The aim is to help intensive penetration of piezoelectric energy harvesting generated into the grid by reducing the electrical power consumption during periods of maximum demand (peak demand hours) on the power utility at the lowest cost (peak shaving service).
Energy storage also allows "peak shaving".
The peak shaving performance is assessed in terms of peak shaving index and peak load reduction.
The operating policies include: conventional recycling, recycling with peak shaving and recycling with peak shaving and multiple feed injection.
Thus, a limited peak shaving is achieved in [22].
In this paper, we show an optimal "peak shaving" strategy, that enables minimization of the power peak and derive an analytic design method for attaining optimal peak shaving.
The adopted technique in this paper shows significant control abilities in peak shaving and load leveling.
If the loads were shaved according to the peak hour definition by EPDK, the peak shaving operation would not be fulfilled effectively.
Cost savings and peak shaving results demonstrate the capabilities of introduced price and behavior based control.
In this case the storage can have peak shaving, load shifting and power quality functions.
