2020 International Conference on Smart Energy Systems and Technologies (SEST)最新文献

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Energy Management System for Microgrid Considering Operational Faults in Power Supply 考虑供电运行故障的微电网能量管理系统
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203115
Vlademir A. Freire, J. J. Márquez, C. Bordons, A. Zafra-Cabeza, Lúcia Valéria Ramos de Arruda
{"title":"Energy Management System for Microgrid Considering Operational Faults in Power Supply","authors":"Vlademir A. Freire, J. J. Márquez, C. Bordons, A. Zafra-Cabeza, Lúcia Valéria Ramos de Arruda","doi":"10.1109/SEST48500.2020.9203115","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203115","url":null,"abstract":"Ideally, a Energy Management System (EMS) should keep the system in a safe and operational scenario even if a fault occurs. To help achieve this goal, this paper presents the development of a Model Predictive Control (MPC) strategy for energy management in microgrids combined with a fault detection and isolation system. The control strategy is based on an MPC that allows operational recovering if it identifies a fault in a system control input. In this study, adjustments occur by reduction of electricity consumption using Demand Response (DR) concepts such as load curtailment and reconfiguration of parameters that adapt the controller to the new power supply scenario. The proposed control strategy validation is carried out through simulation on a model of a real microgrid composed by renewable energy sources, local electrical grid and Energy Storage Systems (ESSs). Simulations show satisfactory preliminary results.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"18 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":"124841492","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
Anomaly Detection in the Distribution Grid: A Nonparametric Approach 配电网异常检测:一种非参数方法
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203139
Mostafa Mohammadpourfard, Karim Amiri, B. Mohammadi-ivatloo, A. Anvari‐Moghaddam, Mohammad Ebrahimnejad Shalmani, Abdolsaheb Arjmand
{"title":"Anomaly Detection in the Distribution Grid: A Nonparametric Approach","authors":"Mostafa Mohammadpourfard, Karim Amiri, B. Mohammadi-ivatloo, A. Anvari‐Moghaddam, Mohammad Ebrahimnejad Shalmani, Abdolsaheb Arjmand","doi":"10.1109/SEST48500.2020.9203139","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203139","url":null,"abstract":"Owing to the development of smart grids technologies, including renewable energy resources and integrated demand response, the traditional distribution network undergoes systemic improvements and has become an active system. To meet such changes in technology, the smart distribution grid is highly dependent on communication infrastructures. Although this strong reliance can make the distribution network susceptible to cyber threats, there has been inadequate attention to the distribution network cyber-security. An intruder can disrupt communication and effectively target the distribution management system core functions, leaving the distribution grid susceptible to loss of stability boundaries. One means of ensuring the stability of the distribution system is to explicitly utilize proven algorithms for transmission grid’s attack detection. Nevertheless, various features of the distribution grid may trigger current algorithms to malfunction. This paper attempts therefore to explain these unique features and to integrate them into the attack detection algorithm. For example, for designing detection mechanism, we utilize the high r/x ratio, tree structure and dynamic variation of load profiles. Afterwards, using a kernel density estimation technology together with statistical calculations, an unsupervised anomaly detection procedure is suggested. This follows by an outlier detection to identify attacks. We validate the proposed method on the IEEE 33-bus test system. Simulation results demonstrate that the proposed algorithm correctly identifies the distribution system anomalies at a high detection rate.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"195 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":"116660161","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
Transmission and Distribution System Expansion Planning Considering Network and Generation Investments under Uncertainty 不确定条件下考虑电网和发电投资的输配电系统扩容规划
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203430
G. Muñoz-Delgado, J. Contreras, J. Arroyo, A. Sanchez de la Nieta, M. Gibescu
{"title":"Transmission and Distribution System Expansion Planning Considering Network and Generation Investments under Uncertainty","authors":"G. Muñoz-Delgado, J. Contreras, J. Arroyo, A. Sanchez de la Nieta, M. Gibescu","doi":"10.1109/SEST48500.2020.9203430","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203430","url":null,"abstract":"Due to the increased deployment of distributed generation, it becomes important to compute the ideal expansion plan for the overall system, even though, in practice, transmission and distribution network planners solve their problems independent of each other, leading to sub-optimal solutions. Therefore, this paper addresses the integrated expansion planning problem of transmission and distribution systems where investments in network and generation assets are jointly considered. Several alternatives are available for the installation of lines as well as conventional and wind-based generators at both system levels. Thus, the optimal expansion plan identifies the best alternative for the candidate assets under uncertain demand and wind power production. The proposed model is an instance of stochastic programming wherein uncertainty is characterized through a set of scenarios that explicitly capture the correlation between the sources of uncertainty. The resulting stochastic program is driven by the minimization of the total expected cost, which comprises investment and operating cost terms. The associated scenario-based deterministic equivalent is formulated as a mixed-integer linear program for which finite convergence to optimality is guaranteed. Numerical results show the effective performance of the proposed approach.","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":"121953547","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
