A Two-Layer Game Optimization Operation Strategy for the Electric-Thermal-Hydrogen Integrated Energy System Considering Vehicle Owner Travel Behavior Adjustments

JIA Shiduo; KANG Xiaoning; TIAN Bowen; CUI Jinxu; XIAO Shuwen; LI Xinying

doi:10.7652/xjtuxb202404005

您当前的位置：

首页 >

文章列表页 >

A Two-Layer Game Optimization Operation Strategy for the Electric-Thermal-Hydrogen Integrated Energy System Considering Vehicle Owner Travel Behavior Adjustments

更新时间：2025-07-09

- A Two-Layer Game Optimization Operation Strategy for the Electric-Thermal-Hydrogen Integrated Energy System Considering Vehicle Owner Travel Behavior Adjustments
- Vol. 58, Issue 4, Pages: 54-63(2024)
- 作者机构：
  
  西安交通大学电气工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202404005
  CLC： TM73
- Online First：10 April 2024，
  
  Published：2024
- 稿件说明：
移动端阅览
JIA Shiduo, KANG Xiaoning, TIAN Bowen, et al. A Two-Layer Game Optimization Operation Strategy for the Electric-Thermal-Hydrogen Integrated Energy System Considering Vehicle Owner Travel Behavior Adjustments[J]. 2024, 58(4): 54-63.
DOI：

JIA Shiduo, KANG Xiaoning, TIAN Bowen, et al. A Two-Layer Game Optimization Operation Strategy for the Electric-Thermal-Hydrogen Integrated Energy System Considering Vehicle Owner Travel Behavior Adjustments[J]. 2024, 58(4): 54-63. DOI： 10.7652/xjtuxb202404005.

摘要

针对园区综合能源系统中各个主体的利益难以兼顾及新能源汽车出行计划临时变动会对系统运行带来不利影响的问题

提出了考虑车主出行行为调整的电热氢综合能源系统双层博弈优化运行策略。首先

建立以能源运营商(IESO)、负荷聚合商(ULA)和新能源汽车负荷聚合商(NEVLA)为主体的Stackelberg-Shapley双层博弈框架; 其次

将双层博弈框架嵌入两阶段模型预测控制滚动调度模型中

并在第1阶段引入惩罚博弈机制

抑制车主按照个人意愿无序改变充电计划的行为; 最后

联合沙丘猫优化算法与CPLEX求解器对博弈模型进行求解。仿真结果表明:所提策略与无惩罚博弈机制的滚动优化运行策略及考虑惩罚博弈机制的单断面优化运行策略对比

能源运营商的收益分别提高了4.43%、7.75%

负荷聚合商的剩余价值分别提高了6.48%、12.18%

电动汽车负荷调度成本分别减少了13.64%、4.43%

验证了所提策略具有更好的系统运行经济性。

Abstract

To address the challenge of balancing the interests of various stakeholders within the regional integrated energy system and mitigate the adverse effects of sudden changes in vehicle owners' travel plans on system operation

a two-layer game optimization operation strategy for the electric-thermal-hydrogen integrated energy system is proposed while considering adjustments in the travel plans of vehicle owners. Initially

a two-layer Stackelberg-Shapley game framework is established

with the integrated energy system operator(IESO)

user load aggregator(ULA)

and new energy vehicle load aggregator(NEVLA)serving as the main entities. Subsequently

the two-layer game framework is embedded into the two-stage model predictive control rolling scheduling model

and the penalty game mechanism is introduced in the first stage to discourage vehicle owners from arbitrarily changing their charging plans. Ultimately

the equilibrium solution of the game model is jointly solved using the sand cat swarm optimization algorithm and CPLEX. The simulation results show that compared with the rolling optimization operation strategy without a penalty game mechanism and the single-section optimization operation strategy considering the penalty game mechanism

the proposed strategy has increased the IESO income by 4.43% and 7.75%

increased the residual value of ULA by 6.48% and 12.18%

and reduced the EV load scheduling cost by 13.64% and 4.43% respectively. The verification demonstrates better economic performance of the proposed strategy in system operation.

