Yifei Wang, Xiuli Wang, Yi Kuang, 等. Network-Constrained Energy Consumption Game for Dynamic Pricing Markets[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(2):548-558.
Yifei Wang, Xiuli Wang, Yi Kuang, et al. Network-Constrained Energy Consumption Game for Dynamic Pricing Markets[J]. CSEE Journal of Power and Energy Systems, 2022, 8(2): 548-558.
Yifei Wang, Xiuli Wang, Yi Kuang, 等. Network-Constrained Energy Consumption Game for Dynamic Pricing Markets[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(2):548-558.DOI: 10.17775/CSEEJPES.2020.03310.
Yifei Wang, Xiuli Wang, Yi Kuang, et al. Network-Constrained Energy Consumption Game for Dynamic Pricing Markets[J]. CSEE Journal of Power and Energy Systems, 2022, 8(2): 548-558.DOI: 10.17775/CSEEJPES.2020.03310.
Network-Constrained Energy Consumption Game for Dynamic Pricing Markets
The electricity distribution network is experiencing a profound transformation with the concept of the smart grid
providing possibilities for selfish consumers to interact with the distribution system operator (DSO) and to maximize their individual energy consumption utilities. However
this profit-seeking behavior among consumers may violate the network constraints
such as line flows
transformer capacity and bus voltage magnitude limits. Therefore
a network-constrained energy consumption (NCEC) game among active load aggregators (ALAs) is proposed to guarantee the safety of the distribution network. The temporal and spatial constraints of an ALA are both considered
which leads the formulated model to a generalized Nash equilibrium problem (GNEP). By resorting to a well-developed variational inequality (VI) theory
we study the existence of solutions to the NCEC game problem. Subsequently
a two-level distributed algorithm is proposed to find the variational equilibrium (VE)
a fair and stable solution to the formulated game model. Finally
the effectiveness of the proposed game model and the efficiency of the distributed algorithm are tested on an IEEE-33 bus system.