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面向现代多能流网络中社区微网的互易能源体系结构:芝加哥案例研究。

An innovative transactive energy architecture for community microgrids in modern multi-carrier energy networks: a Chicago case study.

机构信息

Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran.

Department of Electrical Engineering, School of Energy Systems, Lappeenranta University of Technology, Lappeenranta, Finland.

出版信息

Sci Rep. 2023 Jan 27;13(1):1529. doi: 10.1038/s41598-023-28563-7.

DOI:10.1038/s41598-023-28563-7
PMID:36707686
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9883243/
Abstract

As the technology of multi-energy carbon-free systems is strikingly developed, renewable-based multi-vector energy integration has become a prevalent trend in the decarbonization procedure of multi-carrier energy networks (MCENs). This paper proposes a fair transactive energy model for structuring an innovative local multi-energy trading market to allow multi-carrier multi-microgrids (MCMGs) with 100% renewable energy sources (RESs) in Chicago for free energy exchange aiming to balance energy in the renewable-dominant environment. Indeed, the main goal of the proposed model is to facilitate the modernization of future MCENs that are targeted to be equipped with 100% RESs and require a holistic model engaged with innovative technologies for the realization. To this end, the transactive energy architecture is designed for techno-environmental-economic assessing hybrid MCMGs to increase their flexibility in unbroken energy serving, decreasing their dependency on the main grid, and improving their economic benefits by considering their contribution level in energy interactions. To effectively model uncertainties of MCENs with 100% RESs, the novel hybrid technique is proposed that considers various stochastic changes of uncertain parameters to achieve confident results. The results highlighted the capability of the proposed model in effectively utilizing fully produced clean energy as well as continuously multi-energy serving of MCMGs in the presence of 100% RESs. Moreover, MCMGs reached techno-environmental-economic benefits by operating under the proposed transactive energy-based model, in which the technical, environmental, and economic goals are respectively realized by considering all constraints of MCENs, producing 100% clean energy by RESs, and reducing the total energy cost from $1,274,742.55 in the based model to $1,159,235.89 in the proposed one.

摘要

随着多能无碳系统技术的飞速发展,基于可再生能源的多矢量能源集成已成为多载体能源网络(MCEN)脱碳过程中的普遍趋势。本文提出了一种公平的交易能源模型,用于构建一个创新的本地多能源交易市场,以使芝加哥拥有 100%可再生能源(RES)的多载体多微电网(MCMG)能够进行自由能源交换,从而在可再生能源为主的环境中实现能源平衡。实际上,所提出模型的主要目标是促进未来 MCEN 的现代化,这些 MCEN的目标是配备 100%的 RES,并需要采用整体模型并结合创新技术来实现。为此,设计了用于技术环境经济评估混合 MCMG 的交易能源架构,以提高其在不间断能源服务中的灵活性,降低对主电网的依赖,并通过考虑其在能源交互中的贡献水平来提高其经济效益。为了有效地对 100% RES 的 MCEN 不确定性进行建模,提出了新的混合技术,该技术考虑了不确定参数的各种随机变化,以实现可靠的结果。结果突出了所提出模型在有效利用完全产生的清洁能源以及在存在 100% RES 的情况下连续多能源服务 MCMG 的能力。此外,MCMG 通过在基于所提出的交易能源的模型下运行实现了技术、环境和经济效益,其中通过考虑 MCEN 的所有约束,通过 RES 产生 100%的清洁能源,并将总能源成本从基础模型的$1,274,742.55 降低到$1,159,235.89。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/afb7f18e2fe3/41598_2023_28563_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/58a0f33f1dc9/41598_2023_28563_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/e04ad479866d/41598_2023_28563_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/ef2765519043/41598_2023_28563_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/af42150c079d/41598_2023_28563_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/d7b827c71e4f/41598_2023_28563_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/6df82b9f968f/41598_2023_28563_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/afb7f18e2fe3/41598_2023_28563_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/58a0f33f1dc9/41598_2023_28563_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/e04ad479866d/41598_2023_28563_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/cafadbaf3c9a/41598_2023_28563_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/ef2765519043/41598_2023_28563_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/af42150c079d/41598_2023_28563_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/d7b827c71e4f/41598_2023_28563_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/6df82b9f968f/41598_2023_28563_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d7af/9883243/afb7f18e2fe3/41598_2023_28563_Fig8_HTML.jpg

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