Title :
Towards a Collaborative Simulation Platform for Renewable Energy Systems
Author :
Shuai Lu ; Yan Liu ; Da Meng
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
fDate :
June 28 2013-July 3 2013
Abstract :
To integrate wind and solar energy in electric systems, new technologies, such as energy storage and demand response, have been proposed to increase system flexibility. Control approaches and market rules are being developed accordingly to better manage these resources in multiple time scales. Therefore, models and software tools capable of performing hourly scheduling, intra-hour dispatch, and automatic generation control simulations are needed for testing these control approaches and for evaluating new market rules. At Pacific Northwest National Laboratory, we have developed an Electric System Intra-Hour Operation Simulator (ESIOS). Expanding this simulator as a service platform can benefit a larger community involved in exploring new models and controls and reducing the burden of maintaining a computing platform. Moreover the feedback and contribution from community users can help further improve the features of this simulation ecosystem. In this paper, we describe the function of this simulator. Based on our experience, we discuss the architecture design perspectives for transforming this simulator to an integrated collaborative service platform.
Keywords :
control engineering computing; digital simulation; groupware; power engineering computing; power system management; solar power; wind power; ESIOS simulator; Pacific Northwest National Laboratory; architecture design perspectives; automatic generation control simulations; collaborative simulation platform; control approaches; demand response; electric system intra-hour operation simulator; energy storage; hourly scheduling; intra-hour dispatch; market rules; renewable energy systems; solar energy; system flexibility; wind energy; Automatic generation control; Biological system modeling; Collaboration; Computational modeling; Computer architecture; Data models; Load modeling; collaborative software; design; energy system; simulation;
Conference_Titel :
Services (SERVICES), 2013 IEEE Ninth World Congress on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5024-4
DOI :
10.1109/SERVICES.2013.31