Federating Smart Cluster Energy Grids for Peer-to-Peer Energy Sharing and Trading

With the rapid growth in clean distributed energy resources involving micro-generation and flexible loads, users can actively manage their own energy and have the capability to enter in a market of energy services as prosumers while reducing their carbon footprint. The coordination between these distributed energy resources is essential in order to ensure fair trading and equality in resource sharing among a community of prosumers. Peer-to-Peer (P2P) networks can provide the underlying mechanisms for supporting such coordination and offer incentives to prosumers to participate in the energy market. In particular, the federation of energy clusters with P2P networks has the potential to unlock access to energy resources and lead to the development of new energy services in a fast-growing sharing energy economy. In this paper, we present the formation and federation of smart energy clusters using P2P networks with a view to decentralise energy markets and enable access and use of clean energy resources. We implement a P2P framework to support the federation of energy clusters and study the interaction of consumers and producers in a market of energy resources and services. We demonstrate how energy exchanges and energy costs in a federation are influenced by the energy demand, the size of energy clusters and energy types. We conduct our modelling and analysis based on a real fish industry case study in Milford Haven, South Wales, as part of the EU H2020 INTERREG piSCES project.

[1]  N. Phuangpornpitak,et al.  Opportunities and Challenges of Integrating Renewable Energy in Smart Grid System , 2013 .

[2]  G. H. Brundtland World Commission on environment and development , 1985 .

[3]  Xinghuo Yu,et al.  Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading , 2018, Applied Energy.

[4]  Gevork B. Gharehpetian,et al.  Optimization of distributed generation capacities in buildings under uncertainty in load demand , 2013 .

[5]  Xu Rong,et al.  A review on distributed energy resources and MicroGrid , 2008 .

[6]  Fulli Gianluca,et al.  Smart Grid Projects in Europe - Lessons Learned and Current Developments , 2011 .

[7]  Athanasios V. Vasilakos,et al.  Enhancing smart grid with microgrids: Challenges and opportunities , 2017 .

[8]  Y. Rezgui,et al.  Analysis and simulation of smart energy clusters and energy value chain for fish processing industries , 2020 .

[9]  Yuan Wu,et al.  Energy management of cooperative microgrids with P2P energy sharing in distribution networks , 2015, 2015 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[10]  Bamidele Adebisi,et al.  Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach , 2020, IEEE Transactions on Smart Grid.

[11]  Saad Mekhilef,et al.  A review on energy saving strategies in industrial sector , 2011 .

[12]  Furong Li,et al.  A Novel Peer-to-Peer Local Electricity Market for Joint Trading of Energy and Uncertainty , 2020, IEEE Transactions on Smart Grid.

[13]  Ulrich Trick,et al.  Energy communities in Smart Markets for optimisation of peer-to-peer interconnected Smart Homes , 2012, 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP).

[14]  Sharon Zukin,et al.  Consumers and Consumption , 2003 .

[15]  Zhenyuan Zhang,et al.  Risk Implemented Simultaneous Game-Theoretic Approach for Energy Trading in Residential Microgrids , 2019, Energy Procedia.

[16]  Bjarne Poulsen,et al.  Electric vehicle fleet integration in the danish EDISON project - A virtual power plant on the island of Bornholm , 2010, IEEE PES General Meeting.

[17]  Nina Mishra,et al.  Estimating the relative utility of networks for predicting user activities , 2013, CIKM.

[18]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[19]  Meng Cheng,et al.  Feasibility of Peer-to-Peer Energy Trading in Low Voltage Electrical Distribution Networks , 2017 .

[20]  Yacine Rezgui,et al.  Agent-Based Appliance Scheduling for Energy Management in Industry 4.0 , 2019, GECON.

[21]  David Hales,et al.  SLACER: randomness to cooperation in peer-to-peer networks , 2005, 2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing.

[22]  Xinghuo Yu,et al.  Energy-Sharing Provider for PV Prosumer Clusters: A Hybrid Approach Using Stochastic Programming and Stackelberg Game , 2018, IEEE Transactions on Industrial Electronics.

[23]  Amit Kumar,et al.  Optimal Energy Sharing Within a Solar-Based DC Microgrid , 2017, SocProS.

[24]  H. Vincent Poor,et al.  A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid , 2019, Applied Energy.

[25]  Kai Strunz,et al.  DC Microgrid for Wind and Solar Power Integration , 2014, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[26]  Enrico Zio,et al.  An integrated framework of agent-based modelling and robust optimization for microgrid energy management , 2014 .

[27]  Zhenhua Jiang,et al.  Hierarchical microgrid paradigm for integration of distributed energy resources , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[28]  Jin-Ding Cai,et al.  A multi-agent system for distributed energy resources control in microgrid , 2010, 2010 5th International Conference on Critical Infrastructure (CRIS).

[29]  Márk Jelasity,et al.  PeerSim: A scalable P2P simulator , 2009, 2009 IEEE Ninth International Conference on Peer-to-Peer Computing.

[30]  Jianhui Wang,et al.  Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response , 2015 .

[31]  Linfeng Zhang,et al.  Energy management in a microgrid with distributed energy resources , 2014 .

[32]  Mohamed E. El-Hawary,et al.  The Smart Grid—State-of-the-art and future trends , 2014, 2016 Eighteenth International Middle East Power Systems Conference (MEPCON).

[33]  H. Vincent Poor,et al.  Energy Storage Sharing in Smart Grid: A Modified Auction-Based Approach , 2015, IEEE Transactions on Smart Grid.

[34]  Dag Henning,et al.  Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility , 2006, Eur. J. Oper. Res..

