2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献

Estimating Faults in Nonlinear DC Microgrids with Constant Power Loads: A Dual-Extended Kalman Filter Approach 恒载非线性直流微电网故障估计:一种双扩展卡尔曼滤波方法

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584736

N. Vafamand, M. M. Arefi, M. Shafie‐khah, J. Catalão

{"title":"Estimating Faults in Nonlinear DC Microgrids with Constant Power Loads: A Dual-Extended Kalman Filter Approach","authors":"N. Vafamand, M. M. Arefi, M. Shafie‐khah, J. Catalão","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584736","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584736","url":null,"abstract":"This article investigates the problem of detecting and estimating actuator fault in direct current microgrids (DC MGs) with linear and nonlinear constant power loads (CPLs). The actuator fault is modeled by using an additive term in the state-space and highly influences the system response if it is not compensated. An advanced dual-extended Kalman filter (dual-EKF) is proposed to estimate the system states and the accruing actuator fault. Though the presented approach offers a systematic procedure to divide the augmented state vector into two parts and these parts can be estimated in parallel. Thereby, the online computational burden is reduced as it can be implemented by two processes in parallel. The proposed approach does not require restrictive assumptions on the system matrices and is robust against stochastic Gaussian noises. The proposed approach is applied on a practical faulty DC MG benchmark connected to a CPL; and, the results are compared with other state-of-the-art methods from the computational burden and estimation accuracy points of view.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"522 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123062789","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

An Adaptive-Neuro Fuzzy Inference System for Load Disaggregation in Residential Households 住宅负荷分解的自适应神经模糊推理系统

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584655

Muhammad Zaigham Abbas, I. A. Sajjad, S. Haroon, M. Nadeem, Rehan Liaqat, L. Martirano

{"title":"An Adaptive-Neuro Fuzzy Inference System for Load Disaggregation in Residential Households","authors":"Muhammad Zaigham Abbas, I. A. Sajjad, S. Haroon, M. Nadeem, Rehan Liaqat, L. Martirano","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584655","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584655","url":null,"abstract":"Optimization of energy cost and consumption is a vital topic in today’s world. Normally, smart meters are used to record the total energy consumption at the customers’ end across the entire building and the users only receive aggregate electricity bills at the end of each month providing the information of their energy consumptions. Optimization of energy cost can be done using a feedback system, which is realizable through Non-Intrusive Load Monitoring (NILM). NILM is a process of identifying household appliances by disaggregating the mains power measurement into each appliance individually. Due to diversity of appliances, NILM is a complex classification problem. In this research, the NILM problem to identify the activation of household appliances has been solved using a hybrid technique termed as Adaptive-Neuro Fuzzy Inference System (ANFIS). This article aims to identify regular household appliances from the smart meter measurement. A publicly available UK Domestic Appliance-Level Electricity (UK-DALE) dataset has been employed to test and verify the effectiveness of the proposed method using different performance evaluation parameters. The results are compared with the existing literature to demonstrate the effectiveness of the proposed technique for the NILM problem.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123102057","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

Synthetic Distribution Grid Generation Based on High Resolution Spatial Data 基于高分辨率空间数据的综合配电网生成

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584691

Antoine Bidel, Tom Schelo, T. Hamacher

引用次数: 1

Optimal Stochastic Conditional Value at Risk-based Management of a Demand Response Aggregator Considering Load Uncertainty 考虑负荷不确定性的需求响应聚合器风险管理的最优随机条件值

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584827

Morteza Vahid-Ghavidel, M. Javadi, S. Santos, M. Gough, M. Shafie‐khah, J. Catalão

{"title":"Optimal Stochastic Conditional Value at Risk-based Management of a Demand Response Aggregator Considering Load Uncertainty","authors":"Morteza Vahid-Ghavidel, M. Javadi, S. Santos, M. Gough, M. Shafie‐khah, J. Catalão","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584827","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584827","url":null,"abstract":"This paper models a novel demand response (DR) trading strategy. In this model, the DR aggregator obtains the DR from the end-users via two types of DR programs, i.e. a time-of-use (TOU) program and an incentive-based DR program. Then, it offers this DR to the wholesale market. Three consumer sectors, namely residential, commercial and industrial, are included in this problem. The DR program is dependent on their corresponding load profiles during the studied time horizon. This paper uses a mixed-integer linear programming (MILP) problem and it is solved using the CPLEX solver through a stochastic programming approach in GAMS. The risk measure chosen to represent the load uncertainty of the users who are participating in the DR program is Conditional Value-at-Risk (CVaR). The proposed problem is simulated and assessed through a case study of a test system. The results indicate that the industrial loads play a major role in the power system and this directly affects the DR program. Moreover, the risk-averse decision-maker in this model favors a reduced participation in the DR programs when compared to a decision-maker who is risk-neutral, since the risk-averse decision maker prefers to be more secure against uncertainties. In other words, an increase in risk factor results in a decrease in the participation rate of the consumers in DR programs.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124953006","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

Interactive visualization of IoT power quality data on mobile devices 移动设备上物联网电能质量数据的交互式可视化

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584771

Francisco Vera-Coca, A. Gil-de-Castro, R. Medina-Gracia, J. Garrido-Zafra, R. Savariego-Fernandez, A. Moreno-Muñoz

{"title":"Interactive visualization of IoT power quality data on mobile devices","authors":"Francisco Vera-Coca, A. Gil-de-Castro, R. Medina-Gracia, J. Garrido-Zafra, R. Savariego-Fernandez, A. Moreno-Muñoz","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584771","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584771","url":null,"abstract":"Ensuring the good health of industry operations is crucial as they are pushing themselves to have fully automated production. The mass adoption and rapid advancement of mobile devices has shifted the way in which businesses and consumers interact. Data visualization is an important method for big-data analytics, particularly to help human to comprehend and find pattern or trends. An Internet of Things (IoT) solution together with an adequate mobile application for proper data visualization would be extremely beneficial for the management of the facility and thus ensure continuous business operations. This paper describes an application for voltage sag visualization based on data monitored by an IoT PQ sensor. The sensor uses the ESP32 microcontroller to send data to the IoT platform monitored by an energy metering integrated circuit ADE9000. Through the new developed Android smartphone application, PQ data can be remotely accessed from remote smart phones, tablets or similar. The application uses Unity software. The paper shows measurements from voltage dips.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126196880","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

Effects of Heatwaves on the Failure of Power Distribution Grids: a Fault Prediction System Based on Machine Learning 热浪对配电网故障的影响:基于机器学习的故障预测系统

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584751

M. Atrigna, A. Buonanno, Raffaele Carli, Graziana Cavoney, Paolo Scarabaggioy, M. Valenti, G. Graditi, M. Dotoli

引用次数: 2

Moon Village: main aspects and open issues in lunar habitat thermoenergetics design. A Review 月球村:月球栖息地热能设计的主要方面和有待解决的问题。回顾

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584521

Roberto Rugani, F. Martelli, M. Martino, G. Salvadori

{"title":"Moon Village: main aspects and open issues in lunar habitat thermoenergetics design. A Review","authors":"Roberto Rugani, F. Martelli, M. Martino, G. Salvadori","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584521","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584521","url":null,"abstract":"From the introduction of the “Moon Village” concept by the ESA Director General Jan Wörner, the interest towards a permanent settlement on the Moon increased. International space agency and private companies started to investigate and design new solutions for permanent habitats on lunar soil. Many aspects in the design of space residences must be considered, with the awareness that human health and well-being must be at the centre of every design choice. The first aim of this paper is to outline the key aspects of two lunar habitats concepts, One Moon, developed by ESA, and MaMBA. Furthermore, the key issues related to an engineering design of the modules are discussed, with a particular attention to the thermo-energetic aspects. The issues of thermal comfort and energetic evaluation in living environments is becoming increasingly studied, with numerous reliable and tested tools for assessing ordinary places. The same can hardly be said for hostile places, where the safety and well-being of people are more difficult to provide. Therefore, a review of the main data needed for an energetic analysis of such a hostile place as the lunar planet is provided and analysed, with the intention to maximizes in-situ resource utilization.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340280","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

Design and Simulation Tools for Hybrid Fuel Cell Trains 混合燃料电池列车设计与仿真工具

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584749

L. Berzi, Francesco Cirillo, Viola Pagliazzi, L. Pugi, Alessandro Vecchi

引用次数: 0

A Review of Primary and Secondary Control for Islanded No-Inertia Microgrids 孤岛型无惯性微电网一次控制与二次控制研究进展

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584722

Manuela Minetti, Matteo Fresia

引用次数: 0

Bidding in Local Energy Markets Considering Uncertainty from Renewables and Demand 考虑可再生能源和需求不确定性的地方能源市场竞标

2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2021-09-07 DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584480

F. Lezama, J. Soares, Ricardo Faia, P. Faria, Z. Vale

{"title":"Bidding in Local Energy Markets Considering Uncertainty from Renewables and Demand","authors":"F. Lezama, J. Soares, Ricardo Faia, P. Faria, Z. Vale","doi":"10.1109/EEEIC/ICPSEurope51590.2021.9584480","DOIUrl":"https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584480","url":null,"abstract":"The penetration of distributed energy resources in distribution networks is currently enabling the emergence of local energy markets (LEM). However, considering renewable generation and load demand variability is crucial to realize such transactive energy systems. In this work, we propose a bi-level optimization model for bidding in LEM, considering the uncertainty of renewables and demand. At the upper-level, consumers, prosumers, and producers submit bids in a double-auction LEM to minimize the cost of consumers and maximize the profits of producers considering PV generation and demand variability. The lower-level corresponds to a pool-based LEM that maximizes the energy transactions of players. The problem complexity calls for alternative solutions methods, such as evolutionary computation, to find near-optimal solutions efficiently. Results suggest that the model can account for the uncertainty that may be realized in the day-ahead for load demand and PV generation but at the expense of a higher overall cost.","PeriodicalId":190757,"journal":{"name":"2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117002757","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