Supervisory control design for systems of multiple sources of energy

Abstract This paper describes a supervisory control strategy for electrical energy transfers in multisource renewable energy systems. The sources are coupled onto a DC bus through DC/DC power converters. The aim is to control the energy transfers, according to the sources power and load variations. The controller determines the operating mode of the system. Then, it calculates the power ratio provided by each source and drives the DC/DC power converters with local current and voltage loops in order to regulate the voltage on the DC bus according to a reference value. The main contributions are to use the duty cycle values of the DC/DC power converters as decision criteria to switch the power sources and drive the power ratios, and to present the complete strategy in a single hierarchical control scheme with three stages. A non linear model of the closed loop system is also detailed in order to work out sufficient conditions for asymptotic stability. Finally, the proposed control scheme is validated with an experimental device developed by GREAH Research Group for the control of energy transfers in multi-source renewable energy systems.

[1]  Karel Jezernik,et al.  Discrete-event switching control for buck converter based on the FPGA , 2011 .

[2]  Chih-Min Lin,et al.  Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters , 2005 .

[3]  Henrik W. Bindner,et al.  Modelling Supervisory Controller for Hybrid Power Systems , 1999 .

[4]  F. Valenciaga,et al.  Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy , 2005, IEEE Transactions on Energy Conversion.

[5]  Saifur Rahman,et al.  A decision support technique for the design of hybrid solar-wind power systems , 1998 .

[6]  A. El Aroudi,et al.  Robust optimal control of bilinear DC–DC converters , 2011 .

[7]  Geoffrey R. Walker,et al.  Evaluating MPPT Converter Topologies Using a Matlab PV Model , 2000 .

[8]  P. Ramadge,et al.  Supervisory control of a class of discrete event processes , 1987 .

[9]  José Luis Guzmán,et al.  A switching control strategy applied to a solar collector field , 2011 .

[10]  François Guerin,et al.  Hybrid Modeling for Performance Evaluation of Multisource Renewable Energy Systems , 2011, IEEE Transactions on Automation Science and Engineering.

[11]  Da Rosa,et al.  Fundamentals of renewable energy processes , 2005 .

[12]  Chemmangot Nayar,et al.  An optimum dispatch strategy using set points for a photovoltaic (PV)–diesel–battery hybrid power system , 1999 .

[13]  Dimitri Lefebvre,et al.  Three stages control strategy for hybrid electrical energy systems , 2009 .

[14]  Fouad Giri,et al.  Climatic sensorless maximum power point tracking in PV generation systems , 2011 .

[15]  Aurelio García-Cerrada,et al.  Design and comparison of state-feedback and predictive-integral current controllers for active- and reactive-power control in renewable energy systems , 2009 .

[16]  Rodolfo Dufo-López,et al.  Design and control strategies of PV-Diesel systems using genetic algorithms , 2005 .

[17]  Alessandro Giua,et al.  Petri net structural analysis for supervisory control , 1994, IEEE Trans. Robotics Autom..

[18]  Dimitri Lefebvre,et al.  Control design for multisource systems based on DC/DC converters duty cycle value , 2011 .

[19]  Dimitri Lefebvre,et al.  Petri nets control design for hybrid electrical energy systems , 2009, 2009 American Control Conference.

[20]  Tadao Murata,et al.  Petri nets: Properties, analysis and applications , 1989, Proc. IEEE.

[21]  P.J. Antsaklis,et al.  Supervisory control of hybrid systems , 2000, Proceedings of the IEEE.

[22]  D. Lefebvre,et al.  Multimodel for the coupling of several dc/dc power converters on a dc bus , 2008, 2008 IEEE International Symposium on Industrial Electronics.