Dimensioning the Internal Components of a Hydrogen Storage Power Plant 贮氢电站内部部件的尺寸确定
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203503
Martin Töpfer, N. Ahmed, H. Weber
{"title":"Dimensioning the Internal Components of a Hydrogen Storage Power Plant","authors":"Martin Töpfer, N. Ahmed, H. Weber","doi":"10.1109/SEST48500.2020.9203503","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203503","url":null,"abstract":"Electrical power networks today are undergoing a transition towards integrating an ever increasing proportion of renewable energy sources. However, reducing the number of conventional fossil fuel based power plants introduces additional challenges in terms of grid stability. One of the solutions to this is to implement large-scale electrical energy storages in the grid, which not only provides the required ancillary services to ensure stability, but also compensates for the intermittent behaviour of renewable sources. Such a system is called the Hydrogen Storage Power Plant. In this paper, a futuristic scenario is highlighted, where a 500 MW coal power plant in the eastern German grid is replaced with a Hydrogen Storage Power Plant. The necessary storage elements inside it are dimensioned to provide the required frequency regulating. Next, for two study cases, the response of both types of power plants to disturbances in the network are compared. The results show that the storage power plants can ensure operation of the grid with the same reliability as coal power plants.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"31 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":"121596714","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
Analysis of a Coordinated Infrastructure Development for Supplying Battery and Fuel Cell Electric Vehicles 电池与燃料电池电动汽车配套基础设施建设分析
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203398
Cristian Monsalve, Stephan Ruhe, Samir Kharboutli, S. Nicolai
{"title":"Analysis of a Coordinated Infrastructure Development for Supplying Battery and Fuel Cell Electric Vehicles","authors":"Cristian Monsalve, Stephan Ruhe, Samir Kharboutli, S. Nicolai","doi":"10.1109/SEST48500.2020.9203398","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203398","url":null,"abstract":"The integration of electric vehicles has been proposed as one viable alternative for reducing CO2 emissions in the mobility sector. However, the effects of the integration of electric vehicles in distribution grids must be assessed to support the decision-making for planning future electrical grids. In this sense, this paper evaluates the technical effects of the integration of electric charging and H2-filling infrastructure in distribution grids for at different development scenarios of battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV). Considering that zero-emission electric vehicles (ZEEV) will play a relevant role as suitable technology for reduction CO2 emission, it is required to determine the required measures that need to be performed in order to ensure the security and reliability of the electrical system. Thereby, the main contribution of this paper is a technical evaluation of the German distribution grids under different market development scenarios for ZEEV until 2050, which allows determining the impact and reinforcements measures required for a sustainable integration of H2-filling and charging infrastructure in Germany. On the other hand, it provides some recommended actions to be considered in the development plans for network operators and political frameworks.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"55 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":"124091073","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
LabVIEW FPGA Based BLDC Motor Control by Using Field Oriented Control Algorithm 基于LabVIEW FPGA的无刷直流电动机定向控制算法
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203104
G. Tatar, H. Korkmaz, N. F. Serteller, Kenan Toker
{"title":"LabVIEW FPGA Based BLDC Motor Control by Using Field Oriented Control Algorithm","authors":"G. Tatar, H. Korkmaz, N. F. Serteller, Kenan Toker","doi":"10.1109/SEST48500.2020.9203104","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203104","url":null,"abstract":"BLDC (Brushless Direct Current) motors are widely used today due to its high reliability and high efficiency. These motors are synchronous motors that have a linear relationship between voltage-speed and current-torque. To control these kinds of motors, inverters are needed. Inverters create a rotational movement in the motor by switching at the appropriate time according to the rotor position information. Rotor position is obtained in two ways, with and without sensor. Sensor method uses encoders, resolvers or hall effect sensor. Hall-effect sensors are generally preferred for the control of BLDC motors in terms of cost. In this study, the rotor position was obtained by using hall-effect sensor. Pulse Width Modulation (PWM) is used to control the frequency and voltage of the inverters. Today, Sinusoidal PWM (SPWM) and Space Vector Pulse Width Modulation (SVPWM) techniques are frequently used in such applications. This study explains the development of a Field Oriented Control Algorithm (FOC) based on SVPWM technique by using the LabVIEW FPGA Module for a BLDC Motor. It also shows the effects of using PI and FFC (Feed Forward Control) algorithm together and separately in the controller for the control of Id and Iq reference currents. In addition, simulation of all project was developed and run in Matlab/Simulink.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"68 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":"129905110","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
Boosting Smart Building Energy Saving Capacity using Phase Change Materials 利用相变材料提升智能建筑节能能力
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203415
M. Kheradmand, S. Javadi, Xiaoshu Lü
