2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)最新文献_第4页

Evaluation of load-following reserves for power systems with significant RES penetration considering risk management 考虑风险管理的显著RES渗透电力系统负荷跟随储备评估

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324574

N. Paterakis, A. Sanchez de la Nieta, J. Catalão, A. Bakirtzis, A. Ntomaris, J. Contreras

引用次数: 5

Development of partial-discharge-emulator for smart grid monitoring system 智能电网监测系统局部放电仿真器的研制

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324587

S. Latif, A. Baki

引用次数: 2

Key performance assessment of fuel cell based distributed energy generation system in resilient micro energy grid 弹性微能源网中基于燃料电池的分布式发电系统关键性能评估

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324618

M. Tomal, H. Gabbar

{"title":"Key performance assessment of fuel cell based distributed energy generation system in resilient micro energy grid","authors":"M. Tomal, H. Gabbar","doi":"10.1109/SEGE.2015.7324618","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324618","url":null,"abstract":"Distributed energy generation (DG) in micro energy grid (MEG) is anticipated to subjugate the shortcomings in current energy supply. Proton exchange membrane fuel cell (PEMFC) has been serving well in the automotive application and holds promises as a potential distributed generation technology. However, before qualifying as a potential technology, it must ensure high reliability, efficient utilization of recourses, and subjugate environmental impacts. The paper discusses the dynamic behavior of both standalone and grid connected closed loop controlled PEMFC distributed generation system. Moreover, based on the dynamic response, the key performance indicators (power quality, load response, efficiency etc.) have been evaluated. The results indicate that PEMFC can provide high quality power with acceptable THD and can cope with the rapid load change in the network. Besides, during heavily loaded grid connected condition, it can provide sufficient amount of real and reactive power to maintain the grid power quality. Finally, we have evaluated economic and environmental indicators for systems with fuel cell based power generation and fuel cell based micro-CHP. However, economy analysis of the system depicts that using PEMFC for only electricity generation does not qualify for efficient resource utilization. Thus, the paper suggests the use of fuel cell based CHP to ensure maximum utilization of natural resources while increase the system efficiency up to 90%.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128888408","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

Thermal Engine with Metastable Power Extraction Step (TEMPES) 具有亚稳态功率提取步骤(TEMPES)的热机

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324583

K. Rahnamai, G. Mungas

引用次数: 0

Smart maximum power extraction for wind energy systems 风能系统的智能最大功率提取

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324623

A. Eltamaly, Hassan M. H. Farh

引用次数: 8

Optimization based fuzzy resource allocation framework for smart grid 基于优化的智能电网模糊资源分配框架

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-12 DOI: 10.1109/SEGE.2015.7324627

S. Hussain, A. A. Al Alili, Ayesha Mohammed Al Qubaisi

{"title":"Optimization based fuzzy resource allocation framework for smart grid","authors":"S. Hussain, A. A. Al Alili, Ayesha Mohammed Al Qubaisi","doi":"10.1109/SEGE.2015.7324627","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324627","url":null,"abstract":"The integration of renewable energy resources with distributed and intermittent generation, diversity in operational scenarios, increased electrification, and mission critical energy demand has made the electric grid more vulnerable to imperceptible failures. Thus, resource allocation becomes a major area of research to allocate best power source to a sink and at the same time reduce the operating costs. Computational intelligence, optimization, and control play a vital role to overcome these challenges and make the grid smarter. This paper proposes a power flow control scheme using a framework of fuzzy logic (FL) and genetic algorithm (GA) to efficiently manage desired power flow levels within the smart grid. A fuzzy decision criteria is designed to choose a most suitable power source to deliver power to a certain demand. GA is used to choose a most suitable route from source to demand and optimize a cost function based on distance. Simulations show that the smart grid power flow can achieve the desired thresholds by incorporating the proposed approach even in the presence of unpredictable power fluctuations from renewable energy resources. This research provides an optimum power flow control framework to test even complex and practical electricity grids.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121613840","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