[35]  Aqeel Ahmed Bazmi,et al.  Sustainable energy systems: Role of optimization modeling techniques in power generation and supply—A review , 2011 .

[36]  Massimiliano Manfren,et al.  Paradigm shift in urban energy systems through distributed generation: Methods and models , 2011 .

[37]  Yacine Rezgui,et al.  A broker based consumption mechanism for social clouds , 2014, CloudCom 2014.

[38]  Anastasios I. Dounis,et al.  Intelligent demand side energy management system for autonomous polygeneration microgrids , 2013 .

[39]  Omer F. Rana,et al.  Service level agreement as a complementary currency in peer-to-peer markets , 2012, Future Gener. Comput. Syst..

[40]  Galen Barbose,et al.  Residential Prosumers: Drivers and Policy Options (Re-Prosumers) , 2014 .

[41]  Wayes Tushar,et al.  Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches , 2018, IEEE Signal Process. Mag..

[42]  B.F. Wollenberg,et al.  Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.

[43]  Jianzhong Wu,et al.  A game theoretic approach for peer to peer energy trading , 2019, Energy Procedia.

[44]  Jatin Nathwani,et al.  Simulation of cogeneration within the concept of smart energy networks , 2013 .

[45]  A. Yassine,et al.  An Auction Mechanism for Profit Maximization of Peer-to-Peer Energy Trading in Smart Grids , 2019, ANT/EDI40.

[46]  Robert B. Wilson,et al.  Research Paper Series Graduate School of Business Stanford University Architecture of Power Markets Architecture of Power Markets 1 , 2022 .

[47]  Márk Jelasity,et al.  Large-Scale Newscast Computing on the Internet , 2002 .

[48]  Nelson Fumo,et al.  Methodology to estimate building energy consumption using EnergyPlus Benchmark Models , 2010 .

[49]  R. Belk Why Not Share Rather Than Own? , 2007 .

[50]  Thillainathan Logenthiran,et al.  Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.

[51]  Wencong Su,et al.  Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources , 2014, IEEE Transactions on Smart Grid.

[52]  Danny Pudjianto,et al.  Virtual power plant and system integration of distributed energy resources , 2007 .

[53]  Alain Bui,et al.  Agent Based Modeling of Ecodistricts with Smart Grid , 2013, Advanced Computational Methods for Knowledge Engineering.

[54]  Pierluigi Mancarella,et al.  Multi-energy systems : An overview of concepts and evaluation models , 2015 .

[55]  Mark Sumner,et al.  Investigating the effects of dynamic demand side management within intelligent Smart Energy communities of future decentralized power system , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[56]  Stefano Bracco,et al.  A system of systems model for the control of the university of Genoa Smart Polygeneration Microgrid , 2012, 2012 7th International Conference on System of Systems Engineering (SoSE).

[57]  Andrea Luigi Facci,et al.  Optimization of CHCP (combined heat power and cooling) systems operation strategy using dynamic programming , 2014 .

[58]  Meng Cheng,et al.  Peer-to-Peer energy trading in a Microgrid , 2018, Applied Energy.

[59]  Stefano Bracco,et al.  An optimization algorithm for the operation planning of the University of Genoa smart polygeneration microgrid , 2013, 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid.

[60]  Thomas Morstyn,et al.  Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants , 2018, Nature Energy.

[61]  Paul J. Werbos,et al.  Computational Intelligence for the Smart Grid-History, Challenges, and Opportunities , 2011, IEEE Computational Intelligence Magazine.

[62]  M. Liserre,et al.  Future Energy Systems: Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics , 2010, IEEE Industrial Electronics Magazine.

[63]  Henrik Madsen,et al.  Virtual Power Plants , 2014 .

[64]  S. Sadjadi,et al.  Optimization methods applied to renewable and sustainable energy: A review , 2017 .

[65]  Tianzhen Hong,et al.  Building simulation: an overview of developments and information sources , 2000 .

[66]  Aristide F. Massardo,et al.  Thermo-economic optimization of the impact of renewable generators on poly-generation smart-grids including hot thermal storage , 2013 .

[67]  Robert U. Ayres Mass, Energy, Efficiency in the US Economy , 2005 .

[68]  P. Holtberg,et al.  International Energy Outlook 2016 With Projections to 2040 , 2016 .

[69]  Cheng Wang,et al.  Energy-Sharing Model With Price-Based Demand Response for Microgrids of Peer-to-Peer Prosumers , 2017, IEEE Transactions on Power Systems.

[70]  Fariborz Haghighat,et al.  Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network , 2010 .

[71]  Furong Li,et al.  Auction Mechanism for P2P Local Energy Trading considering Physical Constraints , 2019, Energy Procedia.

[72]  Shouxiang Wang,et al.  A self-healing reconfiguration technique for smart distribution networks with DGs , 2011, 2011 International Conference on Electrical and Control Engineering.

[73]  Vasilis Kostakis,et al.  A peer-to-peer approach to energy production , 2015 .

[74]  Ruggero Schleicher-Tappeser,et al.  How renewables will change electricity markets in the next five years , 2012 .

[75]  Nitin H. Vaidya,et al.  Resilient Networked Control of Distributed Energy Resources , 2012, IEEE Journal on Selected Areas in Communications.

[76]  Yacine Rezgui,et al.  Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources , 2017 .

[77]  Yacine Rezgui,et al.  Modelling and implementing smart micro-grids for fish-processing industry , 2019, 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[78]  Xi Fang,et al.  3. Full Four-channel 6.3-gb/s 60-ghz Cmos Transceiver with Low-power Analog and Digital Baseband Circuitry 7. Smart Grid — the New and Improved Power Grid: a Survey , 2022 .