关键词

Keywords

references

康重庆, 杜尔顺, 李姚旺, 等. 新型电力系统的“碳视角”:科学问题与研究框架 [J]. 电网技术, 2022, 46(3): 821-833.

KANG Zhongqing, DU Ershun, LI Yaowang, et al. Key scientific problems and research framework for carbon perspective research of new power systems [J]. Power System Technology, 2022, 46(3): 821-833.

刘迎澍, 陈曦, 李斌, 等. 多微网系统关键技术综述 [J]. 电网技术, 2020, 44(10): 3804-3820.

LIU Yingshu, CHEN Xi, LI Bin, et al. State of art of the key technologies of multiple microgrids system [J]. Power System Technology, 2020, 44(10): 3804-3820.

丁涛, 牟晨璐, 别朝红, 等. 能源互联网及其优化运行研究现状综述 [J]. 中国电机工程学报, 2018, 38(15): 4318-4328.

DING Tao, MU Chenlu, BIE Zhaohong, et al. Review of energy Internet and its operation [J]. Proceedings of the CSEE, 2018, 38(15): 4318-4328.

杨经纬, 张宁, 王毅, 等. 面向可再生能源消纳的多能源系统: 述评与展望 [J]. 电力系统自动化, 2018, 42(4): 11-24.

YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation: review and prospect [J]. Automation of Electric Power Systems, 2018, 42(4): 11-24.

李鹏, 吴迪凡, 李雨薇, 等. 基于谈判博弈的多微网综合能源系统多目标联合优化配置 [J]. 电网技术, 2020, 44(10): 3680-3690.

LI Peng, WU Difan, LI Yuwei, et al. Multi-objective union optimal configuration strategy for multi-microgrid integrated energy system considering bargaining games [J]. Power System Technology, 2020, 44(10): 3680-3690.

崔岩, 胡泽春, 段小宇. 考虑充电需求空间灵活性的电动汽车运行优化研究综述 [J]. 电网技术, 2022, 46(3): 981-994.

CUI Yan, HU Zechun, DUAN Xiaoyu. Review on the electric vehicles operation optimization considering the spatial flexibility of electric vehicles charging demands [J]. Power System Technology, 2022, 46(3): 981-994.

李珂, 邵成成, 王雅楠, 等. 考虑电-气-交通耦合的城市综合能源系统规划 [J]. 中国电机工程学报, 2023, 43(6): 2263-2272.

LI Ke, SHAO Chengcheng, WANG Yanan, et al. Optimal planning of urban integrated energy systems considering electricity-gas-transportation interactions [J]. Proceedings of the CSEE, 2023, 43(6): 2263-2272.

CHENG Shan, WEI Zhaobin, ZHAO Zikai. Decentralized scheduling optimization for charging-storage station considering multiple spatial-temporal transfer factors of electric vehicles [J]. International Journal of Energy Research, 2021, 45(5): 6800-6815.

李玲, 曹锦业, TOMIN N, 等. 计及电动汽车接入的区域综合能源系统双层日前协调优化调度 [J]. 电力建设, 2023, 44(5): 23-33.

LI Ling, CAO Jinye, TOMIN N, et al. Bi-level coordinated day-ahead optimal dispatch of regional integrated energy system considering the integrations of electric vehicles [J]. Electric Power Construction, 2023, 44(5): 23-33.

张程, 匡宇, 邹复民, 等. 考虑风光不确定性与电动汽车的综合能源系统低碳经济调度 [J]. 电力自动化设备, 2022, 42(10): 236-244.

ZHANG Cheng, KUANG Yu, ZOU Fumin, et al. Low carbon economic dispatch of integrated energy system considering wind and solar uncertainty and electric vehicles [J]. Electric Power Automation Equipment, 2022, 42(10): 236-244.

