Demand-side management by integrating bus communication technologies into smart grids

Abstract Renewable Energy Sources (RES) plants still have to operate at their maximum possible output and are therefore independent of electric energy consumption. Thus, coordination between distributed generators, energy storage systems and flexible loads is expected to add a great value to grid operations and facilitate further RES penetration. The increasing penetration of bus communication technologies into buildings and their control possibilities over electric energy consumption may also make valuable contributions to the grid operation. Thus, the control system of the future grid should be compatible to smart buildings and cities. This paper presents a control system of an experimental microgrid which is made compatible to bus communication technologies at the demand-side, by applying a simple technique. The proposed technique does not require additional interface or software tools, as other methods do and therefore is a cost-effective method and can be easily expanded and used for demand-side management in future smart grids. Experimental results prove that bus communication technologies could contribute to the voltage regulation as well as to the application of efficient energy management policies of microgrid-based smart grid topologies.

[1]  P.S. Dokopoulos,et al.  Earth Return Impedances of Conductor Arrangements in Multilayer Soils—Part II: Numerical Results , 2008, IEEE Transactions on Power Delivery.

[2]  Lieven Vandevelde,et al.  Active Load Control in Islanded Microgrids Based on the Grid Voltage , 2011, IEEE Transactions on Smart Grid.

[3]  Ronnie Belmans,et al.  Prevention of inverter voltage tripping in high density PV grids , 2004 .

[4]  B. Blazic,et al.  Voltage profile support in distribution networks — influence of the network R/X ratio , 2008, 2008 13th International Power Electronics and Motion Control Conference.

[5]  Massimo Aliberti Green networking in home and building automation systems through power state switching , 2011, IEEE Transactions on Consumer Electronics.

[6]  H. Laaksonen,et al.  Voltage and frequency control of inverter based weak LV network microgrid , 2005, 2005 International Conference on Future Power Systems.

[7]  Rüdiger Kays,et al.  Performance Evaluation of Wireless Home Automation Networks in Indoor Scenarios , 2012, IEEE Transactions on Smart Grid.

[8]  J. Driesen,et al.  Control of Microgrids , 2007, 2007 IEEE Power Engineering Society General Meeting.

[9]  Mustafa Bagriyanik,et al.  An event-driven energy management system for planned control of thermostatic loads , 2013, 2013 IEEE Grenoble Conference.

[10]  Dimitrios Stimoniaris,et al.  Advanced energy storage and demand-side management in smart grids using buildings energy efficiency technologies , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.

[11]  H. Laaksonen,et al.  Microgrid voltage level management and role as part of smart grid voltage control , 2011, 2011 IEEE Trondheim PowerTech.

[12]  Dimitrios Stimoniaris,et al.  Investigation of smart grid topologies using pilot installations experimental results , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[13]  Renke Huang,et al.  Smart Grid Technologies for Autonomous Operation and Control , 2011, IEEE Transactions on Smart Grid.

[14]  Dimitrios Stimoniaris,et al.  Improved Energy Storage Management and PV-Active Power Control Infrastructure and Strategies for Microgrids , 2016, IEEE Transactions on Power Systems.

[15]  D. Tsiamitros,et al.  New operation scheme and control of Smart Grids using Fuzzy Cognitive Networks , 2015, 2015 IEEE Eindhoven PowerTech.

[16]  M. A. Zehir,et al.  Development of a field data-based virtual test bed for microgrid integration of building automation technologies , 2015, 2015 9th International Conference on Electrical and Electronics Engineering (ELECO).

[17]  Andreas Jossen,et al.  Methods for state-of-charge determination and their applications , 2001 .