Abstract
In this paper, we investigate the Demand Response (DR) framework for future smart grid. In this framework, we consider that an energy-supplier, which is equipped with a limited storage capacity and incurred extra energy storage cost, aims at controlling both the Peak-to-Average Ratio (PAR) and Average-to-Valley Ratio (AVR) of all Energy-Users' (EUs') consumption profile. Facing the specialized chagrining function from energy-supplier, the EUs adapt their energy consumptions over time wisely and collaborate to maximize their social welfare. We propose an efficient two-sided algorithm, including both the EU-side and the Supplier-side, to determine the optimal EUs' energy consumptions, energy-supplier's optimal energy-provisioning and its charging parameters. The numerical results show the effectiveness of our proposed algorithm and the performance of our DR framework.
Published Version
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