Risk management of energy communities with hydrogen production and storage technologies

[1]  M. Santarelli,et al.  Potential and technical challenges of on-board hydrogen storage technologies coupled with fuel cell systems for aircraft electrification , 2023, Journal of Power Sources.

[2]  J. Toubeau,et al.  Risk-Based Constraints for the Optimal Operation of an Energy Community , 2022, IEEE Transactions on Smart Grid.

[3]  Hankwon Lim,et al.  An overview of water electrolysis technologies for green hydrogen production , 2022, Energy Reports.

[4]  Hongxing Yang,et al.  Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods , 2022, Applied Energy.

[5]  Iason I. Avramidis,et al.  Local Energy Communities in Service of Sustainability and Grid Flexibility Provision: Hierarchical Management of Shared Energy Storage , 2022, IEEE Transactions on Sustainable Energy.

[6]  J. Catalão,et al.  A two-stage joint operation and planning model for sizing and siting of electrical energy storage devices considering demand response programs , 2022, International Journal of Electrical Power & Energy Systems.

[7]  Mohamed A. Ahmed,et al.  Novel Demand Side-Management Strategy for Smart Grid Concepts Applications in Hybrid Renewable Energy Systems , 2022, 2022 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE).

[8]  A. Ajanovic,et al.  The economics and the environmental benignity of different colors of hydrogen , 2022, International Journal of Hydrogen Energy.

[9]  G. Baldinelli,et al.  A techno-economic analysis of a solar PV and DC battery storage system for a community energy sharing , 2022, Energy.

[10]  Di Wu,et al.  A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings , 2021, Energy.

[11]  Teuku Meurah Indra Mahlia,et al.  Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues , 2021 .

[12]  Yan Gao,et al.  Bi-level stochastic real-time pricing model in multi-energy generation system: A reinforcement learning approach , 2021, Energy.

[13]  I. Wasiak,et al.  Energy Management in a Prosumer Installation Using Hybrid Systems Combining EV and Stationary Storages and Renewable Power Sources , 2021, Applied Sciences.

[14]  Daniel Hissel,et al.  Hydrogen energy systems: A critical review of technologies, applications, trends and challenges , 2021, Renewable and Sustainable Energy Reviews.

[15]  T. Hamacher,et al.  Access Economy for Storage in Energy Communities , 2021, IEEE Transactions on Power Systems.

[16]  Thomas Hamacher,et al.  Risk Trading in Energy Communities , 2021, IEEE Transactions on Smart Grid.

[17]  G. Georghiou,et al.  Social arrangements, technical designs and impacts of energy communities: A review , 2021 .

[18]  Mun-Kyeom Kim,et al.  Two-Stage Optimal Microgrid Operation with a Risk-Based Hybrid Demand Response Program Considering Uncertainty , 2020, Energies.

[19]  Yufeng Yao,et al.  Design optimization of grid-connected PV-Hydrogen for energy prosumers considering sector-coupling paradigm: Case study of a university building in Algeria , 2020 .

[20]  Gevork B. Gharehpetian,et al.  Chance-constrained models for transactive energy management of interconnected microgrid clusters , 2020 .

[21]  Wei Qiao,et al.  A Stochastic Bilevel Model for an Electricity Retailer in a Liberalized Distributed Renewable Energy Market , 2020, IEEE Transactions on Sustainable Energy.

[22]  M. J. Hossain,et al.  Energy Trading in Local Electricity Market With Renewables—A Contract Theoretic Approach , 2020, IEEE Transactions on Industrial Informatics.

[23]  C. Zamfirescu,et al.  Updates on promising thermochemical cycles for clean hydrogen production using nuclear energy , 2020 .

[24]  P. Virtič,et al.  The potential for integration of hydrogen for complete energy self-sufficiency in residential buildings with photovoltaic and battery storage systems , 2020 .

[25]  Shengli Xie,et al.  Multi-Resource Allocation of Shared Energy Storage: A Distributed Combinatorial Auction Approach , 2020, IEEE Transactions on Smart Grid.

