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Renewable Energy Integrations

Renewable energy sources, in particular wind power, are becoming significant power generation technologies around the world. However, wind powers (and many other renewable energy resources such as solar power) are highly stochastic and often uncontrollable, which makes it difficult to guarantee the balance between load and generation in the power grid at all times. Moreover, wind generation is non-dispatchable, which means that the output of wind turbines must be taken by the grid completely rather than partially based on demand. One possible solution for this issue is to use fast-responding generators (such as natural gas units which are usually expensive and have high carbon footprints) to compensate the fluctuations of the wind turbines output. Alternatively, we can implement advanced demand side management (DSM) programs that adjust the controllable load to match the available power generated. Our focus in this project is on this latter case.

We provide the Hong Kong solar and wind energy generation data to the research community. 



Project Team

NCEL Members: Jianwei Huang
Collaborators: A. Hamed Mohsenian-Rad (Texas Tech University), Chenye Wu (Tsinghua Univesity), and Yuexuan Wang (Tsinghua University)

In Press
Wang, Hao, and Jianwei Huang. "Incentivizing Energy Trading for Interconnected Microgrids." IEEE Transactions on Smart Grid (In Press). Download: 07582518.pdf (1.03 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)
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)
Wang, Hao, and Jianwei Huang Bargaining-based Energy Trading Market for Interconnected Microgrids. IEEE ICC. London, UK, 2015. Download: ICC2015_Wang.pdf (531.81 KB)
Wang, Hao, and Jianwei Huang Hybrid Renewable Energy Investment in Microgrid. IEEE SmartGridComm. Venice, Italy, 2014. Download: Investment_SmartGridComm_2014.pdf (1.23 MB)
Wu, Chenye, Amir-Hamed Mohsenian-Rad, and Jianwei Huang Wind Power Integration via Aggregator-Consumer Coordination: A Game Theoretic Approach. IEEE PES Innovative Smart Grid Technologies Conference. Washington, DC, USA, 2012. Download: WuA.HHua1201.pdf (420.51 KB)
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, et al. Demand Side Management for Wind Power Integration in Microgrid Using Dynamic Potential Game Theory. IEEE GLOBECOM Workshop on Smart Grid Communications and Networks. Houston, TX, USA, 2011. Download: WuAHHua1112.pdf (1.95 MB)






story | by Dr. Radut