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Stochastic Pricing Game for Aggregated Demand Response Considering Comfort Level...

Publication Type
Conference Paper
Book Title
2021 North American Power Symposium (NAPS)
Publication Date
Page Numbers
1 to 6
Publisher Location
United States of America
Conference Name
The 53rd North American Power Symposium (NAPS 2021)
Conference Location
College Station, Texas, United States of America
Conference Sponsor
Electrical and Computer Engineering Department, Texas A&M University
Conference Date

In recent years, demand response (DR) has been explored as a fundamental strategy for demand-side management due to its advantages in mediating intermittency of renewable energy generation, load shifting, etc. To engage customers in DR programs, several deterministic price-based DR strategies have been developed and implemented. However, the stochastic weather conditions and occupants' consumption behaviors often make the deterministic solution less robust to uncertainties. In this paper, with the consideration of the uncertainties, a stochastic Stackelberg game is proposed to model the price-demand negotiation between a distributed system operator and load aggregators, where the virtual battery constraints are extracted from the building thermostatically controlled loads (TCLs)‘ characteristics to guarantee comfortable TCLs' levels. Following the negotiation, a priority-based control method is used to allocate the optimal aggregated power DR profile at the building level and track the power signal. Several groups of experiments have demonstrated the effectiveness and robustness of the stochastic solutions.