A transactive energy modelling and assessment framework for demand response business cases in smart distributed multi-energy systems
暂无分享,去创建一个
Pierluigi Mancarella | Nicholas Good | Eduardo Alejandro Martinez Cesena | Christopher Heltorp | P. Mancarella | N. Good | E. A. Martínez Ceseña | Christopher Heltorp
[1] J. Goodman. Note on Existence and Uniqueness of Equilibrium Points for Concave N-Person Games , 1965 .
[2] F. Rahimi,et al. Transactive Energy Techniques: Closing the Gap between Wholesale and Retail Markets , 2012 .
[3] Pierluigi Mancarella,et al. Probabilistic modeling and assessment of the impact of electric heat pumps on low voltage distribution networks , 2014 .
[4] Pierluigi Mancarella,et al. Automated Demand Response From Home Energy Management System Under Dynamic Pricing and Power and Comfort Constraints , 2015, IEEE Transactions on Smart Grid.
[5] Pierluigi Mancarella,et al. Optimization under uncertainty of thermal storage-based flexible demand response with quantification of residential users' discomfort , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).
[6] Pierluigi Mancarella,et al. Distribution network reinforcement planning considering demand response support , 2014, 2014 Power Systems Computation Conference.
[7] L. Guzzella,et al. Control of hybrid electric vehicles , 2007, IEEE Control Systems.
[8] Jim Watson,et al. Co-provision in sustainable energy systems: the case of micro-generation , 2004 .
[9] J. Lilliestam,et al. Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition? , 2016 .
[10] P. Mancarella,et al. Techno-economic and business case assessment of low carbon technologies in distributed multi-energy systems , 2016 .
[11] Ankur A. Kulkarni,et al. Games and teams with shared constraints , 2017, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[12] Paul Smith,et al. Studying the Maximum Instantaneous Non-Synchronous Generation in an Island System—Frequency Stability Challenges in Ireland , 2014, IEEE Transactions on Power Systems.
[13] Pierluigi Mancarella,et al. Techno‐Economic Analysis of Demand Response , 2015 .
[14] Sarah C. Darby,et al. University of Reading and University of Oxford response to the Ofgem Consultation 'Creating the right environment for demand-side response' , 2013 .
[15] Michael Negnevitsky,et al. Pool-Based Demand Response Exchange—Concept and Modeling , 2011, IEEE Transactions on Power Systems.
[16] Nicholas Good,et al. Energy efficiency at the building and district levels in a multi-energy context , 2016, 2016 IEEE International Energy Conference (ENERGYCON).
[17] Pierluigi Mancarella,et al. Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options , 2014 .
[18] Adam Hawkes,et al. Energy systems modeling for twenty-first century energy challenges , 2014 .
[19] Alejandro Navarro-Espinosa,et al. Probabilistic Impact Assessment of Low Carbon Technologies in LV Distribution Systems , 2016, IEEE Transactions on Power Systems.
[20] Pierluigi Mancarella,et al. Multi-energy systems : An overview of concepts and evaluation models , 2015 .
[21] P. Mancarella,et al. Decentralized Participation of Flexible Demand in Electricity Markets—Part II: Application With Electric Vehicles and Heat Pump Systems , 2013, IEEE Transactions on Power Systems.
[22] Damian Flynn,et al. Analysing the impact of large-scale decentralised demand side response on frequency stability , 2016 .
[23] B. Daryanian,et al. Optimal Demand-Side Response to Electricity Spot Prices for Storage-Type Customers , 1989, IEEE Power Engineering Review.
[24] Pierluigi Mancarella,et al. Real-Time Demand Response From Energy Shifting in Distributed Multi-Generation , 2013, IEEE Transactions on Smart Grid.
[25] Pierluigi Mancarella,et al. Modelling and assessment of business cases for smart multi-energy districts , 2016, 2016 Power Systems Computation Conference (PSCC).
[26] Jaap Gordijn,et al. Business models for distributed generation in a liberalized market environment , 2007 .
[27] Goran Strbac,et al. A MILP model for optimising multi-service portfolios of distributed energy storage , 2015 .
[28] Igor Kuzle,et al. Low carbon technologies as providers of operational flexibility in future power systems , 2016, Applied Energy.
[29] Pierluigi Mancarella,et al. Modelling, assessment and Sankey diagrams of integrated electricity-heat-gas networks in multi-vector district energy systems , 2016 .
[30] Zuo-Jun Max Shen,et al. Sharing demand-side energy resources - A conceptual design , 2017 .
[31] Pierluigi Mancarella,et al. Flexibility in Multi-Energy Communities With Electrical and Thermal Storage: A Stochastic, Robust Approach for Multi-Service Demand Response , 2019, IEEE Transactions on Smart Grid.
[32] Nicholas Good,et al. Review and classification of barriers and enablers of demand response in the smart grid , 2017 .
[33] Jim Watson,et al. Strategies for the deployment of micro-generation: Implications for social acceptance , 2007 .
[34] Stephen Hall,et al. Business model innovation in electricity supply markets: The role of complex value in the United Kingdom , 2016 .
[35] Jianzhong Wu,et al. Flexible Demand in the GB Domestic Electricity Sector in 2030 , 2015 .
[36] Mark O'Malley,et al. Challenges and barriers to demand response deployment and evaluation , 2015 .
[37] Pierluigi Mancarella,et al. Electrical network capacity support from demand side response: Techno-economic assessment of potential business cases for small commercial and residential end-users , 2015 .