Computational Science in Smart Grids and Energy Systems
1School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
2Institute for Integrated Energy Systems, University of Victoria, P.O. Box 3055, Victoria, BC, Canada
3Platform Technologies Research Institute, RMIT University, City Campus, P.O. Box 2476, Melbourne, Australia
4School of Electrical and Computer Engineering, Cornell University, 328 Rhodes Hall, Ithaca, NY 14853-3501, USA
5School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China
Computational Science in Smart Grids and Energy Systems
Description
Computational science pertains to the study of mathematical models, numerical simulation, quantitative analysis, and optimization techniques for large-scale, complex, dynamic, and interconnected systems. As one of the most important integrated energy systems of the future, the “smart grid” allows integration of various renewable energy resources with communication and information technologies to meet spiraling growth of load demands. This will require new methods to ensure user interaction, mass measurement and data management, cyber security. Rigorous reliability and security operation standards for smart grids will require novel computational science technologies for online modeling, estimation, analysis, control, optimization, decision support, and regulation of different forms of energy generation and storage utilization.
The objective of this special issue is to examine and disseminate state of the art research and development in the application of computational science technologies in smart grids and energy systems and identify future research directions. We invite authors to contribute original papers with novel research contributions in all aspects of computational science for smart grids and energy systems. Potential topics include, but are not limited to:
- System modeling, planning, operation, stability, and control
- Complex and nonlinear dynamic analysis
- Stochastic modeling and optimization
- Wide area monitoring and control
- Integration of renewable energy resources
- Provision of ancillary services with demand response
- Plug-in electric vehicle-grid interactions (V2G and G2V)
- Energy storage systems
- Smart microgrids
- Real-time analysis and control methods
- Artificial intelligence systems and intelligent algorithms
- Technoeconomics analysis
- Big data techniques and cloud computing
- Smart-sensing, sense-making, and situational awareness
- Communication and cyber security
Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http:///www.hindawi.com/journals/jam/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jam/sgrid/ according to the following timetable: