Robust Solution Approach for Bilevel Demand Response Game at Distribution Level

Conference · Sat Oct 01 04:00:00 EDT 2022

DOI:https://doi.org/10.1109/PESGM48719.2022.9916764· OSTI ID:1897004

Chen, Yang ^[1]; Amasyali, Kadir ^[1]; Olama, Mohammed M. ^[1]; Park, Byungkwon ^[1]

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1. ORNL

In this paper, a bilevel electricity pricing and demand response game between a distribution system operator (DSO) and load aggregators (LAs) is considered, and a robust decision model is proposed for the DSO to deal with the uncertainties from the wholesale market prices and demand consumptions of LAs. With the max-min objective at the upper level, the robust bilevel model is converted into a single level model by the Karush-Kuhn-Tucker (KKT) conditions and prime-dual transformation. Several groups of experiments have been conducted based on different preferences on uncertainty gaps and peak load reductions to show its effectiveness. After-the-fact scenario analysis has indicated that the robust solution is more beneficial in reducing the risk of inaccurate predictions as compared to the risk neutral strategy.

• 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: 1897004
• Country of Publication: United States
• Language: English