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考虑氢燃料电池汽车的互联异质多微电网的最优功率-热-碳调度策略。

Optimal power-heat-carbon scheduling strategy for interconnected heterogeneous multi-microgrid considering hydrogen fuel cell vehicles.

机构信息

Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China.

State Grid Hubei Electric Power Co, Ltd, Wuhan, China.

出版信息

PLoS One. 2024 Apr 1;19(4):e0301333. doi: 10.1371/journal.pone.0301333. eCollection 2024.

Abstract

The scale of multi-microgrid (MMG) and hydrogen fuel cell vehicles (HFCVs) is increasing dramatically with the increase in the new energy penetration ratio, and developing an integrated energy system containing a multi-microgrid for hydrogen fuel vehicles brings great challenges to power grid operation. Focusing on the difficulties of the access of multiple microgrids for the low-carbon and economic operation of the system, this paper proposes an optimal interconnected heterogeneous multi-microgrid power-heat-carbon scheduling strategy for hydrogen-fueled vehicles. Firstly, an HFCV model is established, and then an optimal scheduling model is constructed for the cooperative trading of power-heat-carbon in a multi-microgrid, on the basis of which the low-carbon economic operation of the multi-microgrid is realized. The results of the case study show that the scheduling strategy in this paper reduces carbon emissions by about 7.12% and costs by about 3.41% compared with the independent operation of the multi-microgrid. The degrees of interaction of each multi-microgrid are also analyzed under different HFCV penetration rates.

摘要

随着新能源渗透率的提高,多微电网(MMG)和氢燃料电池汽车(HFCV)的规模正在急剧扩大,为氢燃料电池汽车开发包含多微电网的综合能源系统给电网运行带来了巨大挑战。本文针对多微网接入系统的低碳经济运行的难点,提出了一种面向氢燃料电池汽车的多微网互联异质优化调度策略。首先建立 HFCV 模型,然后构建多微网的电热碳协同交易优化调度模型,实现多微网的低碳经济运行。算例结果表明,与多微网独立运行相比,本文提出的调度策略可降低碳排放约 7.12%,降低成本约 3.41%。还分析了在不同 HFCV 渗透率下各多微网的交互程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/753c/10984403/66a94b88a4da/pone.0301333.g001.jpg

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