Modeling Hydrogen Supply Chain in Renewable Electric Energy System Planning

Jiang, Haiyang; Qi, Buyang; Wang, Jianxiao; Yang, Xiu; Yang, Fengtao; Wu, Zhaoyuan

doi:10.1109/tia.2021.3117748

Cited by 37 publications

(9 citation statements)

References 35 publications

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“…The second objective function is the voltage deviation index of the main node, which is because the voltage may be low at the end node of the line, and it may be high near the new energy node. Hydrogen energy storage can effectively optimize the local voltage index, so the voltage offset is taken as the secondary optimization objective: (8) Where,…”

Section: Objective Functionmentioning

confidence: 99%

Research on grid planning considering hydrogen energy storage

Liu,

Duan,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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Hydrogen energy has important carbon neutral potential and long-term storage capacity, so hydrogen storage can be used as a medium -and long-term storage device in the future power grid to balance the uncertainty brought by new energy. Therefore, a hydrogen storage model is proposed for power grid planning, and constructs a power grid planning model containing hydrogen energy storage. In this paper, the sparrow search method is used to solve the model, and the method is improved to improve the local search and global search ability of the algorithm. The effectiveness of the model and method is verified by a numerical example.

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Section: Objective Functionmentioning

confidence: 99%

Research on grid planning considering hydrogen energy storage

Liu,

Duan,

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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“…On the utilization side, hydrogen is employed in electricity generation through technologies such as hydrogen fuel cells and hydrogen‐doped gas turbines. For instance, the researchers in [9] conducted a planning study focusing on the hydrogen supply chain within the renewable electric energy system. In [10], an operational reliability evaluation model was established for an electric‐gas integrated energy system, leveraging gas‐to‐hydrogen doping.…”

Section: Introductionmentioning

confidence: 99%

“…Current research on HIES has focused on renewable energy to hydrogen (RE2H) [9][10][11][12]. On the hydrogen production front, electrolyzers, powered by renewable energy sources such as wind power and photovoltaics, are employed to generate hydrogen, commonly referred to as green hydrogen (GH) [10].…”

Section: Introductionmentioning

confidence: 99%

A coordinated green hydrogen and blue hydrogen trading strategy between virtual hydrogen plant and electro‐hydrogen energy system

Li,

Zhao,

2024

IET Generation Trans & Dist

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In the hydrogen‐based integrated energy system (HIES), there exists a hydrogen trading market where hydrogen producers and consumers are distinct stakeholders. Current research in hydrogen trading predominantly focuses on high‐cost green hydrogen (GH), which is not aligned with the current trend of utilizing hydrogen from multiple sources. To address this, this paper proposes a hydrogen trading strategy between the virtual hydrogen plant (VHP) and electro‐hydrogen energy system (EHES) based on a bi‐level model, considering the synergy of GH produced from electrolyzers and blue hydrogen (BH) derived from natural gas in the HIES. In the VHP level, the objective is to maximize profit from hydrogen sales, allowing for the determination of hydrogen prices. In the EHES level, the goal is to minimize the cost of energy supply, leading to the formulation of GH and BH purchasing plans based on hydrogen prices. Additionally, this paper incorporates a risk‐averse model from the information gap decision theory (IGDT) to account for the impact of wind power output uncertainties in the VHP level. Subsequently, leveraging the Karush–Kuhn–Tucker (KKT) conditions of the EHES level, the bi‐level problem is transformed into a solvable single‐level mathematical program with equilibrium constraints (MPEC), with the non‐linear equilibrium constraints linearized. The proposed bi‐level optimization model is validated through case studies encompassing industrial and residential hydrogen utilization within the HIES. The outcomes confirm the rationality of the proposed model, demonstrating that, in comparison to exclusively trading GH, the coordinated GH and BH trading can increase the profit of the VHP by 2.7% and reduce the costs of the EHES by 8.5%.

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“…In the complex MES, both the multi-energy demands and renewable energy outputs show significant variations, including daily and seasonal variations. [3] In this context, the collaborative planning of short-term and long-term storage has attracted more attention for compensating for these two variations respectively [4][5][6]. However, the optimal planning of MES with these two kinds of storage is a large-scale program problem because a massive number of decision variables should be introduced to model the operation of short-term and long-term storage for accurate operational cost estimation [7].…”

Section: Introductionmentioning

confidence: 99%

An efficient local multi‐energy systems planning method with long‐term storage

Jian

Zhang

Wen

et al. 2023

IET Renewable Power Gen

Self Cite

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Long‐term storage will play a crucial role in future local multi‐energy systems (MES) with high penetration renewable energy integration for demand balancing. Local MES planning with long‐term energy storage is essentially a very large‐scale program because numerous decision variables, including binary variables, should be used to model long‐term energy dependencies for accurate operational cost estimation. How to largely reduce decision variables as well as guarantee the planning model accuracy becomes one main concern. To this end, this paper proposes a novel efficient aggregation and modeling method for local MES planning. The aggregation method first decomposes input time series data (renewable energy output and energy demand) into hourly and daily components, based on which more accurate aggregation results with a few typical scenarios can be derived. By incorporating similar decomposition into the operation model of energy devices, the planning model can describe the long‐term energy cycle and the hourly operation characteristic at the same time and yield accurate optimization results with limited complexity. Experimental results show that the proposed method can considerably decrease the complexity of the problem while maintaining agreement with the results based on the optimization of the full‐time series.

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Modeling Hydrogen Supply Chain in Renewable Electric Energy System Planning

Cited by 37 publications

References 35 publications

Research on grid planning considering hydrogen energy storage

Research on grid planning considering hydrogen energy storage

A coordinated green hydrogen and blue hydrogen trading strategy between virtual hydrogen plant and electro‐hydrogen energy system

An efficient local multi‐energy systems planning method with long‐term storage

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