Market trading mechanism for integrated energy systems based on user of demand response

张 炜; 杨 芸

doi:10.3969/j.issn.1009-1831.2022.02.012

您当前的位置：

首页 >

文章列表页 >

Market trading mechanism for integrated energy systems based on user of demand response

更新时间：2026-03-05

- Market trading mechanism for integrated energy systems based on user of demand response
- Vol. 24, Issue 2, (2022)
- 作者机构：
  
  1. 国网陕西省电力有限公司调控中心,西安,710048
  2. 国网陕西省电力有限公司超高压公司,西安,710075
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2022.02.012
  CLC：
- Published：2022
- 稿件说明：
移动端阅览
张炜, 杨芸. Market trading mechanism for integrated energy systems based on user of demand response[J]. 2022, 24(2).
DOI：

张炜, 杨芸. Market trading mechanism for integrated energy systems based on user of demand response[J]. 2022, 24(2). DOI： 10.3969/j.issn.1009-1831.2022.02.012.

摘要

针对多能源协同规划、共同运行的能源系统发展趋势，提出了一种含有电能、热能和氢能的综合能源市场交易机制，以促进综合能源系统的发展。市场参与者为拥有可以供给多类型能源的能源转化设备的综合能源服务商和具有灵活需求响应能力的用户。为解决市场参与方和参与者之间相互竞争博弈问题，建立了上层为综合能源服务商之间的对能源销售价格竞争的非合作博弈，下层为多用户之间的演化博弈的双层博弈模型。同时，根据综合能源服务商与用户间的交易次序，构建了二者之间的Stackelberg 主从博弈模型。通过算例分析验证了该综合能源交易机制不仅可以使市场交易在多能源之间得到耦合，提高能源使用效率，还可以促进用户负荷的灵活响应，降低负荷峰值，提升用户效益。

Abstract

Aiming at the development trend of multi - energy cooperative planning and co-operation of energy systems

a comprehensive energy market trading mechanism including electric energy

thermal energy and hydrogen energy is proposed. Market participants are integrated energy service providers with energy conversion equipment that can supply multiple types of energy and users with flexible demand response capabilities. Based on the market game relationship between integrated energy service providers and users

a Stackelberg game model between them is established. Besides

an upper model of the non-cooperative game of the integrated-energy service providers is established

and the lower model of the evolutionary game between users is established. According to the characteristics of the model

a distributed algorithm for finding the equilibrium solution of the model is proposed. Calculations show that the integrated energy trading mechanism can not only improve energy efficiency

but also promote the flexible response of userload

reduce peak load and enhance user efficiency。

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on the participation degree of smart power consumption based on evolutionary game theory

Research on distributionally robust optimization based group tuning control strategy for distributed photovoltaic system under solar load gap

Optimal scheduling of virtual power plant based on energy storage and conditional value at risk

Intelligent building demand response optimization strategy for flexible load and carbon trading mechanism

Research on multi state interaction capability of central air conditioning system based on data driven approach

Related Author

朱振宇

高丙团

田闽哲

李俊楠

何心铭

郭露方

马茗婕

黄梦旗

Related Institution

东南大学电气工程学院

国网河南省电力公司营销服务中心

国网江苏省电力有限公司电力科学研究院

国网江苏省电力有限公司盐城供电公司

需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）

AI问答

⁰