2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)最新文献_第5页

A new integrated charging infrastructure analytics service platform and applied research 新型集成充电基础设施分析服务平台及应用研究

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324600

Jianhua Zhang, Qinsheng Zhou, Zhongyou Li, Zhihui Yang

{"title":"A new integrated charging infrastructure analytics service platform and applied research","authors":"Jianhua Zhang, Qinsheng Zhou, Zhongyou Li, Zhihui Yang","doi":"10.1109/SEGE.2015.7324600","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324600","url":null,"abstract":"Recently, Chinese Government has published series of policies and regulations to promote the development of electric vehicles (EVs). With the large scale implementation of EVs, a challenge that has to be addressed is the problem of “range anxiety”. With the installation of the charging infrastructures in large scale, it is essential to establish a reasonable operation mode in order to create the win-win situation for the charging infrastructure owners and the EV drivers. Meanwhile, the reliability and safety of the distribution grid should also be considered. Most of the existing charging infrastructure service platforms only provide the solution to solve the problem of “range anxiety” using the information technologies (IT), not concern about the impact of the distribution grid with the popularization of the EVs. This paper proposes a new integrated charging infrastructure analytics service platform which provides the efficient charging management and value-added services for utilities, EV drivers, and the owners/operators of charging facilities. The proposed integrated platform not only provides the more accurate available charging infrastructures distribution for EV owners, but also helps the utilities to evaluate the reliability or efficiency of the power grid impacted by the EV charging activities. The platform provides an overall solution, by combining the IT and operational technologies (OT) including the features of remote data acquisition and supervisory control, cloud-based analytics services, and mobile applications, etc. Many of the state-of-the-art technologies would be utilized, such as wireless communication, mobility internet, and big data analytics, to optimize the charging characteristics of thousands of charging facilities.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123845111","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

Device optimization and application study of low cost printed temperature sensor for mobile and stationary battery based Energy Storage Systems 移动和固定电池储能系统中低成本印刷温度传感器的器件优化与应用研究

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324599

Joshua L. Grosch, E. Teuber, M. Jank, Vincent R. H. Lorentz, M. Mârz, L. Frey

{"title":"Device optimization and application study of low cost printed temperature sensor for mobile and stationary battery based Energy Storage Systems","authors":"Joshua L. Grosch, E. Teuber, M. Jank, Vincent R. H. Lorentz, M. Mârz, L. Frey","doi":"10.1109/SEGE.2015.7324599","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324599","url":null,"abstract":"One of the most important physical parameters for state estimation in battery based Energy Storage Systems (ESS) is the temperature. This physical quantity does not only strongly influence state estimation for battery management systems, but also significantly affects lifetime and return on investment finally. Thus, monitoring the cell temperature is essential when high performance and efficiency is demanded. Contrary to this fact, less temperature sensors than battery cells are implemented in state of the art battery systems, to limit system costs. In this paper a low cost temperature sensor is presented. Based on printed electronics technology, a broad spectrum of designs and substrates is processable which leads to a variety of possible applications. After the selection of design and concept for battery applications, the processing of the sensor device is described. The main part of the paper is about the experimental validation of the printed temperature sensor performance. In a high power charge and discharge cycle of a single battery cell, the printed sensor is directly compared to state of the art temperature sensors implemented in mobile or stationary battery systems. Finally, the results are discussed and future perspectives are given. Both, the advantages and disadvantages of the printed temperature sensor are shown, whereas for the latter possible solutions are pointed out with respect to further developments.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115523196","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: 8

Load Frequency Control in multi-area power system based on Fuzzy Logic-PID Controller 基于模糊逻辑- pid控制器的多区域电力系统负荷频率控制

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324614

Nour E. L. Yakine Kouba, M. Menaa, M. Hasni, M. Boudour

{"title":"Load Frequency Control in multi-area power system based on Fuzzy Logic-PID Controller","authors":"Nour E. L. Yakine Kouba, M. Menaa, M. Hasni, M. Boudour","doi":"10.1109/SEGE.2015.7324614","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324614","url":null,"abstract":"In an interconnected multi-area power system, as a power load demand varies randomly, in the case of any small sudden load change in any of the areas, both area frequency and tie-line power flow interchange also vary. The main goals of Load Frequency Control (LFC) are, to hold the frequency and the desired power output in the interconnected power system at the scheduled values and to control the change in the tie-line power flow between control areas. The purpose of this paper is to present basically an application of Fuzzy Logic Controller (FLC) based load frequency control using PID controller in multi-area interconnected power system. The fuzzy logic is employed to search for optimal values for the PID controller parameters. The three-area 9-unit model system is used for the simulation, and the transient responses are shown due to step load disturbances in area-1, area-2 and area-3. The main primary objective is to suppress all the fluctuation of the system frequency and tie-line power flow. By comparison to the conventional Ziegler-Nichols technique (Z-N) and to the heuristic Particle Swarm Optimization method (PSO), the effectiveness of the proposed method is confirmed.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"41 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120989211","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: 44

