Co-simulation of a dynamic process simulator and an event-based control system: Case district heating system

A smart electric grid incorporating local generation and storage is an area of active research in the industrial automation community. Very little attention has been given to similar possibilities in hot water grids that are used extensively for district heating in several countries, especially in Central and Northern Europe. In this paper, possibilities for heat trade in such a grid are investigated through simulation, considering the thermo-hydraulic properties of such a grid. For the distributed automation of several independent producer-consumers, an event based IEC 61499 solution is presented. The paper proposes a co-simulation environment for a dynamic process simulator and an event based control system, which is applied to the district heating case.

[1]  Matias Halinen,et al.  Dynamic Model of 5kW SOFC CHP Test Station , 2007 .

[2]  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).

[3]  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).

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

[5]  Matti Paananen,et al.  Investigations of a Long-Distance 1000 MW Heat Transport System with APROS Simulation Software , 2009 .

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

[7]  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.

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

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

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

[11]  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).

[12]  Jouni Savolainen,et al.  EXPERIENCES ON UTILISING PLANT SCALE DYNAMIC SIMULATION IN PROCESS INDUSTRY , 2005 .

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

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

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

[16]  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.

[17]  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).

[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]  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).

[20]  Jari Lappalainen,et al.  A multi-purpose tool for dynamic simulation of paper mills , 1998, Simul. Pract. Theory.

[21]  Kari Sipilä,et al.  Technical features for heat trade in distributed energy generation , 2005 .

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

[23]  Janet Marsden,et al.  Distributed Generation Systems: A New Paradigm for Sustainable Energy , 2011, 2011 IEEE Green Technologies Conference (IEEE-Green).

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

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

[26]  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).

[27]  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.

[28]  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).

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