Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology

Shahbazbegian, Vahid; Dehghani, Farnam; Shafiyi, Mohammad Agha; Shafie‐khah, Miadreza; Laaksonen, Hannu; Ameli, Hossein

doi:10.1016/j.energy.2023.128430

Cited by 18 publications

(4 citation statements)

References 53 publications

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“…By combining analytical target cascading and a robust model, which can be solved with a column-and-constraint generation strategy, the robust economic dispatch problem can be used in a distributed fashion by several entities, including DNOs and MGOs. In Shahbazbegian et al., 98 the modified decomposition scheme based on ADMM is proposed to decouple the decentralized problem into master, lower-level, and upper-level problems. By doing so, the above method can enhance convergence characteristics in contrast with traditional dual decomposition.…”

Section: Multi-microgrid Dispatchmentioning

confidence: 99%

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

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Section: Multi-microgrid Dispatchmentioning

confidence: 99%

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Kumar,

Singh,

Raghav

et al. 2024

iScience

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“…A feasibility study is a critical planning stage, where the main objective of the microgrid system engineer is to assess the system for given parameters such as available renewable generation, energy demand, consumption patterns, and other social factors. In both studies (Bai et al, 2019;Shahbazbegian et al, 2023), a technical and economic analysis was carried out for a MEM, but little emphasis was given to modeling the solar generation forecasting. A similar issue was also seen in Kovačević Markov and Rajaković (2019), where a feasibility study was developed for a MEM.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Deep learning-based solar power forecasting model to analyze a multi-energy microgrid energy system

Punyam Rajendran,

Gebremedhin

2024

Front. Energy Res.

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Multi-energy microgrids (MEM) are a new class of power grids focusing on the distributed form of generation and integrating different energy sectors. The primary idea of MEM is to increase renewable energy share in the final energy demand while maintaining the energy balance at all times. However, integrating renewable technology into the grid has some technical limitations that must be analyzed before being deployed in the real world. This study examines the impact of increasing renewable penetration and portfolio design on a multi-energy microgrid energy system from a technical standpoint. As the accuracy of the system analysis is primarily a factor of modeling accuracy, an artificial neural network-based model is trained and deployed to develop forecasts for solar power generation. The forecasting model is integrated with the EnergyPLAN simulation tool to analyze the multi-energy microgrid system regarding renewable share in primary energy consumption and import/export of energy from the primary grid. The Norwegian energy system is considered a case study, as the energy generation and consumption patterns are interesting from both renewable energy and demand contexts for a cold country. One interesting conclusion is that the portfolio and capacities of coupling components such as combined heat and power plants negatively impact renewable integration, while heat pumps positively impact renewable integration by increasing renewable energy utilization. Additionally, the photovoltaic system size has a high degree of correlation to imports and exports compared to wind generation systems.

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“…Hydrogen can be integrated into existing gas networks [21][22][23], providing a cleaner alternative to fossil fuels for heating and industrial processes [24][25][26]. Additionally, its role in sector coupling-linking electricity, heat, and transport sectors-enhances overall system efficiency and resilience [27,28].…”

Section: Hydrogen Transport and Utilizationmentioning

confidence: 99%

A Review of the Role of Hydrogen in the Heat Decarbonization of Future Energy Systems: Insights and Perspectives

Ameli,

Strbac,

Pudjianto

et al. 2024

Energies

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Hydrogen is an emerging technology changing the context of heating with cleaner combustion than traditional fossil fuels. Studies indicate the potential to repurpose the existing natural gas infrastructure, offering consumers a sustainable, economically viable option in the future. The integration of hydrogen in combined heat and power systems could provide residential energy demand and reduce environmental emissions. However, the widespread adoption of hydrogen will face several challenges, such as carbon dioxide emissions from the current production methods and the need for infrastructure modification for transport and safety. Researchers indicated the viability of hydrogen in decarbonizing heat, while some studies also challenged its long-term role in the future of heating. In this paper, a comprehensive literature review is carried out by identifying the following key aspects, which could impact the conclusion on the overall role of hydrogen in heat decarbonization: (i) a holistic view of the energy system, considering factors such as renewable integration and system balancing; (ii) consumer-oriented approaches often overlook the broader benefits of hydrogen in emission reduction and grid stability; (iii) carbon capture and storage scalability is a key factor for large-scale production of low-emission blue hydrogen; (iv) technological improvements could increase the cost-effectiveness of hydrogen; (v) the role of hydrogen in enhancing resilience, especially during extreme weather conditions, raises the potential of hydrogen as a flexible asset in the energy infrastructure for future energy supply; and finally, when considering the UK as a basis case, (vi) incorporating factors such as the extensive gas network and unique climate conditions, necessitates specific strategies.

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Techno-economic assessment of energy storage systems in multi-energy microgrids utilizing decomposition methodology

Cited by 18 publications

References 53 publications

State-of-the-art review on energy sharing and trading of resilient multi microgrids

State-of-the-art review on energy sharing and trading of resilient multi microgrids

Deep learning-based solar power forecasting model to analyze a multi-energy microgrid energy system

A Review of the Role of Hydrogen in the Heat Decarbonization of Future Energy Systems: Insights and Perspectives

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