An uncertainty-aware optimization approach for flexible loads of smart grid prosumers: A use case on the Cardiff energy grid

Lilliu, Fabio; Loi, Andrea; Recupero, Diego Reforgiato; Sisinni, Mario; Vinyals, Meritxell

doi:10.1016/j.segan.2019.100272

Cited by 13 publications

(6 citation statements)

References 27 publications

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“…As part of future work we aim to extend our model to consider a third optimisation level as in [15,22] in which the community is connected to the wholesale market and/or to other communities, enabling participants to sell their energy surplus in there if they cannot find a buyer from their own commu-nity, or offer flexibility services (e.g. manage of the imbalance risk, congestion management,.…”

Section: Discussionmentioning

confidence: 99%

“…Complementary to us, [23] showed how to secure and fully decentralise the aggregation step of ADMM when optimising the energy exchanges in a microgrid by using a blockchain. We should also mention the work of Lilliu et al in [15] which used the same Cardiff dataset to evaluate their approach at three levels: the household, the LEC and an third level that considers congestion management requests. However, the similarity with that work ends here since their approach consisted on applying simple heuristic search to solve each of these levels and their model does not take into account any legislation requirement.…”

Section: Related Workmentioning

confidence: 99%

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Scalable multi-agent local energy trading — Meeting regulatory compliance and validation in the Cardiff grid

Vinyals

2021

Applied Energy

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Scalable multi-agent local energy trading — Meeting regulatory compliance and validation in the Cardiff grid

Vinyals

2021

Applied Energy

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“…This model supports consumers in managing their energy consumption, leading to savings and contributing to climate transformation [21]. Enabling flexible consumption involves access to price signals and incentives such as lower tariffs for reduced consumption during network congestion [20][21][22][23]. Decentralization of the energy market leads to reduced generation-consumption distance, and the microgrid sector is witnessing strong growth worldwide [24].…”

Section: Active Small Consumers In the Energy Marketmentioning

confidence: 99%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

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The paper outlines the methodology employed for desk-based research, which involved gathering and analyzing empirical data on energy and heating consumption in the Polish small consumer sector. Secondary sources, including reports, documents, scientific publications, and public statistics, were utilized to ensure a comprehensive understanding of the subject matter. The research methodology ensured the acquisition and examination of reliable and extensive data regarding energy and heat consumption among small consumers in Poland. The study investigated consumption trends of hard coal, electricity, and natural gas in Polish households from 2006 to 2021. The findings revealed an increasing pattern in electricity and natural gas consumption, alongside a simultaneous decline in the usage of hard coal. Future consumption was estimated using trend models, and factors contributing to changes in energy consumption patterns were examined, with forecasts to 2027. To achieve decarbonization and address climate objectives, the study underscores the need to increase the proportion of renewable energy sources and boost energy efficiency. The significance of reducing household energy consumption through enhanced insulation, smart energy management systems, and low-carbon alternatives is emphasized. Additionally, the study addresses Poland’s future energy plans as a proactive step toward decarbonizing the national economy. In summary, the study furnishes valuable insights into energy consumption trends and their determinants in the Polish small consumer sector.

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“…It represents the fixed part of the energy consumption of the user U i . In this work it will be treated as a known vector, although it has to be forecast and may present uncertainty: a possible approach to this issue can be the one used by (Lilliu et al, 2019a), which treat the components of the vector as probability distributions.…”

Section: Game Theory Approach To Our Smart Grid Problemsmentioning

confidence: 99%

Peer-to-peer Energy Trading for Smart Energy Communities

Denysiuk

Lilliu

Recupero

et al. 2020

Proceedings of the 12th International Conference on Agents and Artificial Intelligence

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Local energy communities (LECs) comprise prosumers cooperating for the satisfaction of their energy needs. Prosumers are community members that can both produce and consume energy. LECs facilitate the integration of renewables and provide the potential for reducing energy costs. Peer-to-peer (P2P) energy trading allows direct energy exchange between members of a local energy community. The surplus of energy from renewables is traded to meet a local consumption demand so that costs and revenues stay within community avoiding transmission losses and stress on the grid. This study presents a design of the peer-to-peer market for local energy communities where prosumers are rational and self-interested agents acting selfishly in an attempt to optimize their trades. The market design aims to ensure self-consumption of locally produced energy and provides incentives for balancing supply and demand within community. The proposed design is investigated in comparison with existing ones using theoretical analysis and simulations. The obtained results are promising and reveal advantageous properties of the proposed P2P energy trading.

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An uncertainty-aware optimization approach for flexible loads of smart grid prosumers: A use case on the Cardiff energy grid

Cited by 13 publications

References 27 publications

Scalable multi-agent local energy trading — Meeting regulatory compliance and validation in the Cardiff grid

Scalable multi-agent local energy trading — Meeting regulatory compliance and validation in the Cardiff grid

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Peer-to-peer Energy Trading for Smart Energy Communities

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