肖秋瑶, 杨騉, 宋政湘. 考虑碳交易和电动汽车充电负荷的工业园区综合能源系统调度策略 [J]. 高电压技术, 2023, 49(4): 1392-1401.

XIAO Qiuyao, YANG Kun, SONG Zhengxiang. Scheduling strategy of industrial parks integrated energy system considering carbon trading and electric vehicle charging load [J]. High Voltage Engineering, 2023, 49(4): 1392-1401.

王珂, 李媛, 杨文涛, 等. 计及路-网-车交互作用的电动汽车充电实时优化调度 [J]. 电力建设, 2018, 39(12): 63-72.

WANG Ke, LI Yuan, YANG Wentao, et al. Real-time optimal charging scheduling for electric vehicles considering interactions among traffic network, distribution system and electric vehicles [J]. Electric Power Construction, 2018, 39(12): 63-72.

张勇军, 周星月, 唐渊, 等. 双楼宇专变供电充电站负荷的时空双维调控建模 [J]. 电力自动化设备, 2023, 43(6): 37-45.

ZHANG Yongjun, ZHOU Xingyue, TANG Yuan, et al. Time-space two-dimensional regulation modeling of charging station load powered by bi-building special transformers [J]. Electric Power Automation Equipment, 2023, 43(6): 37-45.

齐志远, 李晓文, 张如意, 等. 基于动态回馈修正的独立微电网协调优化调度 [J]. 高电压技术, 2022, 48(3): 938-947.

QI Zhiyuan, LI Xiaowen, ZHANG Ruyi, et al. Coordinated optimal scheduling of stand-alone micro-grid based on dynamic feedback correction [J]. High Voltage Engineering, 2022, 48(3): 938-947.

肖浩, 裴玮, 孔力. 基于模型预测控制的微电网多时间尺度协调优化调度 [J]. 电力系统自动化, 2016, 40(18): 7-14.

XIAO Hao, PEI Wei, KONG Li. Multi-time scale coordinated optimal dispatch of microgrid based on model predictive control [J]. Automation of Electric Power Systems, 2016, 40(18): 7-14.

张彦, 张涛, 孟繁霖, 等. 基于模型预测控制的能源互联网系统分布式优化调度研究 [J]. 中国电机工程学报, 2017, 37(23): 6829-6845.

ZHANG Yan, ZHANG Tao, MENG Fanlin, et al. Model predictive control based distributed optimization and scheduling approach for the energy internet [J]. Proceedings of the CSEE, 2017, 37(23): 6829-6845.

帅轩越, 王秀丽, 原晟淇, 等. 电力市场环境下基于改进纳什议价方法的多微网能源交易机制设计 [J]. 西安交通大学学报, 2021, 55(11): 97-105.

SHUAI Xuanyue, WANG Xiuli, YUAN Shengqi, et al. Design of multi-microgrid energy trading mechanism based on improved Nash bargaining method in electricity market environment [J]. Journal of Xi'an Jiaotong University, 2021, 55(11): 97-105.

李咸善, 马凯琳, 程杉. 含多区域综合能源系统的主动配电网双层博弈优化调度策略 [J]. 电力系统保护与控制, 2022, 50(1): 8-22.

LI Xianshan, MA Kailin, CHENG Shan. Dispatching strategy of an active distribution network with multiple regional integrated energy systems based on two-level game optimization [J]. Power System Protection and Control, 2022, 50(1): 8-22.

帅轩越, 王秀丽, 王志成, 等. 计及风电消纳下基于纳什议价理论的多综合能源系统协同运行 [J]. 西安交通大学学报, 2022, 56(3): 187-196.

SHUAI Xuanyue, WANG Xiuli, WANG Zhicheng, et al. Cooperative operation for multiple integrated energy systems considering wind power consumption by Nash bargaining convention [J]. Journal of Xi'an Jiaotong University, 2022, 56(3): 187-196.

