Design of Electricity Price Package Based on Dual Game Theory and User Choice Behavior

XIAO Bai; YANG Ning; SUN Lingwen; WANG Ling; SUN Heyang

doi:10.3969/j.issn.1008-0198.2026.01.020

您当前的位置：

首页 >

文章列表页 >

Design of Electricity Price Package Based on Dual Game Theory and User Choice Behavior

更新时间：2026-03-11

- Design of Electricity Price Package Based on Dual Game Theory and User Choice Behavior
- Vol. 46, Issue 1, Pages: 150-156(2026)
- 作者机构：
  
  1. 东北电力大学电气工程学院,吉林,吉林,132012
  2. 国网内蒙古东部电力有限公司赤峰供电公司,内蒙古,赤峰,024000
  3. 国网吉林省电力有限公司榆树市供电公司,吉林榆树,130400
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1008-0198.2026.01.020
  CLC： F426
- Online First：10 March 2026，
  
  Published：10 March 2026
- 稿件说明：
移动端阅览
肖白, 杨宁, 孙令文, 王玲, 孙赫阳. 基于双重博弈与用户选择行为的电价套餐设计[J]. 湖南电力, 2026, 46(1): 150-156.

XIAO Bai, YANG Ning, SUN Lingwen, et al. Design of Electricity Price Package Based on Dual Game Theory and User Choice Behavior[J]. 2026, 46(1): 150-156.
肖白, 杨宁, 孙令文, 王玲, 孙赫阳. 基于双重博弈与用户选择行为的电价套餐设计[J]. 湖南电力, 2026, 46(1): 150-156. DOI： 10.3969/j.issn.1008-0198.2026.01.020.

XIAO Bai, YANG Ning, SUN Lingwen, et al. Design of Electricity Price Package Based on Dual Game Theory and User Choice Behavior[J]. 2026, 46(1): 150-156. DOI： 10.3969/j.issn.1008-0198.2026.01.020.

摘要

为提高电力用户与电网互动积极性

满足不同用户的电力需求

提出一种基于双重博弈与用户选择行为的电价套餐设计方法。首先建立电价套餐设计的双重博弈理论框架

该框架涵盖两个层面的博弈：一是售电公司间的非合作博弈

二是售电公司与电力用户间的主从博弈。然后构建电力市场参与者的电价套餐决策模型。最后通过迭代循环嵌套求解所设计的电价套餐模型。算例结果表明

所提电价套餐设计方法能够兼顾售电公司与电力用户的利益

有助于降低售电公司的购售电价格

提高电力用户满意度

实现售用双方共赢。

Abstract

In order to enhance the interaction between enthusiasm electricity users and the power grid

and meet the electricity needs of different users

a pricing package design method based on dual game theory and user choice behavior is proposed. Firstly

a dual game theory framework for designing electricity pricing packages is established

which covers two levels of games: one is non cooperative games between power sales companies

and the other is master-slave games between power sales companies and electricity users. Then

a pricing package decision model for participants in the power market is constructed. Finally

the designed electricity price package model is solved through iterative loop nesting. The results of the calculation examples show that the electricity price package design method proposed in this paper can take into account the interests of both power sales companies and power users

which is conducive to reducing the purchase and sale prices of power for power sales companies

improving the satisfaction of power users

and achieving a win-win situation for both the sellers and users.

关键词

Keywords

references

王天航,王艺博,尹立敏,等. 两级电力市场环境下考虑条件风险价值的新能源场站最优售电模型[J]. 电力自动化设备,2023,43(5):113-120.

王雪林,钟海旺.新型电力系统背景下抽水蓄能和新型储能协同发展研究[J]. 全球能源互联网,2024,7(4):363-371.

汤奕,易俊,薛峰.“双碳”目标下的新型电力系统规划与运行[J].全球能源互联网,2024,7(3):241-242.

张智,王韵楚,林振智,等. 基于套餐隐式评分与用户画像的电力套餐推荐方法[J]. 电力系统自动化,2023,47(4):91-101.

LUO F J,RANZI G,WANG X B,et al.Social information filtering-based electricity retail plan recommender system for smart grid end users[J]. IEEE Transactions on Smart Grid,2019,10(1):95-104.

