2020 International Conference on Smart Energy Systems and Technologies (SEST)最新文献_第10页

DeepSolar for Germany: A deep learning framework for PV system mapping from aerial imagery DeepSolar for Germany:从航空图像中绘制光伏系统的深度学习框架

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203258

Kevin Mayer, Zhecheng Wang, M. Arlt, D. Neumann, R. Rajagopal

{"title":"DeepSolar for Germany: A deep learning framework for PV system mapping from aerial imagery","authors":"Kevin Mayer, Zhecheng Wang, M. Arlt, D. Neumann, R. Rajagopal","doi":"10.1109/SEST48500.2020.9203258","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203258","url":null,"abstract":"The increasing availability of high-resolution aerial imagery and the recent deep learning-based advances in computer vision have made it possible to automatically map energy systems remotely at a large scale. In this paper, we focus on optimizing the existing DeepSolar framework for photovoltaics (PV) system classification. Specifically, we propose an efficient dataset creation methodology for aerial imagery which allows us to achieve state-of-the-art results, improving the previous model’s recall score by more than eight percentage points to 98% while keeping its precision almost constant at 92%. Furthermore, we show that our optimized model extends its superior classification performance to lower image resolutions. After re-training our optimized model on lower resolution imagery, we apply it to Germany’s most-populous state, North-Rhine Westphalia, and deliver a proof of concept for automatically validating, updating, and creating databases of renewable energy systems at a large scale. We conclude with a brief analysis of socio-economic factors correlating with PV system adoption.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"123-124 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":"117142752","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: 18

A novel framework for autoregressive features selection and stacked ensemble learning for aggregated electricity demand prediction of neighborhoods 基于自回归特征选择和堆叠集成学习的社区综合电力需求预测新框架

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203507

Waqas Khan, Shalika Walker, Katarina Katić, W. Zeiler

{"title":"A novel framework for autoregressive features selection and stacked ensemble learning for aggregated electricity demand prediction of neighborhoods","authors":"Waqas Khan, Shalika Walker, Katarina Katić, W. Zeiler","doi":"10.1109/SEST48500.2020.9203507","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203507","url":null,"abstract":"Demand forecast plays an important role in the power industry, as it sets the basis for decision making in power system operation and planning. Electricity consumption forecasting of individual buildings has been widely used for energy management, planning and energy-saving potential identification in the past decade. Yet, insignificant focus has been put on aggregated demand forecast of neighborhoods. In the context of the future smart grid, short- and long-term demand forecast on a neighborhood level will be an essential task for utility providers to better plan generation and solve congestion problems of the distribution network. Based on a comprehensive literature study, an ensemble learning method is proposed for predicting short- and long-term electricity demand of a campus located in the Netherlands. The ensemble model performed better in demand forecasting of neighborhoods compared to individual models for an hour ahead, day ahead and year ahead with R2 values of 0.988, 0.951 and 0.943 respectively. Assessing the demand for cluster of buildings with distinct boundaries such as hospitals and campuses at an aggregated level would reduce the amount of data needed to be stored. The proposed technique contributes to short (single step) and long term (multi step) energy self-sufficiency planning and energy balancing systems on a neighborhood scale.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"182 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":"116527851","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

Optimal Robust Control Scheme to Enhance Power System Oscillations Damping via STATCOM 利用STATCOM增强电力系统振荡阻尼的最优鲁棒控制方案

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203361

M. Kashani, A. Alfi, A. Arabkoohsar

{"title":"Optimal Robust Control Scheme to Enhance Power System Oscillations Damping via STATCOM","authors":"M. Kashani, A. Alfi, A. Arabkoohsar","doi":"10.1109/SEST48500.2020.9203361","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203361","url":null,"abstract":"Static Synchronous Compensator (STATCOM) is one of the most effective Flexible AC Transmission Systems (FACTS) devices, which is often modeled as a controllable reactive current source for voltage control and power system stability enhancement. This paper proposes a novel robust control scheme for a Single Machine Infinite Bus (SMIB) system connected to a STATCOM. The proposed scheme has been introduced in a multi-objective optimization framework. Also, three control systems are applied to improve the speed and voltage oscillations damping and guarantee the power system stability. The proposed model is carried out on each of these control systems to adjust the coefficients of their controllers. In the methodology phase, a modified version of the non-domination based genetic algorithm (NSGAII) is first used to find Pareto optimal solution and then the Programming Technique for Multidimensional Analysis of Preference (LINMAP) method is applied to reach the most preferred solution. Finally, by simulating the proposed model on the proposed control systems, their performance is investigated on dynamic stability and oscillations damping, and the efficiency of the proposed model is approved.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"53 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":"122385084","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

