An optimization scheduling method for micro energy grid considering hydrogen station operation

赵黎; 毕晓甜; 朱劲松; 顾海飞

doi:10.3969/j.issn.1009-1831.2020.05.009

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An optimization scheduling method for micro energy grid considering hydrogen station operation

更新时间：2026-03-05

- An optimization scheduling method for micro energy grid considering hydrogen station operation
- Vol. 22, Issue 5, (2020)
- 作者机构：
  
  1. 国网江苏省电力有限公司检修分公司,南京,211102
  2. 国网江苏省电力有限公司电力科学研究院,南京,211103
  3. 国网江苏省电力有限公司,南京,211100
  4. 东南大学电气工程学院,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2020.05.009
  CLC：
- Published：2020
- 稿件说明：
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赵黎, 毕晓甜, 朱劲松, et al. An optimization scheduling method for micro energy grid considering hydrogen station operation[J]. 2020, 22(5).
DOI：

赵黎, 毕晓甜, 朱劲松, et al. An optimization scheduling method for micro energy grid considering hydrogen station operation[J]. 2020, 22(5). DOI： 10.3969/j.issn.1009-1831.2020.05.009.

摘要

微能源网内含电、气、热、冷等多种能源类型，可实现能源的梯级利用，有效促进风、光等多种新能源的消纳。相比电动汽车，氢燃料电池车具有加注时间短、续航能力强的优势，近年来得到快速发展。提出一种考虑加氢站渗透的微能源网优化调度方法，在满足用能区域内的电、气、热、冷等多种用能需求的前提下，制定加氢站的最优调度策略，有效促进氢能的发展与利用。算例中将微能源网与加氢站独自运行与含加氢站的微能源网集中运行进行对比，验证了所提模型及方法的优越性和有效性。

Abstract

With various energy types such as electricity

gas

heat and cold

the micro energy grid can realize the cascade utilization of energy and effectively promote the consumption of various new energy sources such as wind and solar. Compared with electric vehicles

hydrogen fuel cell vehicles have the advantages of short refueling time and strong endurance

and have been rapidly developed in recent years. An optimization scheduling method of micro energy grid with the penetration of hydrogen refueling station is proposed. Under the premise of meeting the energy demand of electricity

gas

heat and cold in this region

the optimal scheduling strategy for the hydrogen fueling station is formulated

which can effectively promote the development and utilization of hydrogen energy. Case studies compare the independent operation of the micro energy grid and the hydrogen refueling station. The cooperative operation of them verify the superiority and effectiveness of the proposed model and method.

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