2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS)最新文献

Switched system models for coordinated cyber-physical attack construction and simulation 协同网络物理攻击构建与仿真的交换系统模型

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089026

Shan Liu, Xianyong Feng, D. Kundur, T. Zourntos, K. Butler-Purry

引用次数: 41

Modeling of a charging network for electric vehicles 电动汽车充电网络的建模

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089020

K. Nakano, Kazuyuki Miyakita, M. Sengoku, S. Shinoda

引用次数: 4

Evaluation and test environment for automation concepts in Smart Grids applications 智能电网应用中自动化概念的评估和测试环境

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089200

Christian Landsteiner, F. Andrén, T. Strasser

{"title":"Evaluation and test environment for automation concepts in Smart Grids applications","authors":"Christian Landsteiner, F. Andrén, T. Strasser","doi":"10.1109/SGMS.2011.6089200","DOIUrl":"https://doi.org/10.1109/SGMS.2011.6089200","url":null,"abstract":"The continuous growth of electric energy consumption is nowadays an irresistible fact. To stop this process renewable energy resources have to be used on a larger scale. Distributed renewable generation, which is a result of this trend, lead to various problems for the existing power grid which has not been designed to transport the current in both directions. With increasing and large numbers of distributed renewable energy resources it is to be feared that the power grid quality can only be hardly maintained. The introduction of Smart Grids technology is a promising approach to overcome such shortcomings. For developing the Smart Grids with distributed power generation a suitable laboratory environment is often necessary to test new Smart Grid network components and to validate new concepts. Therefore, the main purpose of this work is to define a suitable evaluation environment for developing, testing and validating automation, control and communication concepts in Smart Grids applications which fulfils the main requirements of a flexible, scalable, portable and hardware-independent system.","PeriodicalId":150875,"journal":{"name":"2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014823","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

Market-based coordinated charging of electric vehicles on the low-voltage distribution grid 低压配电网电动汽车市场化协调充电

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089021

M. Ghijsen, R. D’hulst

引用次数: 14

Dynamic one step ahead prediction of electricity loads at suburban level 城郊电力负荷动态超前一步预测

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089022

J. Milojković, V. Litovski

引用次数: 4

Exploiting V2G to optimize residential energy consumption with electrical vehicle (dis)charging 利用V2G优化住宅能源消耗与电动汽车(不)充电

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089203

Kevin Mets, Tom Verschueren, F. de Turck, Chris Develder

{"title":"Exploiting V2G to optimize residential energy consumption with electrical vehicle (dis)charging","authors":"Kevin Mets, Tom Verschueren, F. de Turck, Chris Develder","doi":"10.1109/SGMS.2011.6089203","DOIUrl":"https://doi.org/10.1109/SGMS.2011.6089203","url":null,"abstract":"The potential breakthrough of pluggable (hybrid) electrical vehicles (PHEVs) will impose various challenges to the power grid, and esp. implies a significant increase of its load. Adequately dealing with such PHEVs is one of the challenges and opportunities for smart grids. In particular, intelligent control strategies for the charging process can significantly alleviate peak load increases that are to be expected from e.g. residential vehicle charging at home. In addition, the car batteries connected to the grid can also be exploited to deliver grid services, and in particular give stored energy back to the grid to help coping with peak demands stemming from e.g. household appliances. In this paper, we will address such so-called vehicle-to-grid (V2G) scenarios while considering the optimization of PHEV charging in a residential scenario. In particular, we will assess the optimal car battery (dis)charging scheduling to achieve peak shaving and reduction of the variability (over time) of the load of households connected to a local distribution grid. We compare (i) a business-as-usual (BAU) scenario, without any intelligent charging, (ii) intelligent local charging optimization without V2G, and (iii) charging optimization with V2G. To evaluate these scenarios, we make use of our simulation tool, based on OMNeT++, which combines ICT and power network models and incorporates a Matlab model that allows e.g. assessing voltage violations. In a case study on a three-feeder distribution network spanning 63 households, we observe that non-V2G optimized charging can reduce the peak demand compared to BAU with 64%. If we apply V2G to the intelligent charging, we can further cut the non-V2G peak demand with 17% (i.e., achieve a peak load which is only 30% of BAU).","PeriodicalId":150875,"journal":{"name":"2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS)","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133977039","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: 84

Optimization models for consumer flexibility aggregation in smart grids: The ADDRESS approach 智能电网中用户灵活性聚合的优化模型:ADDRESS方法

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089206

A. Agnetis, G. Dellino, G. De Pascale, G. Innocenti, M. Pranzo, A. Vicino

引用次数: 33

Optimal real-time price based on a statistical demand elasticity model of electricity 基于电力需求弹性统计模型的最优实时电价

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089205

Rongshan Yu, Wenxian Yang, S. Rahardja

{"title":"Optimal real-time price based on a statistical demand elasticity model of electricity","authors":"Rongshan Yu, Wenxian Yang, S. Rahardja","doi":"10.1109/SGMS.2011.6089205","DOIUrl":"https://doi.org/10.1109/SGMS.2011.6089205","url":null,"abstract":"In this paper, we study the price elasticity of electrical demand in a smart grid framework where the loads of a power system are scheduled by energy management controller (EMC) units that aim to maximize users' benefits by considering both load utilities and real-time electricity price. We show that different price responsive behaviors of electrical loads result from interaction between their utilities and electricity prices. Here, the utility is modeled as a function of time in order to represent the timeliness of loads. Based on the developed theory, we introduce a parametric utility model from which the price elastic behaviors of aggregated loads from a power system are established statistically as multi-dimensional demand-price functions. Finally, we investigate the problem of optimal real-time electricity prices under the framework of social welfare maximization. Considering demand elasticity from users, we show here that the optimal real-time electricity prices that maximize the social welfare of a power system will match the marginal costs of energy production at load levels resulting from these optimal electricity prices. The solution for this can be pre-calculated using a simple iterative algorithm without the need for excessive information exchange between users and the utility company. Theoretical results from this paper are validated through numerical examples using a simplified power network.","PeriodicalId":150875,"journal":{"name":"2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132081855","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: 28

Simulation for the design of Smart Grid controls 智能电网控制器的仿真设计

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089201

F. Ponci, A. Monti, A. Benigni

引用次数: 14

Social interaction interface for performance analysis of smart grids 智能电网性能分析的社会交互界面

2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) Pub Date : 2011-12-01 DOI: 10.1109/SGMS.2011.6089202

J. D. de Haan, P. Nguyen, W. Kling, P. Ribeiro

引用次数: 30