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Seminario del 2011
2011
07 febbraio
Dott. Antonio Pievatolo (CNR-IMATI, Milano)
Seminario di probabilità
In the context of efficient energy use, electrical energy in electric drives plays a fundamental role. High efficiency energy storage systems permit energy recovery, peak shaving and power quality functions. Due to their cost and the importance of system integration, there is a need for a correct design based on technical-economical optimization. In this paper, a method to design a centralized storage
system for the recovery of the power regenerated by a number of electric drives is presented. It is assumed that the drives follow deterministic power cycles, but shifted by an uncertain amount. Therefore the recoverable energy and, consequently, the storage size requires the optimization of a random cost function, embedding both the plant total cost and the saving due to the reduced energy consumption
during the useful life of the storage. The underlying stochastic model for the power profile of the drives as a whole is built
from a general Markov chain framework.
A numerical example, based on Monte Carlo simulations, concerns the maximization of the recoverable potential energy of multiple bridge
cranes, supplied by a unique grid connection point and a centralized supercapacitor storage system.