Modeling and control of thermostatically controlled loads

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

As the penetration of intermittent energy sources grows substantially, loads will be required to play an increasingly important role in compensating the fast time-scale fluctuations in generated power. Recent numerical modeling of thermostatically controlled loads (TCLs) has demonstrated that such load following is feasible, but analytical models that satisfactorily quantify the aggregate power consumption of a group of TCLs are desired to enable controller design. We develop such a model for the aggregate power response of a homogeneous population of TCLs to uniform variation of all TCL setpoints. A linearized model of the response is derived, and a linear quadratic regulator (LQR) has been designed. Using the TCL setpoint as the control input, the LQR enables aggregate power to track reference signals that exhibit step, ramp and sinusoidal variations. Although much of the work assumes a homogeneous population of TCLs with deterministic dynamics, we also propose a method for probing the dynamics of systems where load characteristics are not well known.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Modeling and control of thermostatically controlled loads does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Modeling and control of thermostatically controlled loads, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Modeling and control of thermostatically controlled loads will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-160847

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.