Review of the architecture design and strategy optimization method of multi-station integration under dual carbon target

张旭征; 周 峻; 马艺闻; 马万里; 张自航; 吴 锴

doi:10.3969/j.issn.1009-1831.2023.02.001

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Review of the architecture design and strategy optimization method of multi-station integration under dual carbon target

更新时间：2026-03-05

- Review of the architecture design and strategy optimization method of multi-station integration under dual carbon target
- Vol. 25, Issue 2, (2023)
- 作者机构：
  
  1. 西安交通大学电气工程学院,西安,710049
  2. 国网陕西省电力有限公司培训中心,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2023.02.001
  CLC：
- Published：2023
- 稿件说明：
移动端阅览
张旭征, 周峻, 马艺闻, et al. Review of the architecture design and strategy optimization method of multi-station integration under dual carbon target[J]. 2023, 25(2).
DOI：

张旭征, 周峻, 马艺闻, et al. Review of the architecture design and strategy optimization method of multi-station integration under dual carbon target[J]. 2023, 25(2). DOI： 10.3969/j.issn.1009-1831.2023.02.001.

摘要

为响应“碳达峰”和“碳中和”的战略目标，依托变电站丰富资源的多站融合项目成为电网企业拓展综合能源服务的重要着手点，因此对多站融合的架构设计、建模理论、策略优化方法进行归纳分析十分必要。在概括多站融合现有发展状况的基础上，按照交直流供电模式对现有的主体架构进行分类，并总结了多站融合的主体架构和各模块的架构设计方案；然后对多站融合中的储能电站模块、数据中心模块和充换电站模块的数学模型进行了分析，并分类讨论了多站融合在容量优化和策略优化中的目标函数与约束条件。此外，还对架构设计及策略优化中存在的问题进行了分析，并提出了相关建议。

Abstract

In order to meet the requirements of“carbon peak”and“carbon neutralization”

relying on the rich resources of substations

the multi-station integration has become an important way for power grid companies to expand comprehensive energy services.Therefore

it is necessary to summarize the architecture designing

modeling theory and strategy optimization method of multi-station integration. On the basis of summarizing the development of multi-station integration

the existing main architecture is classified by AC and DC power supply

and both the overall architecture and the local architecture are summarized. Then

the mathematical models of energy storage power station

data center and charging station in multistation integration are analyzed and summarized. Next

the objective functions and constraints in capacity optimization and strategy optimization are classified and summarized. In addition

the existing problems are also analyzed

and the development and prospect of the key technology of multi-station integration are discussed.

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