Title :
Parallel computing of sequential MonteCarlo techniques for reliable operation of Smart Grids
Author :
M. Giuntoli;P. Pelacchi;D. Poli
Author_Institution :
Dept. of Energy, Systems, Territory and Constructions Engineering, University of Pisa - Italy
Abstract :
Probabilistic methods based on Monte Carlo techniques are successfully employed, both in vertically integrated utilities and in deregulated markets, to assess the long-term adequacy of power systems. Unfortunately, the computational complexity of many time-consuming algorithms has constituted for years a crucial barrier to the use of probabilistic methods also for short-term reliability assessment and decision-support. Nowadays, the availability of cheap and fast computers discloses new opportunities also for on-line reliability calculations. In particular, parallel computing seems to have good chances to be successfully applied to the on-line operation of Smart Grids. In the present paper, a technique of parallel computing, applied to a sequential Monte Carlo algorithm that simulates a power system in a multi-core machine, is proposed and described. A case study based on the IEEE Reliability Test System RTS-96 is shown and discussed, with particular emphasis to the speed-up and accuracy obtained as a function of number of employed cores.
Keywords :
"Monte Carlo methods","Reliability","Instruction sets","Power system reliability","Probabilistic logic","Convergence"
Conference_Titel :
EUROCON 2015 - International Conference on Computer as a Tool (EUROCON), IEEE
DOI :
10.1109/EUROCON.2015.7313707