会议名称(中文)：  2014 网络物理能源系统仿真建模研讨会
会议名称(英文)：  Workshop on Modeling and Simulation of Cyber-Physical Energy Systems 2014
所属学科：  计算机网络,控制系统仿真技术
开始日期：  2014-04-14
所在国家：  德国
所在城市：  德国
具体地点：  Berlin, Germany
主办单位：  美国计算机学会、IEEE Signal Processing Society

[ 组织结构 ] 
程序委员会主席：  Marija Ilić (Carnegie Mellon University, USA) Matthias Stifter (Austrian Institute of Technology)

[ 重要日期 ]
全文截稿日期：  2014-01-31

[ 会务组联系方式 ]
E-MAIL：  palensky@ieee.org 
会议网站：  http://www.palensky.org/mscpes/
会议背景介绍： 
Modern energy systems combine information technology, electrical and thermal infrastructure, autonomous roles and interact with other systems like markets and regulations. Existing modeling and simulation tools are not capable to cover such systems in all of their aspects, new languages, methods and tools are necessary. A combination of universal modeling languages like Modelica and established, specialized tools like grid simulators and tele-communication simulators is necessary. This leads to modeling and co-simulating hybrid systems where for instance a multi-agent framework and an electric grid simulator are combined to investigate smart electric vehicle charging algorithms. It is especially the potential size of such systems that constitute a challenge for modeling and simulation. Implementing these future CPS are another substantial challenge. The designed algorithms need to be compact, computationally inexpensive, potentially self-organizing and intrinsically stable if applied to real energy systems.
征文范围及要求： 
This workshop is a platform for researchers and developers to exchange ideas to the following (not exhaustive) list of topics:

Hybrid modeling and simulation
Co-Simulation
High-performance computing
Analytics of system data
Ontologies for energy systems
Applications of cyber-physical energy systems
Distributed algorithms and control
Standards in interfacing components
Numerics for hybrid and co-simulation
Formal languages for energy systems
Smart Grid modeling
Demand response and power quality
Information and communication technology for intelligent energy systems
Semi-analytical methods (stochastic differential equations, fluid stochastic Petri nets, etc.)