Experience of design and implementation intranet based telecommunication for phasor measurement 具有基于intranet的相量测量通信系统的设计与实现经验

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324605

D. F. Dakhlan, R. D. Dityagraha, M. Popov

引用次数: 2

Modeling and simulation of ICT network architecture for cyber-physical wind energy system 信息物理风能系统ICT网络体系结构建模与仿真

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324601

Mohamed A. Ahmed, Y. Kang, Young-Chon Kim

{"title":"Modeling and simulation of ICT network architecture for cyber-physical wind energy system","authors":"Mohamed A. Ahmed, Y. Kang, Young-Chon Kim","doi":"10.1109/SEGE.2015.7324601","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324601","url":null,"abstract":"There are many challenges and concerns about the impact of integrating more and more wind power farms (WPFs) into the power grid. A WPF can be considered as a cyber-physical energy system (CP-ES) due to the coupling between the physical power system and the cyber communication network. While the information and communication technology (ICT) infrastructure is the key concept to support a reliable operation, real-time monitoring and control of large-scale wind farms, it has been less addressed and rarely discussed. This work aims to design the ICT network architecture for a cyber-physical wind energy system (CP-WES) which consists of wind turbines, meteorological masts, substation, and a local control center. We consider different applications: operation data (analogue measurements & status information) from wind turbines, meteorological data from the meteorological towers, and protection & control data from intelligent electronic devices (IEDs). A real wind farm project (Zafarana-1, Egypt) has been considered as a case study. The proposed ICT network architecture is modeled and evaluated using OPNET Modeler. Network topology, link capacity, and end-to-end delay are three critical parameters investigated in this work. Our network model is validated by analyzing the simulation results.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127885915","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: 5

A novel DSTATCOM device for interconnected wind-grid system utilizations 一种新型的DSTATCOM设备，用于互联风力电网系统的利用

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324589

A. Abdelsalam

引用次数: 0

A comparison of on-board chargers for electric vehicles with variable DC-link voltage 可变直流电压电动汽车车载充电器的比较

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324598

S. Bolte, Alexander Speerschneider, N. Frohleke, J. Bocker

引用次数: 8

A smart technique for optimization and simulation of hybrid photovoltaic/wind/diesel/battery energy systems 一种用于光伏/风能/柴油/电池混合能源系统优化和仿真的智能技术

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324602

Ali M. Etamaly, M. A. Mohamed, A. Alolah

引用次数: 16

Model predictive control technique for energy optimization in residential appliances 家用电器能量优化的模型预测控制技术

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324578

David Oliveira, E. Rodrigues, T. D. P. Mendes, J. Catalão, E. Pouresmaeil

{"title":"Model predictive control technique for energy optimization in residential appliances","authors":"David Oliveira, E. Rodrigues, T. D. P. Mendes, J. Catalão, E. Pouresmaeil","doi":"10.1109/SEGE.2015.7324578","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324578","url":null,"abstract":"Several governments are phasing out coal fired generation power plants to reduce greenhouse gas emission. At the same time, nuclear generating facilities are reaching the end of their life and in the wake of the Fukushima disaster, developed countries have chosen to phase out nuclear energy early in the 2020s, removing 15% of the most stable and reliable portion of their energy mix. These two reasons create an urgent need to add new generating capacity or reduce consumption during peak periods, or both. The first option for power generation is the use of renewable energy resources, which can inject power to the grid without greenhouse gas emissions. But, the capacities of renewable energy resources are not enough to supply all the required power from the load side. All of these facts are leading to the proposal of novel approaches to reduce the utilization of energy in different sectors i.e. in residential, commercial, agricultural and/or industrial sectors to reduce the customer's total energy costs, energy demand, especially during on-peak, and greenhouse gas emissions, while taking into account the end-user preferences. The main objective of this paper is to demonstrate the impact of optimization technologies on energy savings of residential households. In this regard, a model-based predictive control approach is proposed for home cooling and heating systems. Its effectiveness is compared to thermostat conventional control by providing simulations upon 24 hours in a household.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125865779","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

Risk-sensitive stochastic optimization for storage operation management 基于风险敏感的仓储运营管理随机优化

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324608

S. Moazeni, Boris Defourny, A. Hajimiragha

引用次数: 1