DOUBLE-LAYER GAME DISPATCH OF DISTRIBUTION NETWORK CONSIDERING GENERATION RIGHTS TRANSACTION AND BASELINE-BASED DEMAND RESPONSE

Luo Chen; He Ye; Zhang Zheng; Wu Hongbin; Yin Yuanya; Pan Wenhu

doi:10.19912/j.0254-0096.tynxb.2023-1837

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

DOUBLE-LAYER GAME DISPATCH OF DISTRIBUTION NETWORK CONSIDERING GENERATION RIGHTS TRANSACTION AND BASELINE-BASED DEMAND RESPONSE

更新时间：2025-10-18

- DOUBLE-LAYER GAME DISPATCH OF DISTRIBUTION NETWORK CONSIDERING GENERATION RIGHTS TRANSACTION AND BASELINE-BASED DEMAND RESPONSE
- Vol. 46, Issue 3, Pages: 160-166(2025)
- 作者机构：
  
  1. 新能源利用与节能安徽省重点实验室（合肥工业大学）,合肥 230009
  2. 国网安徽省电力有限公司电力科学研究院,合肥 230601
  3. 国网安徽省电力有限公司芜湖供电公司,芜湖 241000
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2023-1837
  CLC： TM734
- Published Online：07 April 2025，
  
  Published：2025
- 稿件说明：
移动端阅览
骆晨, 何叶, 章正, 吴红斌, 尹元亚, 潘文虎. 计及发电权交易与准线型需求响应的配电网双层博弈调度[J]. 太阳能学报, 2025, 46(3): 160-166.

Luo Chen, He Ye, Zhang Zheng, et al. DOUBLE-LAYER GAME DISPATCH OF DISTRIBUTION NETWORK CONSIDERING GENERATION RIGHTS TRANSACTION AND BASELINE-BASED DEMAND RESPONSE[J]. 2025, 46(3): 160-166.
骆晨, 何叶, 章正, 吴红斌, 尹元亚, 潘文虎. 计及发电权交易与准线型需求响应的配电网双层博弈调度[J]. 太阳能学报, 2025, 46(3): 160-166. DOI： 10.19912/j.0254-0096.tynxb.2023-1837.

Luo Chen, He Ye, Zhang Zheng, et al. DOUBLE-LAYER GAME DISPATCH OF DISTRIBUTION NETWORK CONSIDERING GENERATION RIGHTS TRANSACTION AND BASELINE-BASED DEMAND RESPONSE[J]. 2025, 46(3): 160-166. DOI： 10.19912/j.0254-0096.tynxb.2023-1837.

摘要

为兼顾源荷利益主体需求

计及发电权交易与准线型需求响应

设计配电网双层博弈论模型并提出两种收益分配策略。构建售电商与用户之间的双层博弈框架

火电售电商与光伏售电商通过发电权交易形成合作博弈

售电商与用户通过准线型需求响应形成主从博弈;考虑交易贡献率和对可再生能源的边际影响

采用两种不同的策略应对售电侧与用户的收益分配问题;利用遗传算法结合商业优化软件CPLEX求解博弈模型。通过算例系统进行验证

仿真结果表明所提模型和策略可进一步提升新能源消纳能力。

Abstract

To simultaneously consider the needs of the stakeholders of the source and load interests

this paper takes into account electricity trading and Baseline-based demand response for the distribution network. It designs a two-layer game theory model and proposes two revenue allocation strategies. A two-layer game framework is constructed between electricity retailers and consumers

in which the thermal power retailers and the photovoltaic power retailers engage in cooperative games through electricity trading

and the retailers and the consumers engage in stackelberg game through baseline-based demand response. Considering the transaction contribution rate and the marginal impact on renewable energy

two different strategies are adopted to address the revenue allocation problem between electricity retailers and consumers. The game model is solved using a combination of genetic algorithms and the commercial optimization software CPLEX. Through the validation of an example system

the simulation results show that the proposed model and strategies can further enhance the integration of renewable energy.

关键词

Keywords

references

王成山, 王瑞, 于浩, 等. 配电网形态演变下的协调规划问题与挑战[J]. 中国电机工程学报, 2020, 40(8): 2385-2396.

LUO F J, DONG Z Y, LIANG G Q, et al.A distributed electricity trading system in active distribution networks based on multi-agent coalition and blockchain[J]. IEEE transactions on power systems, 2019, 34(5): 4097-4108.

王佳惠, 牛玉广, 陈玥, 等. 计及火电深度调峰的高比例可再生能源电力系统日前优化调度研究[J]. 太阳能学报, 2023, 44(1): 493-499.

MAHARJAN S, ZHU Q Y, ZHANG Y, 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.

王芸芸, 马志程, 周强, 等. 兼顾公平性的多能源合作博弈优化调度[J]. 太阳能学报, 2022, 43(10): 482-492.

范添圆, 王海云, 王维庆, 等. 计及主/被动需求响应下基于合作博弈的微网-配电网协调优化调度[J]. 电网技术, 2022, 46(2): 453-463.

祝荣, 任永峰, 孟庆天, 等. 基于合作博弈的综合能源系统电-热-气协同优化运行策略[J]. 太阳能学报, 2022, 43(4): 20-29.

张晨, 韩新阳, 白翠粉, 等. 基于合作博弈的电力市场模式下售电商购电策略模型[J]. 中国电力, 2017, 50(6): 177-184.

帅轩越, 王秀丽, 吴雄, 等. 计及条件风险价值下基于合作博弈的多微网协同优化调度[J]. 电网技术, 2022, 46(1): 130-138.

刘文霞, 姚齐, 王月汉, 等. 基于阶梯型需求响应机制的供需主从博弈电源规划模型[J]. 电力系统自动化, 2022, 46(20): 54-63.

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): 2830-2842.

范帅, 危怡涵, 何光宇, 等. 面向新型电力系统的需求响应机制探讨[J]. 电力系统自动化, 2022, 46(7): 1-12.

徐博强, 张沛超, 何光宇, 等. 基于主从博弈的热水器集群的负荷准线控制方法[J]. 中国电机工程学报, 2022, 42(21): 7785-7797.

秦博宇, 周星月, 丁涛, 等. 全球碳市场发展现状综述及中国碳市场建设展望[J]. 电力系统自动化, 2022, 46(21): 186-199.

杨冬锋, 徐扬, 姜超. 考虑多类型需求响应的电-热联合系统多时间尺度协调调度[J]. 太阳能学报, 2021, 42(10): 282-289.

FAN S, LI Z S, LI Z Y, et al.Evaluating and increasing the renewable energy share of customers’ electricity consumption[J]. IEEE access, 2019, 7: 129200-129214.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC

GAME THEORY-BASED OPTIMAL RECONFIGURATION FOR DISTRIBUTION NETWORK SYSTEM WITH HYDROGEN ENERGY

TECHNO-ECONOMIC OPTIMIZATION OF WIND/PHOTOVOLTAIC/STORAGE INDEPENDENT MICROGRID CONSIDERING DEMAND RESPONSE

BI-LEVEL OPTIMISATION OF VIRTUAL POWER PLANT CONSIDERING SOURCE-LOAD COORDINATED RESPONSE AND DYNAMIC PRICING

Related Author

赵书强

宋金历

王傲儿

李志伟

Zhou Bo

Li Erchao

Hao Wenbin

Zeng Peng

Related Institution

The College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

State Grid Chengdu Power Supply Company

State Gird Tongling Power Supply Company

School of Electrical Engineering and Automation, Hefei University of Technology

School of Electrical Engineering, Xinjiang University, Urumuqi

AI问答

⁰