{"title":"Boosting Smart Building Energy Saving Capacity using Phase Change Materials","authors":"M. Kheradmand, S. Javadi, Xiaoshu Lü","doi":"10.1109/SEST48500.2020.9203415","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203415","url":null,"abstract":"Energy consumption in buildings accounts for over 30% of the total energy use in the world, so it is a priority in the EU. Phase change materials (PCMs) can assist for thermal regulation, because they can save and release the heat. In smart buildings, consumers can incorporate in managing building energy systems, by Demand Response Programs (DRPs). One applicable method is to include PCM as interior coating. Two groups of tests in a test house are investigated concerning: (i) a case in which a PCM is introduced in the mortar; (ii) a base case in that a regular mortar is considered. The two cases are subjected to simulate real temperature variation (summer and winter scenarios). Temperature difference of the \"measurement point\" showed that the heating/cooling system is turning on for a total of 7.83h under winter scenario for the base case, whereas the PCM case allowed a decrease in the heating time to 7.75h, which represents a 1.1% saving alone. In the case of summer scenario, the heating/cooling system is turning on for 5.5h per day in the base case, whereas the PCM case allowed a decrease in the heating time to 5h, which illustrates a 10% saving alone.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"42 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":"125587040","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
A-Day-Ahead Photovoltaic Power Prediction Based on Long Short Term Memory Algorithm 基于长短期记忆算法的光伏发电日前功率预测
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203481
S. Miraftabzadeh, M. Longo, F. Foiadelli
{"title":"A-Day-Ahead Photovoltaic Power Prediction Based on Long Short Term Memory Algorithm","authors":"S. Miraftabzadeh, M. Longo, F. Foiadelli","doi":"10.1109/SEST48500.2020.9203481","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203481","url":null,"abstract":"In recent years, Photovoltaic System (PV) have been installed in parking lots in order to provide the green energy to Electric vehicles (EVs). Energy Synchronizing between PV generations and EVs demand is a function of different variables, and it is very challenging. Having an accurate prediction of PV generation helps to ease the complexity of this problem. Although various Machine Learning (ML) techniques have been applied and resulted well, traditional ML approaches need years of history of PV generations to make an accurate prediction. In many cases, parking lots or the houses recently equipped by PV panels, and this information is not available. Therefore, the primary motivation of this work is to build a reliable deep learning forecasting model based on Long Short Term Memory (LSTM) architecture in order to make a short-term prediction based on the limited previous observation. The proposed model is applied to a month of the PV power generation data and resulted in the promising accuracy with the Mean Absolute Percentage Error (MAPE) value of 0.028.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"26 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":"134132916","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: 11
Optimal Sizing and Siting of EV Charging Stations in a Real Distribution System Environment 真实配电系统环境下电动汽车充电站的优化规模与选址
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203542
İbrahim Şengör, Ayşe Kübra Erenoğlu, O. Erdinç, A. Taşcıkaraoǧlu, I. Tastan, Ali Fuat Büyük
{"title":"Optimal Sizing and Siting of EV Charging Stations in a Real Distribution System Environment","authors":"İbrahim Şengör, Ayşe Kübra Erenoğlu, O. Erdinç, A. Taşcıkaraoǧlu, I. Tastan, Ali Fuat Büyük","doi":"10.1109/SEST48500.2020.9203542","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203542","url":null,"abstract":"Fully electric vehicles have started to gain more importance due to the idea of allowing increased use of electricity in the transportation sector in recent years. However, high penetration of electric vehicles into the existing power systems may cause significant challenges especially for the distribution systems due to their charging demand. This study covers a mixed-integer linear programming model with the aim of optimal locating and dimensioning for electric vehicle charging stations in a distribution system. The proposed model is tested in the distribution system of a region in Turkey managed by the Osmangazi Electricity Distribution Company. Besides, the study considers the power flow between the regions via linear approximation of losses. Therefore, the propounded model includes power flow restrictions due to the power limitation of the grid, transformers, and the transmission capacity of branches. To show the efficacy of the model, simulations are conducted by using measured load data along with the actual electric vehicle data.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"21 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":"134608163","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
Application of Routing Algorithms in Automated Distribution Network Planning 路由算法在配电网自动化规划中的应用
2020 International Conference on Smart Energy Systems and Technologies (SEST) Pub Date : 2020-09-01 DOI: 10.1109/SEST48500.2020.9203552
K. Cibis, J. Wruk, M. Zdrallek
{"title":"Application of Routing Algorithms in Automated Distribution Network Planning","authors":"K. Cibis, J. Wruk, M. Zdrallek","doi":"10.1109/SEST48500.2020.9203552","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203552","url":null,"abstract":"This contribution focuses on the presentation of an optimization tool for the automated planning of smart low-voltage (LV) networks. Furthermore, the methods developed in the scope of this paper for the determination of optimal cable routes are presented and explained. First of all the methodologies of the automated network planning tool and the different methods to determine cable paths are described. Afterwards the routing methods are applied to a typical LV network to analyze differences and usability considering different input data. Finally, the calculated routes are applied to the automated network planning process, followed by an analysis of the results. Existing routes form a sufficient basis for the automated implementation of future expansion plans. The optimal outcome of the usage of OpenRouteService can be produced for areas with many newly build roads, since these can lead to shorter courses within the network.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"172 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":"132465084","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
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