7th International Conference on Communications and Networking in China

Research Article

Optimal Exploitation of Renewable Energy for Residential Smart Grid with Supply-Demand Model

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417454,
        author={Yuan Wu and Vincent K.N. Lau and Danny H.K. Tsang and Liping Qian and Limin Meng},
        title={Optimal Exploitation of Renewable Energy for Residential Smart Grid with Supply-Demand Model},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={9},
        keywords={smart grid; renewable energy; optimization of demand-supply management; distributed algorithm},
        doi={10.1109/ChinaCom.2012.6417454}
    }
    
  • Yuan Wu
    Vincent K.N. Lau
    Danny H.K. Tsang
    Liping Qian
    Limin Meng
    Year: 2012
    Optimal Exploitation of Renewable Energy for Residential Smart Grid with Supply-Demand Model
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417454
Yuan Wu1,*, Vincent K.N. Lau2, Danny H.K. Tsang2, Liping Qian3, Limin Meng1
  • 1: College of Information Engineering, Zhejiang University of Technology
  • 2: Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology
  • 3: College of Computer Science and Technology, Zhejiang University of Technology
*Contact email: iewuy@zjut.edu.cn

Abstract

Future smart grid has been widely conceived to be featured by its flexible supply-demand management and great exploitation of renewable energy. However, due to the volatility of renewable sources, exploitation of renewable energy introduces uncertainty in energy supply. Therefore, it is of practical importance to quantify the optimal exploitation of renewable energy based on the supply-demand framework for future smart grid, where the energy-providers (or the energy-users) adaptively adjust their energy-provisioning (or energy-demands) according to the system information that takes account of the volatility of renewable energy. In this work we consider a residential smart grid equipped with a centralized renewable source as a supplement to the electricity acquired from the grid. Our model aims at (i) quantifying the optimal exploitation of renewable energy that trades off between the system-wide benefit from using the renewable energy and the associated cost due to its volatility, and (ii) characterizing how the volatility of renewable energy influences its optimal exploitation. An efficient distributed algorithm is proposed to determine the optimal utilization of renewable energy.