YANG J J,ZHAO J H,WEN F S,et al.A model of customizing electricity retail prices based on load profile clustering analysis[J]. IEEE Transactions on Smart Grid,2019,10(3):3374-3386.

骆钊,张涛,高泽勇,等. 基于用户特征聚类的综合能源套餐推荐方法[J]. 电力需求侧管理,2023,25(6):76-81.

马愿谦,李启源,陈汉忠,等. 基于BLAP聚类和多粒度犹豫模糊集的售电套餐推荐方法[J]. 电力系统自动化,2023,47(1):96-104.

CHARWAND M,GITIZADEH M.Risk-based procurement strategy for electricity retailers:different scenario-based methods[J]. IEEE Transactions on Engineering Management,2020, 67(1):141-151.

董海艳,陈杰,贾清泉,等. 考虑敏感用户需求的电能质量分级与购售电策略[J]. 电力自动化设备,2022,42(2):201-209.

孙毅,顾玮,李彬,等. 面向售电侧改革的用户分层聚类与套餐推荐方法[J]. 电网技术,2018,42(2):447-454.

詹祥澎,杨军,王昕妍,等. 考虑实时市场联动的电力零售商鲁棒定价策略[J]. 电网技术,2022,46(6):2141-2153.

董立志,刘皓明,周辉,等. 基于Stackelberg博弈的售电侧放开环境下电能质量定价方法[J]. 电力需求侧管理,2020,22(2):28-33.

刘连光,潘明明,田世明,等. 考虑源网荷多元主体的售电竞争非合作博弈方法[J]. 中国电机工程学报,2017,37(6):1618-1626.

田海青,郭金辉,周瑜,等. 基于合作博弈模型的新能源参与电力交易的调控策略[J]. 现代电力,2022,39(6):640-648.

向悦萍,杨健维,臧天磊,等. 计及电能质量的电力市场多主体博弈模型[J]. 电网技术,2020,44(9):3383-3394.

赵琛,张少华. 考虑用户切换行为的电力零售市场博弈模型[J]. 电力自动化设备,2020,40(2):162-170.

潘虹锦,高红均,杨艳红,等. 基于主从博弈的售电商多元零售套餐设计与多级市场购电策略[J]. 中国电机工程学报,2022,42(13):4785-4799.

林国营,卢世祥,郭昆健,等.基于主从博弈的电网公司需求响应补贴定价机制[J].电力系统自动化,2020,44(10):59-67.

范峻伟,朱继忠,史普鑫,等. 一种基于合作博弈的深度调峰补偿策略[J]. 全球能源互联网,2022,5(5):419-428.

许文哲,方八零,张淇菲,等. 基于阶段分时电价响应的电动汽车充电负荷优化策略[J]. 湖南电力,2024,44(1):94-100.

张岭乔,周正成,沈莎莎,等. 考虑调节成本的负荷聚合商策略性报价及其尖峰市场出清优化[J]. 湖南电力,2023,43(4):4-31.

朱玥荣,张楠,肖云鹏,等. 基于卖方灵活合同的绿电与绿证中长期联合交易机制及其均衡分析[J]. 全球能源互联网,2023,6(4):398-405.

李姚旺,张宁,杜尔顺,等. 基于碳排放流的电力系统低碳需求响应机制研究及效益分析[J]. 中国电机工程学报,2022,42(8):2830-2841.

李鹏,吴迪凡,李雨薇,等. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报,2021,41(4):1307-1321.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Two-layers Scheduling Strategy of Power System Con‍sid‍erring Demand Response and Green Certificate‍-Carbon Emission Trading Linkage Mechanism

Research on Source-Grid-Load-Storage Coordinated Planning Model of Rural Integrated Energy System Considering Demand Response

Research on Real-time Demand Response Strategy Considering Renewable Energy Uncertainty

Integrated Energy Management Approach for Photovoltaic Power Station-Thermal Unit-Aluminum Electrolysis Plant Islanded Microgrids for Multi-Time Scale

Related Author

吴磊

刘正阳

宣文举

冯浩然

张嘉蕾

LI Dawei

DENG Kai

LIU Haotian

Related Institution

山西大学电力与建筑学院

State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute

Hunan Key Laboratory of Energy Internet Supply-Demand and Operation

State Grid Changsha Power Supply Company

State Grid Zhumadian Power Supply Company

AI问答

⁰