Fine-Grained Power Load Modeling Based on Electricity Consumption Behavior and Minimum Working States of Electrical Appliance's Current

Accurate load modeling is critical for power system planning and operational decision making especially for new energy power grid. In this paper, we proposed a method of fine-grained power load modeling based on electricity consumption behavior and minimum working states(MWS) of electrical appliance's current. The current waveforms are reconstructed reversely according to a four-layer-model which contains power consumption schedule, the working modes of electric appliance, the sub-states, minimum working states which includes short-time stable state, long-time stable state, and transient state. Using IFFT to rebuild the voltage and the current waveforms of short-time stable state and long-time stable state, and using IWT to rebuild the ones of transient state. The 24-hour-superimposed current and total power of single-phase were calculated for three phases separately, and the 24-hour Peak and Valley values of power of single-phase was also recorded in 4 kinds of different time slots. The experiment shows that: (1) the four-layer-model constructed in this paper has strong operability; (2) The distribution of peak and valley value for different schedules can be fine-grained simulated to realize the optimization for peak reduction.