期刊
IEEE TRANSACTIONS ON SMART GRID
卷 7, 期 2, 页码 879-888出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2015.2413813
关键词
Demand-response (DR); optimization; real-time prices (RTPs); smart grid; Stackelberg game
资金
- Gyeonggi Regional Research Center (GRRC) program of Gyeonggi Province [GRRC Hanyang 2014-B01]
- National Research Foundation of Korea (NRF) [NRF-2012K1A3A1A20031289, 22A20130012806]
- BK21 Plus Program (Future-oriented Innovative Brain Raising Type)
- National Research Foundation of Korea [2012K1A3A1A20031289] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
This paper proposes a real-time price (RTP)-based demand-response (DR) algorithm for achieving optimal load control of devices in a facility by forming a virtual electricity-trading process, where the energy management center of the facility is the virtual retailer (leader) offering virtual retail prices, from which devices (followers) are supposed to purchase energy. A one-leader, N-follower Stackelberg game is formulated to capture the interactions between them, and optimization problems are formed for each player to help in selecting the optimal strategy. The existence of a unique Stackelberg equilibrium that provides optimal energy demands for each device was demonstrated. The simulation analysis showed that the Stackelberg game-based DR algorithm is effective for achieving the optimal load control of devices in response to RTP changes with a trivial computation burden.
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