: 2

A Misalignment Adaptive WPT System Ensuring Maximum Power Transfer under Asymmetric Frequency Splitting Conditions 非对称分频条件下保证最大功率传输的失调自适应WPT系统

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203195

S. Sezen, F. Kılıç

{"title":"A Misalignment Adaptive WPT System Ensuring Maximum Power Transfer under Asymmetric Frequency Splitting Conditions","authors":"S. Sezen, F. Kılıç","doi":"10.1109/SEST48500.2020.9203195","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203195","url":null,"abstract":"One of the major issues is that the output power and power transfer efficiency are dependent on the coupling coefficient (k) between the magnetic couplers. Any deviations in optimal distance, misalignment between the couplers or un-modeled dynamics such as temperature dependent variation in components lead to a shift in system’s resonance frequency. Also, asymmetric frequency splitting phenomenon occurs decreasing the output power and the power transfer efficiency of the system. Non-metaheuristic optimization methods are not capable of distinguishing the global maximum power (GMP) transfer frequency under frequency splitting conditions. This study presents an adaptive wireless power transfer (WPT) system with a Cuckoo Search Algorithm (CSA) based frequency-tracking method. GMP transfer frequencies determined by experimental frequency scanning method. The method is implemented under asymmetric splitting conditions for the first time. The suitability of the algorithm is tested in an experimental WPT setup. In experimental studies, wireless power transfer was provided through flux pipe couplers with three sub-coils which exhibit higher coupling coefficient as compared to traditional flux pipe couplers with two sub-coils. Results show that the CSA based controller can accurately find the optimal operation frequency under various misalignment and distance between the couplers.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133909704","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