Tingyu Jiang, Ping Ju, C. Y. Chung, 等. Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):929-941.
Tingyu Jiang, Ping Ju, C. Y. Chung, et al. Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 929-941.
Tingyu Jiang, Ping Ju, C. Y. Chung, 等. Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):929-941.DOI: 10.17775/CSEEJPES.2021.04140.
Tingyu Jiang, Ping Ju, C. Y. Chung, et al. Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 929-941.DOI: 10.17775/CSEEJPES.2021.04140.
Hierarchical Control Strategy for Load Regulation Based on Stackelberg Game Theory Considering Randomness
Demand response has been recognized as a valuable functionality of power systems for mitigating power imbalances. This paper proposes a hierarchical control strategy among the distribution system operator (DSO)
load aggregators (LAs)
and thermostatically controlled loads (TCLs); the strategy includes a scheduling layer and an executive layer to provide load regulation. In the scheduling layer
the DSO (leader) offers compensation price (CP) strategies
and the LAs (followers) respond to CP strategies with available regulation power (ARP) strategies. Profits of the DSO and LAs are modeled according to their behaviors during the load regulation process. Stackelberg game is adopted to capture interactions among the players and leader and to obtain the optimal strategy for each participant to achieve utility. Moreover
considering inevitable random factors in practice
e.g.
renewable generation and behavior of users
two different stochastic models based on sample average approximation (SAA) and parameter modification are formulated with improved scheduling accuracy. In the executive layer
distributed TCLs are triggered based on strategies determined in the scheduling layer. A self-triggering method that does not violate user privacy is presented
where TCLs receive external signals from the LA and independently determine whether to alter their operation statuses. Numerical simulations are performed on the modified IEEE-24 bus system to verify effectiveness of the proposed strategy.
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相关作者
Zitong Zhang
Jing Shi
Wangwang Yang
Zhaofang Song
Zexu Chen
Dengquan Lin
Yangxin Qiu
Qing Zhong
相关机构
State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electronic Engineering, Huazhong University of Science and Technology
School of Electric Power, South China University of Technology
School of Electrical and Computer Engineering, The University of Sydney
School of Electrical Engineering, Shandong University
Department of Management and Innovation Systems, University of Salerno, Fisciano