Coordinated Planning of HVDCs and Power-to-Hydrogen Supply Chains for Interregional Renewable Energy Utilization

Li, Jiarong; Lin, Jin; Song, Yonghua; Xiao, Jinyu; Liu, Feng; Zhao, Yuxuan; Zhan, Sen

doi:10.1109/tste.2022.3175855

Cited by 11 publications

(3 citation statements)

References 43 publications

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“…This approach allows decisions to possibly deviate from constraints to a certain extent while ensuring that the probability of adhering to the established constraints is not lower than a confidence level α (Abdalla et al, 2019). As an example, Li et al (2022b) introduced a distributed robust optimization chance constraint programming (DROCCP) method to resolve coordination challenges in RES.…”

Section: Probabilistic Methodsmentioning

confidence: 99%

A review of optimization modeling and solution methods in renewable energy systems

Yu,

You,

Zhou

2023

Front. Eng. Manag.

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The advancement of renewable energy (RE) represents a pivotal strategy in mitigating climate change and advancing energy transition efforts. A current of research pertains to strategies for fostering RE growth. Among the frequently proposed approaches, employing optimization models to facilitate decision-making stands out prominently. Drawing from an extensive dataset comprising 32806 literature entries encompassing the optimization of renewable energy systems (RES) from 1990 to 2023 within the Web of Science database, this study reviews the decision-making optimization problems, models, and solution methods thereof throughout the renewable energy development and utilization chain (REDUC) process. This review also endeavors to structure and assess the contextual landscape of RES optimization modeling research. As evidenced by the literature review, optimization modeling effectively resolves decision-making predicaments spanning RE investment, construction, operation and maintenance, and scheduling. Predominantly, a hybrid model that combines prediction, optimization, simulation, and assessment methodologies emerges as the favored approach for optimizing RES-related decisions. The primary framework prevalent in extant research solutions entails the dissection and linearization of established models, in combination with hybrid analytical strategies and artificial intelligence algorithms. Noteworthy advancements within modeling encompass domains such as uncertainty, multienergy carrier considerations, and the refinement of spatiotemporal resolution. In the realm of algorithmic solutions for RES optimization models, a pronounced focus is anticipated on the convergence of analytical techniques with artificial intelligence-driven optimization. Furthermore, this study serves to facilitate a comprehensive understanding of research trajectories and existing gaps, expediting the identification of pertinent optimization models conducive to enhancing the efficiency of REDUC development endeavors.

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Section: Probabilistic Methodsmentioning

confidence: 99%

A review of optimization modeling and solution methods in renewable energy systems

Yu,

You,

Zhou

2023

Front. Eng. Manag.

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“…This paper just considers electrolyzers connected to DC grids and other possible applications are neglected. This way, depending mainly on the rated power, electrolyzers can be connected to medium voltage DC systems (MVDC) [14], [15] or high voltage DC systems (HVDC) [16]. HVDC systems are a mature technology that has a place in today's power system, due to technical and economical superiority for certain applications, such as bulk transmission systems over long distances, undersea connections and integration of large-scale remote RES [17].…”

Section: Protection Of Mvdc Gridsmentioning

confidence: 99%

Protection of MVDC grids for the production of green hydrogen

Larruskain¹,

Eguia²,

Iturregi³

et al. 2024

RE&PQJ

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Green hydrogen production from renewable energy sources has a big potential to reduce energy dependence on fossil fuel, contributing to the global goal set by the international community of net zero emissions by 2050. Electrolyzers are connected to grid with power stages that can be designed as active devices with high control capability and a remarkably fast operation. Nevertheless, in the present, they must overcome some challenges in order to ensure a reliable operation. This paper addresses the concept of protection of DC grids with electrolyzers fed from renewable energy sources. The topologies of the grid are discussed as well as protection features and fault clearing strategies. A new dynamic model for multi megawatt PEM electrolyzer is introduced. Finally, a case study with a PEM electrolyzer in a MVDC system is included.

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“…In [60], an electricity‐hydrogen‐integrated energy system model considering seasonal storage was proposed, and N‐1 contingencies were considered for critical devices. Both [61] and [62] proposed hydrogen supply chain planning models; however, [61] concentrated on the synergistic planning of a hydrogen supply chain with high‐voltage direct current (HVDC) transmission to facilitate the interregional utilisation of renewable energy and [62] concentrated on the flexible scheduling of hydrogen transmission paths. Currently, most studies are conducted on the rational deployment of hydrogen refuelling stations and electricity‐hydrogen coordinated planning considering system economic benefits, and few studies have proposed solutions for the resilience enhancement of hydrogen‐powered systems under predictable accidents (i.e.…”

Section: Preventive Planning For Resilience Enhancement Of Electricit...mentioning

confidence: 99%

Hydrogen‐powered smart grid resilience

Han

Wang

et al. 2023

Energy Conversion and Econom

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With an increasing frequency of natural disasters and security attacks, the safe and stable operation of smart grid has been challenged unprecedently. To reduce the economic loss and social impact caused by power outage accidents, it is urgent to develop and improve the smart grid technology, and strengthen the disaster resistance and recovery capability of smart grids when faced with extreme events. As an efficient and flexible secondary energy source, hydrogen is crucial in improving the resilience of smart grid and supporting energy security. To further promote the deep integration of hydrogen systems and smart grid and improve the energy system resilience, the resilience of smart grids supported by hydrogen is assessed in this study. First, a technical framework of hydrogen-powered smart grid resilience is established, and the value of hydrogen-powered smart grid resilience is analysed considering different time frames (before, during and after an extreme event) of smart grids facing extreme events. Then, hydrogen-powered smart grid resilience is investigated from perspectives of pre-prevention regulation, in-process correction regulation, and postrecovery regulation. Finally, future direction for hydrogen-powered smart grid resilience is investigated and related policy suggestions are provided.

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Coordinated Planning of HVDCs and Power-to-Hydrogen Supply Chains for Interregional Renewable Energy Utilization

Cited by 11 publications

References 43 publications

A review of optimization modeling and solution methods in renewable energy systems

A review of optimization modeling and solution methods in renewable energy systems

Protection of MVDC grids for the production of green hydrogen

Hydrogen‐powered smart grid resilience

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