Clustering and Dimensionality-reduction Techniques Applied on Power Quality Measurement Data 电能质量测量数据的聚类和降维技术

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203294

G. Rosenlund, K. W. Høiem, B. N. Torsæter, C. Andresen

{"title":"Clustering and Dimensionality-reduction Techniques Applied on Power Quality Measurement Data","authors":"G. Rosenlund, K. W. Høiem, B. N. Torsæter, C. Andresen","doi":"10.1109/SEST48500.2020.9203294","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203294","url":null,"abstract":"The power system is changing rapidly, and new tools for predicting unwanted events are needed to keep a high level of security of supply. Large volumes of data from the Norwegian power grid have been collected over several years, and unwanted events as interruptions, earth faults, voltage dips and rapid voltage changes have been logged. This paper demonstrates the application of clustering and dimensionality-reduction techniques for the purpose of predicting unwanted events. Several techniques have been applied to reduce the dimensionality of the datasets and to cluster events based on analytical features, to separate events containing faults from a normal situation. The paper shows that the developed predictive model has some predictive capability when using balanced datasets containing similar muber of fault events and non-fault events. One of the main findings, however, is that this predictive capability is significantly reduced when using unbalanced datasets. Thus, the development of an accurate predictive model based on normal power system conditions, i.e. an unbalanced dataset of events and non-events, is a topic for further research.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"3 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":"122068898","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

OpenADR Ontology: Semantic Enrichment of Demand Response Strategies in Smart Grids OpenADR本体:智能电网需求响应策略的语义丰富

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203093

Alba Fernández-Izquierdo, Andrea Cimmino, Christos Patsonakis, A. Tsolakis, R. García-Castro, D. Ioannidis, D. Tzovaras

{"title":"OpenADR Ontology: Semantic Enrichment of Demand Response Strategies in Smart Grids","authors":"Alba Fernández-Izquierdo, Andrea Cimmino, Christos Patsonakis, A. Tsolakis, R. García-Castro, D. Ioannidis, D. Tzovaras","doi":"10.1109/SEST48500.2020.9203093","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203093","url":null,"abstract":"Demand Response (DR) gains increasing attention as a core building block of smart grids. Advanced ICT systems have been made available in the last decades and have been employed already in commercial energy markets. As more and more hardware and software solutions are flooding the market, the need for interoperability among systems has become a necessity. Building upon OpenADR, a well-known standard for DR, this work presents its semantic enrichment towards transforming it into an ontology (publicly available), which ultimately enables semantic interoperability among various DR stakeholders and systems and other semantic-related features like data validation, reusing terms and integration with other standard ontologies. Following the Linked Open Terms methodology, a detailed description of the main OpenADR services is presented, encoded in OWL, along with needed extensions that derive from other well-known ontologies. By introducing an OpenADR ontology, the adoption and deployment of OpenADR in both research and industrial implementations is expected to expand, ultimately promoting significantly semantic interoperability in DR systems.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"213 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":"132282683","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: 10

The Impact of Distance, Cardinal-direction and Time on Solar Irradiance Estimation: A Case-study 距离、基数方向和时间对太阳辐照度估算的影响:一个实例研究

