TY - JOUR
T1 - Stackelberg Equilibrium-based Energy Management Strategy for Regional Integrated Electricity-hydrogen Market
AU - Wang, Qinghan
AU - Wang, Yanbo
AU - Chen, Zhe
PY - 2023
Y1 - 2023
N2 - This paper develops an optimal energy bidding mechanism for the regional integrated electricity–hydrogen system (RIEHS) considering complex electricity–hydrogen energy flow and further presents an electricity–hydrogen optimization management strategy based on Stackelberg game. The transaction mode of the RIEHS is first introduced, and the optimization models for the three market game participants are established. Then, the Stackelberg game-based bidding mechanism is formulated, where the electricity–hydrogen operator (EHO) is the leader and the regional electricity–hydrogen prosumer (REHP) and load aggregator (LA) are the followers. The EHO dominates the game through energy bidding, and REHP and LA respond to the bidding decision. The Stackelberg equilibrium of the formulation is obtained by applying the differential evolutionary algorithm combined with quadratic programming (DEA-QP). Finally, a demonstration case is studied to analyze the market behavior of the three market players and further validate the effectiveness of the proposed strategy. The proposed strategy is able to produce additional economic benefits to REHP and LA and improve the utilization of hydrogen.
AB - This paper develops an optimal energy bidding mechanism for the regional integrated electricity–hydrogen system (RIEHS) considering complex electricity–hydrogen energy flow and further presents an electricity–hydrogen optimization management strategy based on Stackelberg game. The transaction mode of the RIEHS is first introduced, and the optimization models for the three market game participants are established. Then, the Stackelberg game-based bidding mechanism is formulated, where the electricity–hydrogen operator (EHO) is the leader and the regional electricity–hydrogen prosumer (REHP) and load aggregator (LA) are the followers. The EHO dominates the game through energy bidding, and REHP and LA respond to the bidding decision. The Stackelberg equilibrium of the formulation is obtained by applying the differential evolutionary algorithm combined with quadratic programming (DEA-QP). Finally, a demonstration case is studied to analyze the market behavior of the three market players and further validate the effectiveness of the proposed strategy. The proposed strategy is able to produce additional economic benefits to REHP and LA and improve the utilization of hydrogen.
KW - Bidding strategy
KW - Electricity-hydrogen management
KW - Regional integrated electricity-hydrogen system
KW - Stackelberg Game
KW - Stackelberg equilibrium
UR - http://www.scopus.com/inward/record.url?scp=85165220911&partnerID=8YFLogxK
U2 - 10.3389/fenrg.2023.1169089
DO - 10.3389/fenrg.2023.1169089
M3 - Journal article
SN - 2296-598X
VL - 11
JO - Frontiers in Energy Research
JF - Frontiers in Energy Research
M1 - 1169089
ER -