Peer-to-peer market clearing framework for DERs using knapsack approximation algorithm

Rapid uptake of distributed energy resources (DER) requires a new market platform for their active participation to manage energy balance locally. This paper proposes a new Peer to Peer (P2P) market in transactive energy (TE) framework for trading energy among distributed residential prosumers. P2P market is used to enable DERs to trade energy in a distribution network. DERs in the form of residential prosumers decide to buy and/or sell energy to/from other prosumers through an auction. A knapsack approximation algorithm is proposed and the mechanism of market clearing is presented to maximize the economic surplus for a given DER owner in the auction. Residential prosumers, if acting as a seller, use a Battery Energy Storage System (BESS) for storing renewable energy and evaluate the amount of energy that can be appropriately bid in a given time interval. Numerical results depict that using the proposed framework increases the economic surplus of DER owners in the market.

[1]  Toru Namerikawa,et al.  Optimal power demand management among consumers with aggregator considering state and control constraints , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[2]  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).

[3]  Judith B. Cardell,et al.  Distributed energy resources in electricity markets: The price droop mechanism , 2010, 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[4]  Y. Mishra,et al.  A novel real time pricing scheme for demand response in residential distribution systems , 2013, IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society.

[5]  G. Ledwich,et al.  The operating schedule for battery energy storage companies in electricity market , 2013 .

[6]  Dirk Neumann,et al.  A Market Mechanism for Energy Allocation in Micro-CHP Grids , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[7]  A. Heshmati,et al.  Market Design for Trading Commoditized Renewable Energy , 2015 .

[8]  Mark Knight,et al.  The View from the Top of the Mountain: Building a Community of Practice with the GridWise Transactive Energy Framework , 2016, IEEE Power and Energy Magazine.

[9]  Toru Namerikawa,et al.  Distributed power supply-demand management based on negawatt trading with energy storage system , 2016, 2016 European Control Conference (ECC).

[10]  Chris King Transactive Energy: Linking Supply and Demand Through Price Signals , 2014 .

[11]  Tao Chen,et al.  Consensus-based distributed control for economic operation of distribution grid with multiple consumers and prosumers , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[12]  Marion Lauriere An algorithm for the 0/1 Knapsack problem , 1978, Math. Program..

[14]  Brendan Kirby,et al.  Impact of variable renewable energy on US electricity markets , 2010, IEEE PES General Meeting.

[15]  Koushik Kar,et al.  Extended Second Price Auctions With Elastic Supply for PEV Charging in the Smart Grid , 2016, IEEE Transactions on Smart Grid.

[16]  J. Cherni,et al.  Renewable energy policy and electricity market reforms in China , 2007 .

[17]  B. Buchholz,et al.  Energy management in distribution grids European cases , 2006, 2006 IEEE Power Engineering Society General Meeting.

[18]  Haidar Samet,et al.  Protection of Ring Distribution Networks with Distributed Generation Based on Petri Nets , 2013 .