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1.国网电力科学研究院有限公司(南瑞集团有限公司),江苏省南京市 211106
2.南京邮电大学自动化学院、人工智能学院,江苏省南京市 210023
薛禹胜(1941—),男,通信作者,中国工程院院士,博士生导师,主要研究方向:电力系统自动化。E-mail:xueyusheng@sgepri.sgcc.com.cn
吴巨爱(1989—),男,博士,讲师,主要研究方向:电力市场仿真与分析、电力需求侧管理、用户行为的建模与仿真。E-mail:wujuai@njupt.edu.cn
谢东亮(1980—),男,博士,高级工程师,主要研究方向:电力系统可靠性及仿真。E-mail:xiedongliang@sgepri.sgcc.com.cn
收稿:2022-08-15,
修回:2022-10-29,
网络出版:2023-07-19,
纸质出版:2023-08-25
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薛禹胜,吴巨爱,谢东亮等.关于在决策推演中计入博弈行为的评述[J].电力系统自动化,2023,47(16):1-9.
XUE Yusheng,WU Juai,XIE Dongliang,et al.Review on Considering Gaming Behaviors in Decision-making Simulation Deduction[J].Automation of Electric Power Systems,2023,47(16):1-9.
薛禹胜,吴巨爱,谢东亮等.关于在决策推演中计入博弈行为的评述[J].电力系统自动化,2023,47(16):1-9. DOI: 10.7500/AEPS20220815001.
XUE Yusheng,WU Juai,XIE Dongliang,et al.Review on Considering Gaming Behaviors in Decision-making Simulation Deduction[J].Automation of Electric Power Systems,2023,47(16):1-9. DOI: 10.7500/AEPS20220815001.
有别于信息物理系统(CPS),信息物理社会系统(CPSS)必须考虑参与者理性及非理性行为的影响。单独应用理论分析、模型仿真、实验经济学或数据驱动方法,都难以支撑CPSS的研究。混合仿真方法整合上述研究范式的长处,融合统计分析、因果分析与行为分析,可有效地支撑CPSS的研究。为此,除了CPS研究中涉及的数学模型外,还必须构建多代理模型来反映理性行为的高维不确定性。在反复仿真的过程中就只需要少数参与者来反映非理性行为的影响,大大降低了对合格参与者规模的需求。文中结合电动汽车用户的购置意愿、出行意愿、碳市场交易决策行为方面的研究案例,揭示了混合仿真方法的实践可行性。
Different from the cyber-physical system (CPS)
the cyber-physical-social system (CPSS) must consider the influence of rational and irrational behaviors of participants. It is difficult to support the research on CPSS by using theoretical analysis
model simulation
experimental economics or data-driven method separately. The hybrid simulation method gathers the advantages of the above research paradigms and integrates statistical analysis
causal analysis and behavior analysis
which can effectively support the research on CPSS. To this end
in addition to the mathematical models involved in the research on CPS
a multi-agent model must be constructed to reflect the high-dimensional uncertainty of rational behaviors. As a result
only a few human participants are needed to reflect the impact of irrational behaviors in the process of repeated simulations
which greatly reduces the demand for the scale of qualified participants. Finally
the practical feasibility of hybrid simulation method is revealed combined with the case studies of the electric vehicle users’ purchase willingness
travel willingness and decision-making behavior of carbon market transactions.
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