An auction-based smart district heating grid

A district heating grid is a hot water pipeline grid used to transmit waste heat from CHP (Combined Heat and Power) production plants to buildings, where it is used for service water and space heating. Currently, broad use of district heating is limited to Northern Europe and some regions in Central Europe, but the European Union Energy Efficiency Directive 2012/27/EU and Energy Performance of Buildings Directive 2010/31/EU drive the widespread adoption of this technology in member states. Further, these directives push the introduction of significant renewable local energy production into these grids, creating a need for a smart district heating grid that is in many ways analogous to the smart electric grid. One major difference is that in a hot water pipeline grid, there are significant delays in energy propagation, so algorithms developed for the smart electric grid are not directly applicable. In this paper, an auction based heat trade mechanism is proposed between an auctioneer agent representing the CHP plant operator and prosumer agents representing end users with local solar thermal generation capacity. A predictive simulation is used by an auctioneer to account for the said delays in energy production and to determine the market price that best satisfies the performance indicators defined by the CHP plant operator. The proposed multi-agent system is demonstrated by co-simulating it against a model of a part of a Finnish municipality's district heating grid.

[1]  Santiago Grijalva,et al.  Game-Theoretic Formulation of Power Dispatch With Guaranteed Convergence and Prioritized BestResponse , 2015, IEEE Transactions on Sustainable Energy.

[2]  Seppo Sierla,et al.  Co-simulation of a dynamic process simulator and an event-based control system: Case district heating system , 2014, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).

[3]  G. P. Beretta,et al.  Optimal power production scheduling in a complex cogeneration system with heat storage , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[4]  Paul R. Milgrom,et al.  Auctions and Bidding: A Primer , 1989 .

[5]  Pierluigi Mancarella,et al.  Energy and economic evaluation of power systems with heat networks , 2009 .

[6]  J. Verstege,et al.  Committing and dispatching power units and storage devices in cogeneration systems with renewable energy sources , 1996 .

[7]  R.S. Adhikari,et al.  Solar photovoltaic and thermal systems for electricity generation, space heating and domestic hot water in a residential building , 2011, 2011 International Conference on Clean Electrical Power (ICCEP).

[8]  Peter Palensky,et al.  Co-simulation of components, controls and power systems based on open source software , 2013, 2013 IEEE Power & Energy Society General Meeting.

[9]  Daniele Pala,et al.  An adaptive, agent-based protection scheme for radial distribution networks based on IEC 61850 and IEC 61499 , 2012 .

[10]  Guo Han-Ding,et al.  Probe into City District Heating Price Management Under Franchising System , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[11]  A. Snijders,et al.  Recent Inter-seasonal Underground Thermal Energy Storage Applications in Canada , 2006, 2006 IEEE EIC Climate Change Conference.

[12]  Jonas Gloeckner,et al.  The Double Auction Market Institutions Theories And Evidence , 2016 .

[13]  Valeriy Vyatkin,et al.  Cosimulation Environment for Event-Driven Distributed Controls of Smart Grid , 2013, IEEE Transactions on Industrial Informatics.

[14]  Chen-Wei Yang,et al.  Towards an IEC 61499 compliance profile for smart grids review and analysis of possibilities , 2012, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society.

[15]  Valeriy Vyatkin,et al.  Distributed Power System Automation With IEC 61850, IEC 61499, and Intelligent Control , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[16]  Preben Maegaard Balancing fluctuating power sources , 2010, 2010 World Non-Grid-Connected Wind Power and Energy Conference.

[17]  Frank L. Lewis,et al.  A Distributed Auction-Based Algorithm for the Nonconvex Economic Dispatch Problem , 2014, IEEE Transactions on Industrial Informatics.

[18]  Matthias Stifter,et al.  Applying open standards and open source software for smart grid applications: Simulation of distributed intelligent control of power systems , 2011, 2011 IEEE Power and Energy Society General Meeting.

[19]  Chen-Wei Yang,et al.  Intelligent IEC 61850/61499 logical nodes for smart metering , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[20]  Alfredo Vaccaro,et al.  Decentralized Economic Dispatch in Smart Grids by Self-Organizing Dynamic Agents , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[21]  Valeriy Vyatkin,et al.  Virtual smart metering in automation and simulation of energy-efficient lighting system , 2013, 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA).

[22]  G. Andersson,et al.  Optimal Coupling of Energy Infrastructures , 2007, 2007 IEEE Lausanne Power Tech.

[23]  David A. Cartes,et al.  An Intelligent Auction Scheme for Smart Grid Market Using a Hybrid Immune Algorithm , 2011, IEEE Transactions on Industrial Electronics.

[24]  P. Mancarella Distributed multi-generation options to increase environmental efficiency in smart cities , 2012, 2012 IEEE Power and Energy Society General Meeting.

[25]  Rita Streblow,et al.  New energy concepts and related information technologies: Dual Demand Side Management , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[26]  Christopher J. C. Williams,et al.  Demand side management through heat pumps, thermal storage and battery storage to increase local self-consumption and grid compatibility of PV systems , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[27]  Pernille M. Overbye CHP & district heating with thermal storage , 2007 .

[28]  Xiaoyan Zou,et al.  Double-sided auction mechanism design in electricity based on maximizing social welfare , 2009 .

[29]  R. Ramirez-Iniguez,et al.  Renewable heat incentive for solar thermal systems in the United Kingdom: The next big thing? , 2012, 2012 IEEE International Conference on Power and Energy (PECon).

[30]  V. Vyatkin,et al.  Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes , 2012, IEEE Transactions on Industrial Electronics.

[31]  Seppo Sierla,et al.  Hybrid modeling and co-simulation of district heating systems with distributed energy resources , 2014, 2014 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).