Optimal Control of Aggregated TCLs Based on Tracking Differentiator

Abstract

AbstractIn smart grid, the temperature control load (TCL) adjusts the offset of the temperature setpoint to track the automatic generation control (AGC) signal. In the demand side energy management, the cost minimization problem is formulated for the energy supply company. The cost involved in this chapter is caused by the imbalance between power supply and demand and the discomfort of consumers, which are weighed by weighting coefficients. The forward method and tracking differentiator (TD) are used to obtain the Optimal cost. In the simulation, the weighting coefficient was changed to measure the root mean square error (RMSE) and cost. The simulation results show that the root mean square error (RMSE) and the cost of the utility company increase as the weight coefficient rises and the tracking error decreases. In addition, the impact of breaking TCL into different clusters on RMSE and cost is investigated in this chapter. The results of the study show that RMSE and cost increase as the number of groups increases.