Stochastic Pricing Game for Aggregated Demand Response Considering Comfort Level

Conference · Mon Nov 01 04:00:00 EDT 2021

DOI:https://doi.org/10.1109/NAPS52732.2021.9654659· OSTI ID:1840204

Chen, Yang ^[1]; Amasyali, Kadir ^[1]; Park, Byungkwon ^[1]; Olama, Mohammed M. ^[1]; Telsang, Bhagyashri ^[2]; Djouadi, Seddik ^[2]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

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.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1840204
• Country of Publication: United States
• Language: English