Peer-to-Peer Energy Sharing: Effective Cost-Sharing Mechanisms and Social Efficiency

P2P (peer-to-peer) energy sharing allows household users to share their local energy resources (e.g., rooftop PVs, home batteries) based on an agreed cost-sharing mechanism (e.g., implemented as a smart contract over a blockchain ledger). Sharing energy resources is becoming a new form of sharing economy. This not only promotes renewable energy adoption among household users but also optimizes their energy resources efficiently. However, household users are self-interested and incentive-driven. It is not clear how to motivate them to team up for energy sharing, and what proper economic mechanisms are to incentivize them to do so in a socially efficient way. This paper sheds light on the economic principles of cost-sharing mechanisms for P2P energy sharing. We investigate P2P energy sharing scenarios of direct connections and grid settlement with simple cost-sharing mechanisms (e.g., proportional-split, bargaining games), and the subsequent stable coalitions, such that no group of users will deviate to form other coalitions. We characterize the social efficiency of P2P energy sharing by the strong price of anarchy that compares the worst-case stable coalitions and a social optimum. We show that the strong price of anarchy is mild, both in practice (by an extensive data analysis on a real-world P2P energy sharing project) and in theory (by a small bound in general settings). This can hence bolster the viability of P2P energy sharing.

[1]  Sylvie Thiébaux,et al.  Network-Aware Coordination of Residential Distributed Energy Resources , 2019, IEEE Transactions on Smart Grid.

[2]  Srinivasan Keshav,et al.  The impact of electricity pricing schemes on storage adoption in Ontario , 2012, 2012 Third International Conference on Future Systems: Where Energy, Computing and Communication Meet (e-Energy).

[3]  Christof Weinhardt,et al.  Designing microgrid energy markets A case study: The Brooklyn Microgrid , 2018 .

[4]  Sijie CHEN,et al.  From demand response to transactive energy: state of the art , 2017 .

[5]  Martin Hoefer,et al.  Hedonic Coalition Formation in Networks , 2015, AAAI.

[6]  Henricus Emerence David Houba Game theoretic models of bargaining , 1994 .

[7]  Khaled M. Elbassioni,et al.  Quantifying Inefficiency of Fair Cost-Sharing Mechanisms for Sharing Economy , 2015, IEEE Transactions on Control of Network Systems.

[8]  R. Basselier,et al.  The Rise of the Sharing Economy , 2023, BCP Business & Management.

[9]  Elliot Anshelevich,et al.  Anarchy, stability, and utopia: creating better matchings , 2009, Autonomous Agents and Multi-Agent Systems.

[10]  Tim Roughgarden,et al.  Quantifying inefficiency in cost-sharing mechanisms , 2009, JACM.

[11]  Tim Roughgarden,et al.  The price of stability for network design with fair cost allocation , 2004, 45th Annual IEEE Symposium on Foundations of Computer Science.

[12]  Tim Roughgarden,et al.  Network Cost-Sharing without Anonymity , 2014, TEAC.

[13]  Michael Wooldridge,et al.  Computational Aspects of Cooperative Game Theory , 2011, KES-AMSTA.

[14]  Susanne Albers,et al.  On‐Line Algorithms , 2013 .

[15]  Yishay Mansour,et al.  Strong equilibrium in cost sharing connection games , 2007, EC '07.

[16]  Scott W. Kennedy,et al.  A Novel Demand Response Model with an Application for a Virtual Power Plant , 2015, IEEE Transactions on Smart Grid.

[17]  Pravin Varaiya,et al.  The Sharing Economy for the Electricity Storage , 2019, IEEE Transactions on Smart Grid.

[18]  Éva Tardos,et al.  Near-optimal network design with selfish agents , 2003, STOC '03.

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

[20]  Pravin Varaiya,et al.  Sharing electricity storage , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[21]  Haris Aziz,et al.  Existence of stability in hedonic coalition formation games , 2012, AAMAS.

[22]  Chongqing Kang,et al.  Decision-Making Models for the Participants in Cloud Energy Storage , 2018, IEEE Transactions on Smart Grid.

[23]  Christof Weinhardt,et al.  Designing microgrid energy markets , 2018 .

[24]  Éva Tardos,et al.  Near-Optimal Network Design with Selfish Agents , 2008, Theory Comput..

[25]  Martin Hoefer,et al.  Strategic cooperation in cost sharing games , 2010, Int. J. Game Theory.

[26]  Martin Hoefer,et al.  Friendship and Stable Matching , 2013, ESA.

[27]  B. Peleg,et al.  Introduction to the Theory of Cooperative Games , 1983 .

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

[29]  Michael Wooldridge,et al.  Computational Aspects of Cooperative Game Theory (Synthesis Lectures on Artificial Inetlligence and Machine Learning) , 2011 .

[30]  Minghua Chen,et al.  Online energy generation scheduling for microgrids with intermittent energy sources and co-generation , 2012, SIGMETRICS '13.

[31]  Max Klimm,et al.  Sharing Non-anonymous Costs of Multiple Resources Optimally , 2015, CIAC.

[32]  Allan Borodin,et al.  Online computation and competitive analysis , 1998 .

[33]  Tobias Harks,et al.  Optimal cost sharing for capacitated facility location games , 2014, Eur. J. Oper. Res..

[34]  Minghua Chen,et al.  Cost Minimizing Online Algorithms for Energy Storage Management With Worst-Case Guarantee , 2015, IEEE Transactions on Smart Grid.

[35]  Tim Roughgarden,et al.  Algorithmic Game Theory , 2007 .

[36]  Prashant J. Shenoy,et al.  vSolar: Virtualizing Community Solar and Storage for Energy Sharing , 2018, e-Energy.

[37]  Vincent W. S. Wong,et al.  Direct Electricity Trading in Smart Grid: A Coalitional Game Analysis , 2014, IEEE Journal on Selected Areas in Communications.

[38]  Susanne Albers,et al.  On the value of coordination in network design , 2008, SODA '08.

[39]  Minghua Chen,et al.  Online microgrid energy generation scheduling revisited: the benefits of randomization and interval prediction , 2016, e-Energy.

[40]  Michal Feldman,et al.  Capacitated Network Design Games , 2012, Theory of Computing Systems.

[41]  Meng Cheng,et al.  A Bidding System for Peer-to-Peer Energy Trading in a Grid-connected Microgrid , 2016 .

[42]  Yishay Mansour,et al.  Strong equilibrium in cost sharing connection games , 2007, EC '07.