Design and classification of smart metering systems for the energy diagnosis of buildings 建筑能耗诊断智能计量系统的设计与分类

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-11-10 DOI: 10.1109/SEGE.2015.7324597

L. Martirano, M. Manganelli, D. Sbordone

{"title":"Design and classification of smart metering systems for the energy diagnosis of buildings","authors":"L. Martirano, M. Manganelli, D. Sbordone","doi":"10.1109/SEGE.2015.7324597","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324597","url":null,"abstract":"At present, buildings account for a great share of energy consumption. It is well known that building automation control systems allow for increasing opportunities of improvement in the performance of buildings, with respect to e.g. energy performance and indoor comfort. As system within a building become more and more complex, buildings can be regarded not merely as a load but as a smart micro grid, with the possibility of actively interacting with a smart grid. In the depicted context, metering is essential for assessing the performance of management and detecting improvement opportunities. The scope of the present work is to propose a best practice for the implementation of smart metering systems in buildings and a practical methodology to classify the systems. In the present work, a novel classification protocol is devised; an existing metering system is then evaluated and an improved metering system is proposed. The proposed protocol rates the system performance via a set of weighted indicators -according to positioning of meters, measured data, system architecture, data visualization and monitored loads -, then calculates an overall grade. The protocol is tested on an existing metering system in an educational building. The metering system returns a poor rating and a number of flaws are detected thanks to the benchmark protocol. An improved metering system is then proposed which fixes existing flaws and returns a much better grade. In conclusion, the designed classification protocol allowed diagnosing an existing metering system and pinpointing improvement opportunities and it can be a useful practice in diagnostics or design of smart metering systems.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191867","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

Accuracy comparison between Gompertz and polynomial based PV models Gompertz与多项式PV模型的精度比较

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-10-29 DOI: 10.1109/ECCE.2015.7310121

Y. Mahmoud, E. El-Saadany

引用次数: 16

Real-time co-simulated platform for novel Volt-VAR Optimization of smart distribution network using AMI data 基于AMI数据的新型智能配电网电压无功优化实时协同仿真平台

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324612

M. Manbachi, A. Sadu, H. Farhangi, A. Monti, A. Palizban, F. Ponci, S. Arzanpour

{"title":"Real-time co-simulated platform for novel Volt-VAR Optimization of smart distribution network using AMI data","authors":"M. Manbachi, A. Sadu, H. Farhangi, A. Monti, A. Palizban, F. Ponci, S. Arzanpour","doi":"10.1109/SEGE.2015.7324612","DOIUrl":"https://doi.org/10.1109/SEGE.2015.7324612","url":null,"abstract":"This paper presents a real-time co-simulated platform for novel voltage and reactive power optimization (VVO) of distribution grids through a real-time digital simulator (RTDS) in presence of a reliable communication platform. The proposed VVO engine is able to capture quasi real-time data from local Advanced Metering Infrastructure (AMI) and optimizes the distribution network for each quasi real-time stage (every 5 minutes) based on system main characteristics (i.e. active/reactive power of nodes). At each time stage, the VVO engine tries to minimize losses in the distribution network as well as to improve the voltage profile of the system. In order to test robustness, performance and the applicability of proposed Volt-VAR Optimization engine, a 33 node distribution network has been modeled and studied in a real-time Co-simulated environment by real-time simulator (RTDS) and a real communication platform with DNP.3 protocol. The preliminary results prove well-performance of proposed AMI-based VVO engine and show that the engine enables system to achieve higher level of loss/operating cost reduction through a sophisticated optimization engine compare with conventional approaches.","PeriodicalId":409488,"journal":{"name":"2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE)","volume":"8 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":"115030427","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: 7

Optimal coordination of Battery Energy Storages and Demand Response Programs with application to wind integration 电池储能和需求响应方案与风电一体化应用的优化协调

2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE) Pub Date : 2015-08-01 DOI: 10.1109/SEGE.2015.7324594

E. Heydarian‐Forushani, M. Golshan, M. Shafie‐khah, J. Catalão

引用次数: 6