Provision of Load Frequency Control by PHEVs, Controllable Loads, and a Cogeneration Unit

This paper presents a method for tracking a secondary frequency control (Load Frequency Control) signal by groups of plug-in hybrid electric vehicles (PHEVs), controllable thermal household appliances under a duty-cycle coordination scheme, and a decentralized combined-heat-and-power generation unit. The distribution of the control action on the participating units is performed by an aggregator utilizing a Model Predictive Control strategy which allows the inclusion of unit and grid constraints. In addition to the individual dynamic behavior, the varying availability of the units during the day is taken into account. The proposed methodology, easily extendable to larger networks, is evaluated on a four-bus system corresponding to a medium-voltage distribution grid and illustrates a possible operation mode of an aggregator in the power system.

[1]  E. Shashi Menon,et al.  Gas pipeline hydraulics , 2005 .

[2]  Johan Efberg,et al.  YALMIP : A toolbox for modeling and optimization in MATLAB , 2004 .

[3]  G. Andersson,et al.  Optimal Power Flow of Multiple Energy Carriers , 2007, IEEE Transactions on Power Systems.

[4]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[5]  Johanna L. Mathieu,et al.  Modeling and Control of Aggregated Heterogeneous Thermostatically Controlled Loads for Ancillary Services , 2011 .

[6]  M. Kintner-Meyer,et al.  Loads Providing Ancillary Services: Review of International Experience , 2008 .

[7]  Ernest Orlando Lawrence,et al.  Loads Providing Ancillary Services: Review of International Experience Technical Appendix: Market Descriptions , 2007 .

[8]  Mats Larsson,et al.  Active Management of Distributed Energy Resources Using Standardized Communications and Modern Information Technologies , 2009, IEEE Transactions on Industrial Electronics.

[9]  Goran Andersson,et al.  An active coordination approach for thermal household appliances — Local communication and calculation tasks in the household , 2009, 2009 IEEE Bucharest PowerTech.

[10]  Kay W. Axhausen,et al.  Plug-in hybrid electric vehicles and smart grids: Investigations based on a microsimulation , 2013 .

[11]  Goran Andersson,et al.  Power system considerations of plug-in hybrid electric vehicles based on a multi energy carrier model , 2009, 2009 IEEE Power & Energy Society General Meeting.

[12]  D. Kirschen,et al.  A Survey of Frequency and Voltage Control Ancillary Services—Part II: Economic Features , 2007, IEEE Transactions on Power Systems.

[13]  G. Andersson,et al.  Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV) , 2008, 2008 IEEE Energy 2030 Conference.

[14]  Brendan Kirby,et al.  Loads Providing Ancillary Services: Review of InternationalExperience-- Technical Appendix: Market Descriptions , 2007 .

[15]  Christoph Maurer,et al.  Dimensioning of secondary and tertiary control reserve by probabilistic methods , 2009 .

[16]  Ali Elkamel,et al.  Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations , 2010, IEEE Transactions on Industrial Electronics.

[17]  Rashid A. Waraich,et al.  Predictive, distributed, hierarchical charging control of PHEVs in the distribution system of a large urban area incorporating a multi agent transportation simulation , 2011 .

[18]  Sandra McLain.  IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS , 2007 .

[19]  Goran Andersson,et al.  On integration of plug-in hybrid electric vehicles into existing power system structures , 2010 .

[20]  Filip Johnsson,et al.  Plug-in hybrid electric vehicles as regulating power providers: Case studies of Sweden and Germany , 2010 .

[21]  Kay W. Axhausen,et al.  Agent-Based Demand-Modeling Framework for Large-Scale Microsimulations , 2006 .

[22]  Goran Andersson,et al.  Integration of Plug-In Hybrid Electric Vehicles into energy networks , 2009, 2009 IEEE Bucharest PowerTech.

[23]  Johan Löfberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004 .

[24]  Rashid A. Waraich,et al.  Plug-in Hybrid Electric Vehicles and Smart Grid , 2009 .

[25]  Stephan Koch,et al.  Active Coordination of Thermal Household Appliances for Load Management Purposes , 2009 .

[26]  Thomas H. Bradley,et al.  The effect of communication architecture on the availability, reliability, and economics of plug-in hybrid electric vehicle-to-grid ancillary services , 2010 .

[27]  Philip G. Hill,et al.  Power generation , 1927, Journal of the A.I.E.E..

[28]  Martin Braun,et al.  A REVIEW ON AGGREGATION APPROACHES OF CONTROLLABLE DISTRIBUTED ENERGY UNITS IN ELECTRICAL POWER SYSTEMS , 2008 .

[29]  Goran Andersson,et al.  Investigating PHEV wind balancing capabilities using heuristics and model predictive control , 2010, IEEE PES General Meeting.

[30]  Goran Andersson,et al.  General frequency control with aggregated control reserve capacity from time-varying sources: The case of PHEVs , 2010, 2010 IREP Symposium Bulk Power System Dynamics and Control - VIII (IREP).

[31]  Willett Kempton,et al.  Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy , 2005 .

[32]  Stephan Koch,et al.  Potentials and applications of coordinated groups of thermal household appliances for power system control purposes , 2009, 2009 IEEE PES/IAS Conference on Sustainable Alternative Energy (SAE).

[33]  Kai Nagel,et al.  Large-Scale Multi-Agent Simulations for Transportation Applications , 2004, J. Intell. Transp. Syst..

[34]  D. Kirschen,et al.  A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features , 2007, IEEE Transactions on Power Systems.

[35]  Duncan S. Callaway.  Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy , 2009 .

[36]  Srdjan M. Lukic,et al.  Energy Storage Systems for Automotive Applications , 2008, IEEE Transactions on Industrial Electronics.