A co-ordinated dispatch model for electricity and heat in a Microgrid via particle swarm optimization

This paper develops a co-ordinated electricity and heat dispatching model for a Microgrid under a day-ahead environment. In addition to operational constraints, network loss and physical limits are addressed in this model, which were always ignored in previous work. As an important component of the Microgrid, a detailed combined heat and power (CHP) model is developed. The part load performance of CHP is modelled by a curve fitting method. Furthermore, an electric heater is introduced into the model to improve the economy of the Microgrid operation and enhance the flexibility of the Microgrid by electricity–heat conversion. Particle swarm optimization is employed to solve this model for the operation schedule to minimize the total operational cost of the Microgrid by co-ordinating the CHP, electric heater, boiler and heat storage. The efficacy of the model and methodology is verified with different operation scenarios.

[1]  S. M. Moghaddas-Tafreshi,et al.  Integration of distributed energy resources into low voltage grid: A market-based multiperiod optimization model , 2010 .

[2]  Chris Marnay,et al.  Distributed energy resources customer adoption modeling with combined heat and power applications , 2003 .

[3]  Q. H. Wu,et al.  Biologically inspired optimization: a review , 2009 .

[4]  Yijia Cao,et al.  A Coordinated Heat and Electricity Dispatching Model for Microgrid Operation via PSO , 2010, ICSEE 2010.

[5]  Zhenhua Jiang,et al.  Hierarchical microgrid paradigm for integration of distributed energy resources , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[6]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[7]  F. Pilo,et al.  Optimal participation of a microgrid to the energy market with an intelligent EMS , 2006, 2005 International Power Engineering Conference.

[8]  Barbara Praetorius,et al.  Micro Cogeneration: Towards Decentralized Energy Systems , 2005 .

[9]  Adam Hawkes,et al.  Modelling high level system design and unit commitment for a microgrid , 2009 .

[10]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[11]  Jun Zhang,et al.  Adaptive Particle Swarm Optimization , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[12]  Yunlong Zhu,et al.  Information entropy based interaction model and optimization method for swarm intelligence , 2009 .

[13]  A. Akhil.  The CERTS MicroGrid Concept , 2002 .

[14]  Jianzhong Wu,et al.  Integrated optimal power flow for electric power and heat in a MicroGrid , 2009 .

[15]  Nikos D. Hatziargyriou,et al.  Centralized Control for Optimizing Microgrids Operation , 2008 .

[16]  T.C. Green,et al.  Fuel consumption minimization of a microgrid , 2005, IEEE Transactions on Industry Applications.

[17]  R. Iravani,et al.  Microgrids management , 2008, IEEE Power and Energy Magazine.

[18]  W. H. Kersting,et al.  Radial distribution test feeders , 1991, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).