2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)最新文献
{"title":"Diagnostics of Technical State of Modern Transformer Equipment Using the Analytic Hierarchy Process","authors":"V. Manusov, D. V. Orlov, V. V. Frolova","doi":"10.1109/EEEIC.2018.8493904","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493904","url":null,"abstract":"The new method of expert diagnostics of technical state for transformer power equipment at substations of power systems and facilities is proposed. It is based on the analytic hierarchy process. It was proved that it is possible to make a plausible prediction on the reasons of failures and faults for power equipment using some symptoms and pairwise comparisons of expert evaluations. The paper focuses on diagnostics of the current technical state of transformers with high temperature superconducting windings (HTS transformers). Reliability of the results of the proposed method is validated by calculations that demonstrate the adequacy of the model applied to HTS transformer. The new mathematical model developed using fuzzy relations of fault symptoms includes elements for predicting possible failures of power equipment, that can be used as a subsystem of on-line diagnostics. As a result, it allows implementing the HTS transformers as an innovative solution for electric power industry.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84577238","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}
Ana Turk, Monika Sandelic, J. Pillai, S. Chaudhary
{"title":"Frequency Control with Flexible Demand and Storages to Support Large Renewable Energy Generation","authors":"Ana Turk, Monika Sandelic, J. Pillai, S. Chaudhary","doi":"10.1109/EEEIC.2018.8494610","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494610","url":null,"abstract":"An increase in the installed capacity of renewable energy sources in power system may lead to frequency deviation problems due to their intermittent nature and subsequent mismatch between generation and demand. Therefore, new components should be used to provide frequency regulation, and thus assure stable frequency. One of the solutions is the integration of energy storage systems and flexible loads. This paper investigates the dynamic influence and performance of thermostatically controlled electric water heaters and battery energy storage systems for frequency regulation in an interconnected two-area power system with high penetration of variable renewable energy generation.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"24 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84807910","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}
{"title":"A Small-Scale Prototype for the Optimization of PV Generation and Battery Storage through the Use of a Building Energy Management System","authors":"G. Barchi, G. Miori, D. Moser, S. Papantoniou","doi":"10.1109/EEEIC.2018.8494012","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494012","url":null,"abstract":"The use of renewable energy sources to cover, at least partially, the energy demand of residential, industrial and commercial buildings is fundamental for sustainability and CO2 emission reduction. In this respect, the so-called energy management systems play a key role to maximize the amount of energy produced by local, renewable-based generators that are consumed by the same buildings where such generators are installed. In this paper, we present a prototype consisting of a photovoltaic (PV) generator and a battery energy storage system (BESS), properly coordinated by a building energy management system (BEMS), designed to handle the power flows of a shopping mall, while taking into account the BESS state of charge and the actual power demand. The control strategy implemented in the BEMS is one key point of the work. Some preliminary experimental results confirm the validity of the proposed approach.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79774217","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}
{"title":"A Neural Network Based Resilient Control Design for Distributed Power Systems Under Faults and Attacks","authors":"Alireza Abbaspour, A. Sargolzaei, K. Yen","doi":"10.1109/EEEIC.2018.8494626","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494626","url":null,"abstract":"A novel active resilient control system is developed for distributed power systems (DPSs) under false data injection (FDI) attacks, and faults. The proposed system works based on a new anomaly detection (AD) design which consists of a Luenberger observer and an artificial neural network (ANN). The ANN structure is developed by Extended Kalman filter (EKF) to improve the ANN ability for the online AD in the power system. Based on the feedback data received from the AD system, the resilient controller will be designed, which eliminates the need for control reconfiguration. The resiliency of the proposed design against FDI attacks and faults in the sensors is tested on a Load Frequency Control (LFC) system through numerical simulations. Based on simulation results, the proposed active resilient control system can successfully detect anomalies in the actuators and compensate for their effects on DPSs.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"33 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85112876","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}
Ivan Colla, A. Consilvio, Andrea Olmi, Andrea Romano, M. Sciutto
{"title":"High Density - HD Using ERTMS: The Italian Solution for the Railway Traffic Management","authors":"Ivan Colla, A. Consilvio, Andrea Olmi, Andrea Romano, M. Sciutto","doi":"10.1109/EEEIC.2018.8493812","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493812","url":null,"abstract":"The HD ERTMS solution for railway traffic management is presented. It allows to achieve “high density” railway traffic, increasing the number of trains on the existing railway lines. The proposed solution is based on the ERTMS technological standard and can be integrated with existing signaling systems minimizing field intervention: HD ERTMS trains do not interfere with trains equipped by other signaling and train separation systems. The railway traffic simulation software RFI NET has been upgraded to verify HD ERTMS potentiality and to optimize rail traffic on lines, nodes and stations. Finally, results of the first HD ERTMS application to the Italian railway node of Florence are presented.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82271511","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}
