Hierarchical Market Structure and Clearing Algorithm for Integrated Energy Trading of New-type Towns

Tianhui ZHAO; Jianxue WANG; Yang CHEN

doi:10.7500/AEPS20200316005

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Hierarchical Market Structure and Clearing Algorithm for Integrated Energy Trading of New-type Towns

Basic Research | 更新时间：2025-06-16

- Hierarchical Market Structure and Clearing Algorithm for Integrated Energy Trading of New-type Towns
- Automation of Electric Power Systems Vol. 45, Issue 4, Pages: 73-80(2021)
- 作者机构：
  
  陕西省智能电网重点实验室（西安交通大学电气工程学院），陕西省西安市 710049
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;State Grid Corporation of China
- DOI：10.7500/AEPS20200316005
  CLC：
- Received：16 March 2020，
  
  Revised：2020-10-12，
  
  Published Online：25 December 2020，
  
  Published：25 February 2021
- 稿件说明：
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赵天辉,王建学,陈洋.面向综合能源交易的新型城镇分层市场架构和出清算法[J].电力系统自动化,2021,45(4):73-80.

ZHAO Tianhui,WANG Jianxue,CHEN Yang.Hierarchical Market Structure and Clearing Algorithm for Integrated Energy Trading of New-type Towns[J].Automation of Electric Power Systems,2021,45(4):73-80.
赵天辉,王建学,陈洋.面向综合能源交易的新型城镇分层市场架构和出清算法[J].电力系统自动化,2021,45(4):73-80. DOI： 10.7500/AEPS20200316005.

ZHAO Tianhui,WANG Jianxue,CHEN Yang.Hierarchical Market Structure and Clearing Algorithm for Integrated Energy Trading of New-type Towns[J].Automation of Electric Power Systems,2021,45(4):73-80. DOI： 10.7500/AEPS20200316005.

摘要

随着中国城镇化水平的不断提高，分布式能源被认为是实现能源结构清洁化转型的重要途径，在中国城镇化进程中得到了迅猛的发展。文中从开展分布式能源市场化交易的角度出发，以就近消纳为原则，提出了分层市场架构，实现分散的局域交易与传统集中式批发交易的有效衔接，以提高分布式能源的市场化利用率和运营商收益。考虑到用户对能源形式需求的多样性，在对分层市场架构的研究过程中，将能源的交易类型从电能拓展为电能和天然气，构建综合能源交易模型。最后，基于嵌套对角化算法，提出了分层市场架构下的综合能源交易出清模拟算法。在算例中，分层市场架构下的分布式能源的市场化利用率达到了70%以上，在不考虑补贴的情况下，相比于分布式电能按照固定价格被收购，运营商的收益明显增加。在电能和天然气耦合交易的情形下，在电价较低的时刻，园区微能网运营商会参与天然气交易，进而提高收益。

Abstract

With the continuous improvement of China's urbanization level

the distributed energy is considered as an important way to realize the transition to clean energy structure

which has developed rapidly in the process of urbanization in China. From the perspective of developing market-oriented trading for distributed energy

this paper proposes a hierarchical market structure according to the principle of nearby consumption. It can coordinate trading between decentralized local markets and traditional centralized wholesale markets. Meanwhile

it can improve the market-oriented utilization rate of distributed energy and the revenue of operator. Considering the diversity of energy demand of users

in the research of the hierarchical market structure

the type of energy trading is expanded from electricity to electricity and natural gas

to build a comprehensive energy trading model. Finally

based on the nested diagonalization algorithm

a comprehensive energy trading clearing simulation algorithm in the hierarchical market structure is proposed. In the example

the market-oriented utilization rate of distributed energy in the hierarchical market structure exceeds 70%. Without considering government subsidies

compared with the procurement of the distributed energy at a fixed price

the operator's revenue obviously increases. In the case of coupled trading of electric energy and natural gas

when the electricity price is low

the micro-energy network operators in the park will participate in natural gas trading to increase revenue.

关键词

Keywords

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