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Smart Grid Economics

 

Smart grid refers to the next generation of electrical grid, which attempts to intelligently predict and respond to the behavior and actions of all entities in the grid in order to efficiently deliver reliable, economic, and sustainable electricity services. Due to the extra grid intelligence as well as new ways of generating, transporting, storing, and using energies, there are many new challenging resource allocation and economic issues to be resolved. Our current research focuses on smart grid include: (1) we look at the economics of vehicle-to-grid (V2G) service, and study how to incentivize electrical vehicle owners to provide ancillary services (e.g., frequency regulation) to the smart grid; and (2) we study how the smart grid should integrate the renewable energy generation (e.g., wind power) through proper pricing mechanisms and demand side management.

 

 
 
Representative Publications
In Press
Bahrami, Shahab, Vincent W. S. Wong, and Jianwei Huang. "Data Center Demand Response in Deregulated Electricity Markets." IEEE Transactions on Smart Grid (In Press). Download: 08305533.pdf (1.34 MB)
Wang, Shuoyao, et al. "Electrical Vehicle Charging Station Profit Maximization: Admission, Pricing, and Online Scheduling." IEEE Transactions on Sustainable Energy (In Press). Download: 08304623.pdf (1.78 MB)
Wang, Hao, and Jianwei Huang. "Incentivizing Energy Trading for Interconnected Microgrids." IEEE Transactions on Smart Grid (In Press). Download: 07582518.pdf (1.03 MB)
2018
Bahrami, Shahab, Vincent W. S. Wong, and Jianwei Huang. "An Online Learning Algorithm for Demand Response in Smart Grid." IEEE Transactions on Smart Grid. 16.11 (2018): 2983-2999. Download: 07849144.pdf (2.61 MB)
2017
Yuan, Wei, Jianwei Huang, and Yingjun Zhang. "Competitive Charging Station Pricing for Plug-in Electric Vehicles." IEEE Transactions on Smart Grid. 8.2 (2017): 627-639. Download: 07352372.pdf (1.26 MB)
Wang, Hao, and Jianwei Huang. "Joint Investment and Operation of Microgrid." IEEE Transactions on Smart Grid. 8.2 (2017): 833-845. Download: 07348686.pdf (3.02 MB)
Zhao, Dongwei, et al. Pricing-based Energy Storage Sharing and Virtual Capacity Allocation. IEEE International Conference on Communications (ICC). Paris, France, 2017. Download: Dongwei_ICC2017.pdf (2.2 MB)
2016
Wang, Hao, et al. "Proactive Demand Response for Data Centers: A Win-Win Solution." IEEE Transactions on Smart Grid. 7.3 (2016): 1584-1596. Download: 07346506.pdf (1.16 MB)
Wang, Hao, and Jianwei Huang. "Cooperative Planning of Renewable Generations for Interconnected Microgrids." IEEE Transactions on Smart Grid. 7.5 (2016): 2486-2496. Download: 07450653.pdf (877.54 KB)
Qian, Liping, et al. Demand Response Management via Real-Time Electricity Price Control in Smart Grids." Smart Grid: Networking, Data Management, and Business Models. CRC Press, 2016.  Download: demandresponse_chapter_2016.pdf (513.93 KB)
2013
Qian, Liping, et al. "Demand Response Management via Real-time Electricity Price Control in Smart Grids." IEEE Journal on Selected Areas in Communications. 31.7 (2013): 1268-1280. Download: jsac0713qian.pdf (801.17 KB)
Wang, Hao, et al. Exploring Smart Grid and Data Center Interactions for Electric Power Load Balancings. ACM Greenmetrics. Pittsburg, USA, 2013. Download: GreenMetrics2013.pdf (253.76 KB)
2012
Wu, Chenye, Hamed Mohsenian-Rad, and Jianwei Huang PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach. IEEE International Conference on Smart Grid Communications (SmartGridComm) - Best Paper Award. Tainan, Taiwan, 2012. Download: stackelbergGame.pdf (744.47 KB)
Wu, Chenye, Amir-Hamed Mohsenian-Rad, and Jianwei Huang. "Vehicle-to-Aggregator Interaction Game." IEEE Transactions on Smart Grid. 3.1 (2012). Download: WuHamedHuang2011.pdf (1.69 MB)
Wu, Chenye, Hamed Mohsenian-Rad, and Jianwei Huang. Vehicle-to-grid systems: ancillary services and communications." Smart Grid Communications and Networking. Cambridge University Press, 2012.  Download: WuHamedHuangBook2011.pdf (738.15 KB)

 



story | by Dr. Radut