Energy Storage Sharing in Smart Grid: A Modified Auction-Based Approach

This paper studies the solution of joint energy storage (ES) ownership sharing between multiple shared facility controllers (SFCs) and those dwelling in a residential community. The main objective is to enable the residential units (RUs) to decide on the fraction of their ES capacity that they want to share with the SFCs of the community in order to assist them in storing electricity, e.g., for fulfilling the demand of various shared facilities. To this end, a modified auction-based mechanism is designed that captures the interaction between the SFCs and the RUs so as to determine the auction price and the allocation of ES shared by the RUs that governs the proposed joint ES ownership. The fraction of the capacity of the storage that each RU decides to put into the market to share with the SFCs and the auction price are determined by a noncooperative Stackelberg game formulated between the RUs and the auctioneer. It is shown that the proposed auction possesses the incentive compatibility and the individual rationality properties, which are leveraged via the unique Stackelberg equilibrium solution of the game. Numerical experiments are provided to confirm the effectiveness of the proposed scheme.

[1]  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 .

[2]  Eleonora Riva Sanseverino,et al.  A Generalized Framework for Optimal Sizing of Distributed Energy Resources in Micro-Grids Using an Indicator-Based Swarm Approach , 2014, IEEE Transactions on Industrial Informatics.

[3]  Yan Zhang,et al.  Demand Response Management With Multiple Utility Companies: A Two-Level Game Approach , 2014, IEEE Transactions on Smart Grid.

[4]  Chau Yuen,et al.  Electricity Cost Minimization for a Microgrid With Distributed Energy Resource Under Different Information Availability , 2015, IEEE Transactions on Industrial Electronics.

[5]  Tao Jiang,et al.  Reducing Electricity Cost of Smart Appliances via Energy Buffering Framework in Smart Grid , 2012, IEEE Transactions on Parallel and Distributed Systems.

[6]  Shengli Xie,et al.  PHEV Charging and Discharging Cooperation in V2G Networks: A Coalition Game Approach , 2014, IEEE Internet of Things Journal.

[7]  Paul Denholm,et al.  Role of Energy Storage with Renewable Electricity Generation , 2010 .

[8]  Chau Yuen,et al.  Peak-to-Average Ratio Constrained Demand-Side Management With Consumer's Preference in Residential Smart Grid , 2014, IEEE Journal of Selected Topics in Signal Processing.

[9]  Gerard J. M. Smit,et al.  Value of Storage in Distribution Grids—Competition or Cooperation of Stakeholders? , 2013, IEEE Transactions on Smart Grid.

[10]  Chau Yuen,et al.  Queuing-Based Energy Consumption Management for Heterogeneous Residential Demands in Smart Grid , 2016, IEEE Transactions on Smart Grid.

[11]  Walid Saad,et al.  A noncooperative game for double auction-based energy trading between PHEVs and distribution grids , 2011, 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[12]  H. Vincent Poor,et al.  Price Discrimination for Energy Trading in Smart Grid: A Game Theoretic Approach , 2015, IEEE Transactions on Smart Grid.

[13]  Thomas H. Bradley,et al.  Design, demonstrations and sustainability impact assessments for plug-in hybrid electric vehicles , 2009 .

[14]  Lingfeng Wang,et al.  Integration of Plug-in Hybrid Electric Vehicles into Residential Distribution Grid Based on Two-Layer Intelligent Optimization , 2014, IEEE Transactions on Smart Grid.

[15]  Miguel Cruz-Zambrano,et al.  Optimal Energy Management for a Residential Microgrid Including a Vehicle-to-Grid System , 2014, IEEE Transactions on Smart Grid.

[16]  H. Vincent Poor,et al.  Prioritizing Consumers in Smart Grid: A Game Theoretic Approach , 2013, IEEE Transactions on Smart Grid.

[17]  Guido Carpinelli,et al.  Optimal Integration of Distributed Energy Storage Devices in Smart Grids , 2013, IEEE Transactions on Smart Grid.

[18]  P. Klemperer Auction Theory: A Guide to the Literature , 1999 .

[19]  A. Tsikalakis,et al.  Feed-in tariffs for promotion of energy storage technologies , 2011 .