Luiz Guilherme Gonzaga Borba Ferreira, A. Alves, J. L. Domingos
{"title":"Analysis of Wind Loading on Photovoltaic Panels Mounting Brackets","authors":"Luiz Guilherme Gonzaga Borba Ferreira, A. Alves, J. L. Domingos","doi":"10.1109/EEEIC.2018.8494564","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494564","url":null,"abstract":"This paper aims to analyze the wind flow in a photovoltaic system installed on a flat roof and verify the structural behavior of the photovoltaic panels mounting brackets. The study is performed by computational simulations using Computational Fluid Dynamics resources and equations of solid mechanics and structural analysis. The results present the wind actions, wind exerted pressures and the structural behavior of the mounting brackets, drawing attention to the concentration of pressures at fix points of the supports, serving as an alert to perform a good and safety system assembly.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"40 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84046503","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}
N. Bazmohammadi, Ahmadreza Tahsiri, A. Anvari‐Moghaddam, J. Guerrero
{"title":"Stochastic Predictive Control of Multi-Microgrid Systems","authors":"N. Bazmohammadi, Ahmadreza Tahsiri, A. Anvari‐Moghaddam, J. Guerrero","doi":"10.1109/EEEIC.2018.8494353","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494353","url":null,"abstract":"This paper presents a stochastic predictive control algorithm for a number of microgrids connected to the same distribution system. Each microgrid includes a variety of distributed resources such as wind turbine, photo voltaic units, energy storage devices and loads. Considering the uncertainty of loads and renewable-based distributed resources, the power management problem is formulated in the framework of stochastic control. The microgrids operation are coupled through a joint probabilistic constraint which requires the power flow from utility to each microgrid limits to a pre-specified range. Utilizing probabilistic distribution function of uncertain variables, the deterministic counterpart of the problem is derived and a close-optimal solution of the problem is achieved. The Monte-Carlo simulation analysis is used to justify the robustness characteristics of the solution.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"141 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80162714","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}
Morteza Vahid-Ghavidel, B. Mohammadi-ivatloo, M. Shafie‐khah, G. Osório, N. Mahmoudi, J. Catalão
{"title":"Trading Framework for Demand Response Aggregators Using Information-Gap Decision Theory to Address Uncertainty and Risk-Management","authors":"Morteza Vahid-Ghavidel, B. Mohammadi-ivatloo, M. Shafie‐khah, G. Osório, N. Mahmoudi, J. Catalão","doi":"10.1109/EEEIC.2018.8493699","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8493699","url":null,"abstract":"In this work a new trading framework for demand response (DR) aggregators is proposed using a non-probabilistic model. In this model, DR is acquired from consumers to sell it to the purchasers by aggregators. Two programs, i.e., time-of-use (TOU) and reward-based DR program, are implemented to obtain DR from consumers. Then, the obtained DR is sold to buyers via two considered agreements, i.e., fixed DR contracts and DR options. The information-gap decision theory is also employed to consider the uncertainties for risk-averse aggregators. Consumer's participation behavior is considered as an uncertain parameter. A robustness function is proposed to examine the immunity of the model against adverse variations of uncertain parameters. The feasibility of the proposed model is studied on the real-world data.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"147 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80626988","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}
N. Djagarov, Z. Grozdev, Vencislav Varbev, G. Predoi, J. Djagarova, M. Bonev, Hristo Milushev
{"title":"Investigation of Dynamic Mode Operation of Ship's Electrical Power Systems by Simulation","authors":"N. Djagarov, Z. Grozdev, Vencislav Varbev, G. Predoi, J. Djagarova, M. Bonev, Hristo Milushev","doi":"10.1109/EEEIC.2018.8494527","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494527","url":null,"abstract":"Ship power supply systems must provide electric power to different consumers in all modes of operation. The power management is performed by the power management system (PMS). To this management is require requirements for efficiency, stability and reliability. These requirements contradict each other and require appropriate optimal design. In the present article is used a mathematical model to examine various normal and emergency modes of operation managed by PMS. The results obtained from the study can be used in the design of ship power systems, controllers for their individual components and PMS.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"98 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80748789","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}
{"title":"Smart City and Cultural Heritage: Resilience Trought Crowdsourcing Involvement","authors":"A. D'Angelo, L. Ricciardi, L. Gugliermetti","doi":"10.1109/EEEIC.2018.8494355","DOIUrl":"https://doi.org/10.1109/EEEIC.2018.8494355","url":null,"abstract":"Nowadays cultural heritage faces many challenges which require the implementation of resilient policies: in fact, threats against cultural heritage may come not only from manmade hazards but also from natural ones (i.e. earthquakes in central Italy and sacks and devastation in Palmyra site by Daesh fighters). To preserve from damages those places, strong preventive actions have been started. Now the actual implementation is limited to digital materials comprising photos, videos and documents. The research proposes the use of crowdsourcing as instrument to build the database necessary to make 3D models of cultural assets at low costs and with a short development time. Crowdsourcing is the practice of obtaining needed services, ideas, or content by soliciting contributions from a large group of people. Thus, tourists and inhabitants can contribute in the preservation process of cultural assets increasing the resilience of cities.","PeriodicalId":6563,"journal":{"name":"2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83094088","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}