Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 5, Issue 3, Pages 1340-1350Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2013.2287494
Keywords
Dual decomposition; energy consumption scheduling; game theory
Categories
Funding
- Natural Science Foundation of China [61290325-02]
- International collaboration project of Zhejiang Province [2013C24008]
- Specialized Research Fund for the Doctoral Program of China [20120101110139]
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This paper investigates the residential energy consumption scheduling problem, which is formulated as a coupled-constraint game by taking the interaction among users and the temporally-coupled constraint into consideration. The proposed solution consists of two parts. Firstly, dual decomposition is applied to transform the original coupled-constraint game into a decoupled one. Then, Nash equilibrium of the decoupled game is proven to be achievable via best response, which is computed by gradient projection. The proposed solution is also extended to an online version, which is able to alleviate the impact of the price prediction error. Numerical results demonstrate that the proposed approach can effectively shift the peak-hour demand to off-peak hours, enhance the welfare of each user, and minimize the peak-to-average ratio. The scalability of the approach and the impact of the user number are also investigated.
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