Multi-state techno-economic model for optimal dispatch of grid connected hydrogen electrolysis systems operating under dynamic conditions

Matute, G.; Yusta, José M.; Beyza, Jesus; Correas, Luis

doi:10.1016/j.ijhydene.2020.10.019

Cited by 72 publications

(23 citation statements)

References 18 publications

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“…They tested the model with real data and compared it with a simple model with only two states. The results show that the multi-state model can reduce production cost [10] . However, there is still no optimal operation model for electric gas-integrated energy systems including multi-state RSOC.…”

Section: Introductionmentioning

confidence: 90%

“…Equations ( 9) to (13) are equations describing the operating state and on-off action of RSOC; Equations (14) to (16) represent the Minimum switching interval. Equation (9) represents that the RSOC unit can only work in the hot standby state, shutdown state, power generation state and electrolysis state; Equation (10) indicates that the unit cannot be directly converted from shutdown state to hot standby state. , , , ,…”

Section: Operation Schedule Modelmentioning

confidence: 99%

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Optimal operation of RSOC integrated energy systems considering multi-state transitions

Zhang

Zhao

et al. 2022

J. Phys.: Conf. Ser.

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Reversible solid oxide fuel cells (RSOC) can realize energy storage and power generation in a compact structure, and their high-temperature operation characteristics provide the possibility for combined heat and power generation. Therefore, RSOC can be used as the node of the multi-energy flow intersection of the integrated energy system. The flexible operation mode of RSOC will greatly reduce the operation cost. However, the optimal operation of an integrated energy system including RSOC is very rare at present, so this paper establishes an integrated energy system of the electric gas network including RSOC. On this basis, this paper constructs an RSOC model, a DC power flow model and a linearized gas power flow model considering multiple operating states. Then, based on GAMS, the economic cost of a 24-20 electric gas composite network is optimized. After verifying the reliability of the model, the optimization results considering two working conditions and four working conditions are compared. It is concluded that the model considering multiple operating states of RSOC will reduce the operating cost of the system by 24%.

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Section: Introductionmentioning

confidence: 90%

Section: Operation Schedule Modelmentioning

confidence: 99%

Optimal operation of RSOC integrated energy systems considering multi-state transitions

Zhang

Zhao

et al. 2022

J. Phys.: Conf. Ser.

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“…Various studies have incorporated different levels of operational details of the electrolyzer into their optimization problems. In [7] and [8], a constant efficiency is applied but two and three states are modeled, respectively, by adding binary variables. In [10], three states are modeled, while assuming a linear hydrogen production curve, despite showing that the production curve is not well approximated by a first-order interpolation.…”

Section: B Aim and Literature Reviewmentioning

confidence: 99%

Optimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary?

Baumhof¹,

Raheli²,

Johnsen³

et al. 2023

Preprint

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Hybrid power plants comprising renewable power sources and electrolyzers are envisioned to play a key role in accelerating the transition towards decarbonization. It is common in the current literature to use simplified operational models for electrolyzers. It is still an open question whether this is a good practice, and if not, when a more detailed operational model is necessary. This paper answers it by assessing the impact of adding different levels of electrolyzer details, i.e., physics and operational constraints, to the optimal dispatch problem of a hybrid power plant in the day-ahead time stage. Our focus lies on the number of operating states (on, off, standby) as well as the number of linearization segments used for approximating the non-linear hydrogen production curve. For that, we develop several mixedinteger linear models, each representing a different level of operational details. We conduct a thorough comparative ex-post performance analysis under different price conditions, wind farm capacities, and minimum hydrogen demand requirements, and discuss under which operational circumstances a detailed model is necessary. In particular, we provide a case under which a simplified model, compared to a detailed one, results in a decrease in profit of 1.8% and hydrogen production of 13.5% over a year. The key lesson learned is that a detailed model potentially earns a higher profit in circumstances under which the electrolyzer operates with partial loading. This could be the case for a certain range of electricity and hydrogen prices, or limited wind power availability. The detailed model also provides a better estimation of true hydrogen production, facilitating the logistics required.

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“…The integration of AEL models with energy systems has been investigated by many authors in terms of frequency control strategies [11,29,30], techno-economic assessments [13,31e33], and experimental setups [34e36]. The work from Matute et al [37] introduces operational states of an electrolysis plant (production, standby and idle) to determine the optimal dispatch of hydrogen under dynamic operation.…”

Section: Introductionmentioning

confidence: 99%

Modeling alkaline water electrolysis for power-to-x applications: A scheduling approach

Varela

Mostafa

Zondervan³

2021

International Journal of Hydrogen Energy

149

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Multi-state techno-economic model for optimal dispatch of grid connected hydrogen electrolysis systems operating under dynamic conditions

Cited by 72 publications

References 18 publications

Optimal operation of RSOC integrated energy systems considering multi-state transitions

Optimal operation of RSOC integrated energy systems considering multi-state transitions

Optimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary?

Modeling alkaline water electrolysis for power-to-x applications: A scheduling approach

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