面向能源领域信息物理社会系统的行为仿真建模分析——以现货电力市场为例

柳文轩; 赵俊华; 黄杰; 文福拴; 吕哲; 薛禹胜

doi:10.7500/AEPS20190116002

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面向能源领域信息物理社会系统的行为仿真建模分析——以现货电力市场为例

信息能源系统 | 更新时间：2025-06-16

- 面向能源领域信息物理社会系统的行为仿真建模分析——以现货电力市场为例
- Simulation and Modelling Analysis on Behavior of Cyber Physical Social System in Energy： A Case in Electricity Spot Market
- 电力系统自动化-方正平台 2020年44卷第4期页码：8-15
- 作者机构：
  
  1. 香港中文大学（深圳），广东省深圳市 518100
  2. 南瑞集团有限公司（国网电力科学研究院有限公司），江苏省南京市 211106
  3. 浙江大学电气工程学院，浙江省杭州市 310027
- 作者简介：
  
  柳文轩（1991—），男，通信作者，博士研究生，主要研究方向：电力市场、产业经济学、博弈论、机器学习。E-mail：wenxuanliu@link.cuhk.edu.cn
  赵俊华（1980—），男，副教授，主要研究方向：电力系统分析与计算、智能电网、数据挖掘与人工智能、电力市场。E-mail：zhaojunhua@cuhk.edu.cn
  黄杰（1983—），男，博士，高级工程师，主要研究方向：碳排放及碳市场风险防控。E-mail：huangjie1@sgepri.sgcc.com.cn
- 基金信息：
  
  国家自然科学基金资助项目(91746118);深圳市科技创新委员会基础研究项目(JCYJ20170410172224515)
- DOI：10.7500/AEPS20190116002
  中图分类号：
- 收稿日期：2019-01-16，
  
  修回日期：2019-09-26，
  
  网络出版日期：2019-12-24，
  
  纸质出版日期：2020-02-25
- 稿件说明：
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柳文轩,赵俊华,黄杰等.面向能源领域信息物理社会系统的行为仿真建模分析——以现货电力市场为例[J].电力系统自动化,2020,44(04):8-15.

LIU Wenxuan,ZHAO Junhua,HUANG Jie,et al.Simulation and Modelling Analysis on Behavior of Cyber Physical Social System in Energy： A Case in Electricity Spot Market[J].Automation of Electric Power Systems,2020,44(04):8-15.
柳文轩,赵俊华,黄杰等.面向能源领域信息物理社会系统的行为仿真建模分析——以现货电力市场为例[J].电力系统自动化,2020,44(04):8-15. DOI： 10.7500/AEPS20190116002.

LIU Wenxuan,ZHAO Junhua,HUANG Jie,et al.Simulation and Modelling Analysis on Behavior of Cyber Physical Social System in Energy： A Case in Electricity Spot Market[J].Automation of Electric Power Systems,2020,44(04):8-15. DOI： 10.7500/AEPS20190116002.

摘要

信息物理社会系统（CPSS）旨在描述复杂网络系统中信息网络、物理系统和社会因素的特征及其交互影响，以实现对该类系统的建模、推理和决策。CPSS研究中，如何反映社会行为是最大难点之一。依据历史和仿真数据，采用生成对抗网络（GAN）模型对不确定的社会行为建模，并通过混合仿真方法推演了当前广东现货电力市场设计中的实际问题，即燃气机组补贴对市场的潜在影响。

Abstract

Cyber physical social system (CPSS) is applied to describe the characteristics and interactions of cyber space

physical systems and social agents in complex network systems

and it is designed to provide systematic modeling

inference and decision making. Human behavior modeling is a complex problem in CPSS. Based on the historical and simulated data

this paper employs the generated adversarial network (GAN) for uncertain social behavior modeling. Additionally

the hybrid simulation method is applied to derive the practical problem in the Guangdong electricity spot market of China

namely the potential impact of gas unit subsidies on the market.

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references

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