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203214

Lennard Visser, Stef Knibbeler, T. Alskaif, W. V. van Sark

{"title":"The Impact of Distance, Cardinal-direction and Time on Solar Irradiance Estimation: A Case-study","authors":"Lennard Visser, Stef Knibbeler, T. Alskaif, W. V. van Sark","doi":"10.1109/SEST48500.2020.9203214","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203214","url":null,"abstract":"Long term Global Horizontal Irradiance (GHI) data sets are essential to assess the local solar resource and estimate the potential power production of photovoltaic systems. Statistical models are found to be very effective in estimating the GHI. In this study we examine to what extent the performance of such models is affected by the distance, direction and temporal difference between the training and testing period. To quantify these factors three machine learning models are considered: Random Forest, Extreme Gradient Boosting, and Artificial Neural Network. These models estimate the GHI at 15 weather stations in the Netherlands by considering 11 meteorological variables. The paper demonstrates that GHI estimation is more accurate when the model is trained on a station that is located closer to the target station, where an increased error of 3% and 7% is found up to a distance of respectively 40 and 120 km. In addition, in the case study it is found that the accuracy of GHI estimation improves when the test station is located in a northeast, east, southeast or south direction from the training station. This partly correlates with the prevailing wind direction. Finally, the testing period selected is found to significantly affect the obtained model performance, whereas the influence of the training period is found to be minimal.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"399 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":"116678180","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

Enhanced MPC for Fast Frequency Control in Inverter-Dominated Power Systems 在逆变器占主导地位的电力系统中用于快速频率控制的增强MPC

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203035

Ognjen Stanojev, U. Markovic, E. Vrettos, P. Aristidou, Duncan S. Callaway, G. Hug

引用次数: 4

Development of Distance Relay Based on Wide-Area Protection for Transmission Systems of Provincial Electricity Authority 省电力局输电系统广域保护距离继电器的研制

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203406

Chaiwat Maneekorn, S. Premrudeepreechacharn, A. Supannon, Rachawadee Puangsukra

{"title":"Development of Distance Relay Based on Wide-Area Protection for Transmission Systems of Provincial Electricity Authority","authors":"Chaiwat Maneekorn, S. Premrudeepreechacharn, A. Supannon, Rachawadee Puangsukra","doi":"10.1109/SEST48500.2020.9203406","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203406","url":null,"abstract":"Recently, distance relays are used in conventional protection to protect the transmission system, which consists of primary and back up protections. However, the primary protection used in traditional protection cannot be designed to cover the entire length of the transmission line. Moreover, the rapid increase in distributed generations (DGs) connected to the transmission line may increase fault impedance seen through distance relay. It results in an under-reach and miscoordination problem due to incorrect impedance calculation. In this paper, the development of distance relay based on Wide-Area Protection (WAP) for transmission systems is presented. The proposed method enjoins to instantly collect information of the distance relay and the circuit breaker status in local substations and nearby substations. The simulation is developed by using the DigSILENT PowerFactory program. The results present that the proposed method can improve the stability and reliability of the protection system and overcome such a problem.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"35 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":"129566880","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

The Harmonic and Supraharmonic Emission of Battery Electric Vehicles in The Netherlands 荷兰纯电动汽车的谐波和超谐波排放

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-07-21 DOI: 10.1109/SEST48500.2020.9203533

T. Slangen, T. van Wijk, V. Ćuk, J. Cobben

{"title":"The Harmonic and Supraharmonic Emission of Battery Electric Vehicles in The Netherlands","authors":"T. Slangen, T. van Wijk, V. Ćuk, J. Cobben","doi":"10.1109/SEST48500.2020.9203533","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203533","url":null,"abstract":"This paper presents some of the Power Quality effects caused by common-used battery electric vehicles in The Netherlands. A set-up to control the charging current and to measure the voltage and current waveforms is developed in order to obtain a representative insight in possible disturbances caused by electric vehicle charging. Of main interest were both harmonic- (up to 2 kHz) and supraharmonic (2 kHz to 150 kHz) disturbances. Especially supraharmonics were of interest, because emission in this range is only partly standardized and battery electric vehicles are a known source of supraharmonic disturbances, leading to unwanted effects. The amount of reactive power is also taken into account. The most important conclusion is that, except for one, all tested battery electric vehicles are a source of harmonic and supraharmonic currents and therefore influence the power quality. It is observed that the harmonic behaviour of the chargers depends on whether nominal- or reduced charging currents are used. The findings of this research are use-full for the assessment of the impact electric vehicles have on the low-voltage grid.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127389560","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: 14

Formal Controller Synthesis for Frequency Regulation Utilising Electric Vehicles 基于电动汽车频率调节的形式控制器综合

2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-05-08 DOI: 10.1109/SEST48500.2020.9203234

B. Wooding, V. Vahidinasab, S. Soudjani

引用次数: 4