Enhancing DC distribution network efficiency through optimal power coordination in lithium-ion batteries: A sparse nonlinear optimization approach

Grisales-Noreña, Luis Fernando; Cortes-Caicedo, Brandon; Montoya, Oscar Danilo; Gil-González, Walter; Muñoz, Javier

doi:10.1016/j.est.2024.112484

Journal of Energy Storage

2024

DOI: 10.1016/j.est.2024.112484

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Enhancing DC distribution network efficiency through optimal power coordination in lithium-ion batteries: A sparse nonlinear optimization approach

Luis Fernando Grisales-Noreña,

Brandon Cortes-Caicedo,

Oscar Danilo Montoya

et al.

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2024

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Cited by 2 publications

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Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

Huang,

Lu,

et al. 2024

Asia-Pacific J Chem Eng

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Due to the complexity of the internal pore structure of petroleum coke loose particle‐packed beds, measuring their thermal conductivity has always been a challenging problem. This work independently developed an experimental apparatus for testing the thermal conductivity of petroleum coke particle‐packed beds and constructed a forward calculation model for the heat transfer process, which was based on one‐dimensional unsteady heat transfer. Using the Sparse Nonlinear OPTimizer (SNOPT) algorithm, a mathematical relationship between the thermal conductivity λ of the coke bed, temperature T, and equivalent particle diameter dp was established through inverse modeling. Concurrently, a digital model of the petroleum coke particle packed bed was derived utilizing three‐dimensional computed tomography (CT) scanning technology, and a pore‐scale gas–solid radiation heat transfer model was formulated based on CFD simulation technology, thereby further elucidating the heat transfer mechanism within the petroleum coke particle packed bed. The research results indicate that the temperature predicted by the established thermal conductivity model aligns well with experimental data. Further CFD simulation studies demonstrate that a smaller particle size leads to a larger temperature difference between the wall and the center of the packed bed, while a higher gas velocity results in a smaller temperature difference, with a linear correlation observed between these two factors. At high temperatures, thermal radiation between particles in the porous petroleum coke‐packed bed plays a dominant role. The research outcomes can offer significant theoretical support for a profound analysis of the heat transfer behavior of petroleum coke‐packed beds within a vertical shaft calciner.

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Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

Huang,

Lu,

et al. 2024

Asia-Pacific J Chem Eng

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Study on two‐stage optimal scheduling of DC distribution networks considering flexible load response

Chen,

Yang,

Jiang

et al. 2024

IET Electric Power Appl

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Due to the aim of developing sustainable energy systems, promoting the large‐scale accommodation of distributed renewable energy sources (DRESs) and flexible loads in DC distribution networks (DCDNs) is significant. The uncertainty of DRESs and the insufficient use of flexible loads pose a considerable challenge to the economical and safe operation of DCDNs. To address the challenge, this paper puts forward a two‐stage optimal scheduling model for the DCDNs considering flexible load response. The proposed model realises joint economic optimisation and reactive power optimisation, which is solved by the hybrid NSGAII‐MOPSO algorithm and the CPLEX. The performance of the proposed model in the modified Institute of Electrical and Electronics Engineers 33‐node system with the DCDNs is validated under different scenarios. The hybrid NSGAII‐MOPSO performs better in obtaining the Pareto front than the NSGA‐II and MOPSO individually. Compared to the traditional scheduling model, the proposed model can realise the power coordination of the flexible loads and energy storage systems to reduce the negative impact of uncertainty of DRESs while decreasing operating costs and carbon emissions by 3.94% and 36.4%. In addition, the proposed model can alleviate the network losses and ensure the node voltage for the DCDNs. Hence, the efficiency of the proposed model has been confirmed.

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Enhancing DC distribution network efficiency through optimal power coordination in lithium-ion batteries: A sparse nonlinear optimization approach

Cited by 2 publications

References 41 publications

Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

Heat transfer characteristics of petroleum coke particle packed bed: An experimental and CFD simulation study

Study on two‐stage optimal scheduling of DC distribution networks considering flexible load response

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