Coupon Incentive-Based Demand Response: Theory and Case Study

By Haiwang Zhong, Le Xie, Qing Xia. IEEE Transactions on Power Systems, 2013

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Incentive-based demand response for smart grid with reinforcement learning and deep neural network (2019, background): “The study described in [13] presented a coupon incentive-based DR for the load serving entities to promote its profit, CU surpluses and social welfare, through providing the retail CU incentives to induce demand reduction.”
Short-Term Spatio-Temporal Wind Power Forecast in Robust Look-ahead Power System Dispatch (2014, methodology): “The power system scheduling framework formulated in this paper is designed with two layers: 1) Day-ahead reliability unit commitment (RUC) [39], [40] and 2) robust look-ahead real-time (every 5 minutes) scheduling.”
Chance-Constrained Generic Energy Storage Operations Under Decision-Dependent Uncertainty (2022, background): “Such ﬂexibility may be leveraged and controlled via price-based [4] or incentive-based [5] mechanisms.”
Coupon-Based Demand Response Considering Wind Power Uncertainty: A Strategic Bidding Model for Load Serving Entities (2016, background): “Coupon based demand response (C-DR) attempts to induce the demand flexibility in retail customers (such as small/medium size commercial, industrial, and residential customers) on a voluntary basis [15].”
From demand response to transactive energy: state of the art (2017, background): “Recent pilots have shown that the inconvenience associated with the mandatory electricity interruption from DLC can lead to potential reluctance among consumers [17].”