WEI Wei, LIU Feng, MEI Shengwei. Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty [J]. IEEE Transactions on Smart Grid, 2015, 6(3): 1364-1374.

PAUDEL A, CHAUDHARI K, LONG Chao, et al. Peer-to-peer energy trading in a prosumer-based community microgrid: a game-theoretic model [J]. IEEE Transactions on Industrial Electronics, 2019, 66(8): 6087-6097.

MAHARJAN S, ZHU Quanyan, ZHANG Yan, et al. Dependable demand response management in the smart grid: a stackelberg game approach [J]. IEEE Transactions on Smart Grid, 2013, 4(1): 120-132.

刘铠诚, 王关涛, 白星振, 等. 基于主从博弈的园区级综合能源系统动态定价与低碳经济调度 [J/OL]. 高电压技术: 1-14 [2023-08-23]. https: //doi.org/10.13336/j.1003-6520.hve.20230411.

LIU Kaicheng, WANG Guantao, BAI Xingzhen, et al. Dynamic pricing and low-carbon economic dispatch of integrated energy system based on Stackelberg game [J/OL]. High Voltage Engineering: 1-14 [2023-08-23]. https: //doi.org/10.13336/j.1003-6520.hve.20230411.

李畸勇, 赵新哲, 郑一飞, 等. 基于纳什谈判考虑能源共享的区域综合能源系统优化配置 [J]. 电力系统保护与控制, 2023, 51(5): 22-32.

LI Jiyong, ZHAO Xinzhe, ZHENG Yifei, et al. Optimal configuration of a regional integrated energy system considering energy sharing based on Nash negotiation [J]. Power System Protection and Control, 2023, 51(5): 22-32.

JIA Shiduo, KANG Xiaoning. Multi-objective optimal scheduling of CHP microgrid considering conditional value-at-risk [J]. Energies, 2022, 15(9): 3394.

贾士铎, 康小宁, 黑皓杰, 等. 基于V2G负荷反馈修正的电热氢综合能源系统多层协调优化调度 [J]. 电力系统自动化, 2023, 47(15): 100-110.

JIA Shiduo, KANG Xiaoning, HEI Haojie, et al. Multi-layer coordinated optimal dispatch of electric-thermal-hydrogen integrated energy system based on V2G load feedback correction [J]. Automation of Electric Power Systems, 2023, 47(15): 100-110.

SEYYEDABBASI A, KIANI F. Sand cat swarm optimization: a nature-inspired algorithm to solve global optimization problems [J]. Engineering with Computers, 2023, 39(4): 2627-2651.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Main Drive Motors of Modern New Energy Vehicles and Their Development Trend

An Online Control Method for Energy Recovery of Suspension Vibration of New Energy Vehicles

A Structure-Semantics-Residual Collaborative Image Compression Framework：Towards Privacy Protection and High-Fidelity Reconstruction

Electrothermal Coupling Research on the Evolutionary Law of Anti-Corona Performance for High-Altitude Air-Cooled Generators

Study on the Thermodynamic Properties in the Anomalous Region of Supercritical Water

Related Author

ZHAO Shengdun

CAO Yangfeng

MA Changxin

ZHANG Chuanwei

HUANG Xiaopeng

LI Xiangyang

郜浩楠 1

Related Institution

西安交通大学机械工程学院，710049，西安School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

金属成形技术与重型装备全国重点实验室，710049，西安State Key Laboratory of Metal Forming Technology and Heavy Equipment, Xi'an 710049, China

陕西交通职业技术学院，710018，西安Shaanxi Vocational and Technical College of Communications, Xi'an 710018, China

西安航空学院，710077，西安Xi'an Aeronautical University, Xi'an 710077, China

Shaanxi Key Laboratory of Intelligent Robots, Xi’an Jiaotong University

⁰