[26]  V. Grimm,et al.  Risk Aversion in Multilevel Electricity Market Models With Different Congestion Pricing Regimes , 2020, SSRN Electronic Journal.

[27]  Ming Zhou,et al.  Profit-Sharing Mechanism for Aggregation of Wind Farms and Concentrating Solar Power , 2020, IEEE Transactions on Sustainable Energy.

[28]  S. Shiva Kumar,et al.  Hydrogen production by PEM water electrolysis – A review , 2019 .

[29]  M. Pietrafesa,et al.  Energetic and economic analysis of a stand alone photovoltaic system with hydrogen storage , 2019, Renewable Energy.

[30]  José María Maestre,et al.  Multicriteria optimal operation of a microgrid considering risk analysis, renewable resources, and model predictive control , 2019, Optimal Control Applications and Methods.

[31]  Thomas Morstyn,et al.  Bilateral Contract Networks for Peer-to-Peer Energy Trading , 2019, IEEE Transactions on Smart Grid.

[32]  Zhu Han,et al.  A Contract Game for Direct Energy Trading in Smart Grid , 2018, IEEE Transactions on Smart Grid.

[33]  Salah Bahramara,et al.  A risk-based approach for modeling the strategic behavior of a distribution company in wholesale energy market , 2018 .

[34]  Hongmei Yu,et al.  Water electrolysis based on renewable energy for hydrogen production , 2018 .

[35]  Francisco Rodríguez,et al.  Energy Management Strategy for Micro-Grids with PV-Battery Systems and Electric Vehicles , 2018 .

[36]  José Manuel Andújar,et al.  A review of energy management strategies for renewable hybrid energy systems with hydrogen backup , 2018 .

[37]  Narayana Prasad Padhy,et al.  Challenges with renewable energy sources and storage in practical distribution systems , 2017 .

[38]  Jianzhong Wu,et al.  An Overview of the Smart Grid in Great Britain , 2015 .

[39]  Fabio Massaro,et al.  Real-time pricing for aggregates energy resources in the Italian energy market , 2015 .

[40]  K. Palanisamy,et al.  Optimization in microgrids with hybrid energy systems – A review , 2015 .

[41]  Mar Reguant,et al.  Sequential Markets, Market Power and Arbitrage , 2014 .

[42]  Ali Reza Seifi,et al.  Expert energy management of a micro-grid considering wind energy uncertainty , 2014 .

[43]  Stamatis Karnouskos,et al.  Smart Houses in the Smart Grid: Developing an interactive network. , 2014, IEEE Electrification Magazine.

[44]  Antonio J. Conejo,et al.  Contract design and supply chain coordination in the electricity industry , 2013, Eur. J. Oper. Res..

[45]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[46]  Dae-Man Han,et al.  Smart home energy management system using IEEE 802.15.4 and zigbee , 2010, IEEE Transactions on Consumer Electronics.

[47]  A. Salo,et al.  Optimization of Electricity Retailer's Contract Portfolio Subject to Risk Preferences , 2010, IEEE Transactions on Power Systems.

[48]  H. B. Gooi,et al.  Spinning Reserve Estimation in Microgrids , 2009, IEEE Transactions on Power Systems.

[49]  Edward J. Anderson,et al.  Forward contracts and market power in an electricity market , 2008 .

[50]  R. Rockafellar,et al.  Conditional Value-at-Risk for General Loss Distributions , 2001 .

[51]  Blaise Allaz,et al.  Oligopoly, uncertainty and strategic forward transactions , 1992 .

[52]  José Fortuny-Amat,et al.  A Representation and Economic Interpretation of a Two-Level Programming Problem , 1981 .

[53]  Josue Campos do Prado,et al.  A Decision Model for an Electricity Retailer With Energy Storage and Virtual Bidding Under Daily and Hourly CVaR Assessment , 2021, IEEE Access.

[54]  Che-Lin Su,et al.  Analysis on the forward market equilibrium model , 2007, Oper. Res. Lett..

[55]  D. Zhou,et al.  A novel energy cooperation framework for community energy storage systems and prosumers , 2022 .