Robust multi-objective control of hybrid renewable microgeneration systems with energy storage

Microgeneration technologies are positioned to address future building energy efficiency requirements and facilitate the integration of renewables into buildings to ensure a sustainable, energy-secure future. This paper explores the development of a robust multi-input multi-output (MIMO) controller applicable to the control of hybrid renewable microgeneration systems with the objective of minimising the electrical grid utilisation of a building while fulfilling the thermal demands. The controller employs the inverse dynamics of the building, servicing systems, and energy storage with a robust control methodology. These inverse dynamics provides the control system with knowledge of the complex cause and effect relationships between the system, the controlled inputs, and the external disturbances, while an outer-loop control ensures robust, stable control in the presence of modelling deficiencies/uncertainty and unknown disturbances. Variable structure control compensates for the physical limitations of the systems whereby the control strategy employed switches depending on the current utilisation and availability of the energy supplies. Preliminary results presented for a system consisting of a micro-CHP unit, solar PV, and battery storage indicate that the control strategy is effective in minimising the interaction with the local electrical network and maximising the utilisation of the available renewable energy.

[1]  Balarko Chaudhuri,et al.  MIMO feedback linearization control for power systems , 2013 .

[2]  Mathias Kluge Advanced Control Systems Design , 2016 .

[3]  Nahum Shimkin,et al.  Nonlinear Control Systems , 2008 .

[4]  José Luis Guzmán,et al.  Filtered Smith predictor with feedback linearization and constraints handling applied to a solar collector field , 2010 .

[5]  N. MacDonald Nonlinear dynamics , 1980, Nature.

[6]  Mohammad Hassan Moradi,et al.  An energy management system (EMS) strategy for combined heat and power (CHP) systems based on a hybrid optimization method employing fuzzy programming , 2013 .

[7]  Mike B. Roberts Domestic microgeneration: renewable and distributed energy technologies, policies and economics , 2016 .

[8]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[9]  Aidan Duffy,et al.  Validated dynamic energy model for a Stirling engine μ-CHP unit using field trial data from a domestic dwelling , 2013 .

[10]  Antonio Rosato,et al.  Calibration and validation of a model for simulating thermal and electric performance of an internal combustion engine-based micro-cogeneration device , 2012 .

[11]  A. TUSTIN,et al.  Automatic Control Systems , 1950, Nature.

[12]  Sirkka-Liisa Jämsä-Jounela,et al.  Modeling and model predictive control of the BioPower combined heat and power (CHP) plant , 2015 .

[13]  Adam Hawkes,et al.  Domestic Microgeneration: Renewable and distributed energy technologies, policies and economics , 2015 .

[14]  Jochen Schäfer,et al.  Optimal control of combined heat and power units under varying thermal loads , 2014 .

[15]  Reinhard Radermacher,et al.  Modeling of micro-CHP (combined heat and power) unit and evaluation of system performance in building application in United States , 2013 .

[16]  Euy Joon Lee,et al.  Performance analysis of a hybrid renewable microgeneration system in load sharing applications , 2014 .

[17]  Henrik Madsen,et al.  A model predictive control strategy for the space heating of a smart building including cogeneration of a fuel cell-electrolyzer system , 2014 .

[18]  Peter Tzscheutschler,et al.  Integration of Microgeneration and Related Technologies in Buildings , 2014 .

[19]  Jürg Tödtli,et al.  Fuzzy Anti-Reset Windup for PID Controllers , 1993 .

[20]  A. Isidori,et al.  On the synthesis of linear input-output responses for nonlinear systems , 1984 .

[21]  Saffa Riffat,et al.  Design, testing and mathematical modelling of a small-scale CHP and cooling system (small CHP-ejector trigeneration) , 2007 .

[22]  Nick Kelly,et al.  Specifications for modelling fuel cell and combustion-based residential cogeneration device within whole-building simulation programs , 2007 .

[23]  Gavin Bruce Murphy,et al.  Control of micro-CHP and thermal energy storage for minimising electrical grid utilisation , 2013 .

[24]  Aria Alasty,et al.  Nonlinear dynamics, bifurcation and performance analysis of an air-handling unit: Disturbance rejection via feedback linearization , 2013 .

[25]  Jim Euchner Design , 2014, Catalysis from A to Z.

[26]  Daizhan Cheng,et al.  Exact linearization of nonlinear systems with outputs , 1988, Mathematical systems theory.

[27]  Alex Ferguson,et al.  An Experimental and Simulation-based Investigation of the Performance of Small-scale Fuel Cell and Combustion-based Cogeneration Devices Serving Residential Buildings: Final Report of Annex 42 of the International Energy Agency's Energy Conservation in Buildings and Community Systems Programme , 2008 .

[28]  Alfonso P. Ramallo-González,et al.  Lumped parameter models for building thermal modelling: An analytic approach to simplifying complex multi-layered constructions , 2013 .