[20]  Jiming Chen,et al.  Data gathering optimization by dynamic sensing and routing in rechargeable sensor networks , 2013, 2013 IEEE International Conference on Sensing, Communications and Networking (SECON).

[21]  Wayes Tushar,et al.  Quantifying economic benefits in the ancillary electricity market for smart appliances in Singapore households , 2015 .

[22]  Lazaros Gkatzikis,et al.  The Role of Aggregators in Smart Grid Demand Response Markets , 2013, IEEE Journal on Selected Areas in Communications.

[23]  Hongbin Sun,et al.  Active Demand Response Using Shared Energy Storage for Household Energy Management , 2013, IEEE Transactions on Smart Grid.

[24]  Wang Qianggang,et al.  Study on the proportional allocation of electric vehicles with conventional and fast charge methods when in distribution network , 2012, 2012 China International Conference on Electricity Distribution.

[25]  Johan Driesen,et al.  Apartment Building Electricity System Impact of Operational Electric Vehicle Charging Strategies , 2014, IEEE Transactions on Sustainable Energy.

[26]  Johan Driesen,et al.  Integration of energy storage in distribution grids , 2010, IEEE PES General Meeting.

[27]  Luis M. Fernández,et al.  ANFIS-Based Control of a Grid-Connected Hybrid System Integrating Renewable Energies, Hydrogen and Batteries , 2014, IEEE Transactions on Industrial Informatics.

[28]  Wayes Tushar,et al.  Demand Response Management for Residential Smart Grid: From Theory to Practice , 2015, IEEE Access.

[29]  Fabrice Locment,et al.  Building Integrated Photovoltaic System With Energy Storage and Smart Grid Communication , 2013, IEEE Transactions on Industrial Electronics.

[30]  H. Vincent Poor,et al.  Three-Party Energy Management With Distributed Energy Resources in Smart Grid , 2014, IEEE Transactions on Industrial Electronics.

[31]  Walid Saad,et al.  Economics of Electric Vehicle Charging: A Game Theoretic Approach , 2012, IEEE Transactions on Smart Grid.

[32]  Alan Scheller-Wolf,et al.  Design of a Multi–Unit Double Auction E–Market , 2002, Comput. Intell..

[33]  Wayes Tushar,et al.  Understanding Customer Behavior in Multi-Tier Demand Response Management Program , 2015, IEEE Access.

[34]  H. Vincent Poor,et al.  Cost Minimization of Charging Stations With Photovoltaics: An Approach With EV Classification , 2015, IEEE Transactions on Intelligent Transportation Systems.

[35]  Quanyan Zhu,et al.  Dependable Demand Response Management in the Smart Grid: A Stackelberg Game Approach , 2013, IEEE Transactions on Smart Grid.

[36]  Rajkumar Roy,et al.  Bi-level optimisation using genetic algorithm , 2002, Proceedings 2002 IEEE International Conference on Artificial Intelligence Systems (ICAIS 2002).

[37]  Victor O. K. Li,et al.  Optimal Scheduling With Vehicle-to-Grid Regulation Service , 2014, IEEE Internet of Things Journal.

[38]  Ling Shi,et al.  Optimal DoS Attack Scheduling in Wireless Networked Control System , 2016, IEEE Transactions on Control Systems Technology.

[39]  Wayes Tushar,et al.  Customer Engagement Plans for Peak Load Reduction in Residential Smart Grids , 2015, IEEE Transactions on Smart Grid.

[40]  Zhu Han,et al.  Incentive Mechanism for Demand Side Management in Smart Grid Using Auction , 2014, IEEE Transactions on Smart Grid.

[41]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .

[42]  Vincent W. S. Wong,et al.  Optimal Real-Time Pricing Algorithm Based on Utility Maximization for Smart Grid , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[43]  Shaolei Ren,et al.  Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid , 2013, IEEE Journal on Selected Areas in Communications.

[44]  Zhenpo Wang,et al.  Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems , 2013, IEEE Transactions on Power Delivery.

[45]  Chau Yuen,et al.  Framework for minimum user participation rate determination to achieve specific demand response management objectives in residential smart grids , 2016 .

[46]  Xiaoming Chen,et al.  Cost-aware demand scheduling for delay tolerant applications , 2015, J. Netw. Comput. Appl..

[47]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .