Dynamic demand minimization using a smart transformer

Recently the Smart Transformer (ST) has been discussed as a replacements for the traditional transformer, driven by its advantages in terms of controllability and renewable energy integration. Although the Smart Transformer has lower efficiency than the conventional transformer, its control functionality has the potential to be used for wider system energy savings. This paper proposes a control, namely dynamic demand minimization tracking, which is aimed at reducing demand through regulation of the Smart Transformer output voltage. The control can automatically track the minimum demand by firstly identifying the load and then regulating the voltage. The control approach has been validated in a hardware experiment. The performance of the control in terms of demand reduction, is compared with Conservation Voltage Reduction in a 400 kVA, 400 V distribution network considering a typical daily loading profile. The results suggest that the Smart Transformer with dynamic demand minimization tracking control can reduce energy consumption by as much as 5.45%.

[1]  Jianhui Wang,et al.  Review on Implementation and Assessment of Conservation Voltage Reduction , 2014, IEEE Transactions on Power Systems.

[2]  Jonathan W. Kimball,et al.  A comparative efficiency study of silicon-based solid state transformers , 2010, 2010 IEEE Energy Conversion Congress and Exposition.

[3]  P. K. Sen,et al.  Conservation Voltage Reduction Technique: An Application Guideline for Smarter Grid , 2016, IEEE Transactions on Industry Applications.

[4]  Frede Blaabjerg,et al.  Voltage and current balancing in Low and Medium Voltage grid by means of Smart Transformer , 2015, 2015 IEEE Power & Energy Society General Meeting.

[5]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications , 2010 .

[6]  Marco Liserre,et al.  Frequency adaptive control of a smart transformer-fed distribution grid , 2016, 2016 IEEE Applied Power Electronics Conference and Exposition (APEC).

[7]  Teresa Fallon,et al.  Conservation voltage reduction and voltage optimisation on Irish distribution networks , 2012 .

[8]  Mike Ropp,et al.  Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed , 2000, Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036).

[9]  Subhashish Bhattacharya,et al.  Solid-State Transformer and MV Grid Tie Applications Enabled by 15 kV SiC IGBTs and 10 kV SiC MOSFETs Based Multilevel Converters , 2015, IEEE Transactions on Industry Applications.

[10]  Marco Liserre,et al.  Load control using sensitivity identification by means of smart transformer , 2017 .

[11]  D. A. Quijano,et al.  Assessment of Conservation Voltage Reduction effects in networks with distributed generators , 2015, 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM).

[12]  Andrew Keane,et al.  Discrete elastic residential load response under variable pricing schemes , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.

[13]  Marco Liserre,et al.  Voltage control by means of smart transformer in medium voltage feeder with distribution generation , 2017, 2017 IEEE Manchester PowerTech.

[14]  D. Kirshner,et al.  Implementation of conservation voltage reduction at Commonwealth Edison , 1990 .

[15]  Marco Liserre,et al.  On-Line Load Sensitivity Identification in LV Distribution Grids , 2017, IEEE Transactions on Power Systems.

[16]  Frede Blaabjerg,et al.  Review of modular power converters solutions for smart transformer in distribution system , 2013, 2013 IEEE Energy Conversion Congress and Exposition.