Title :
DMS Cyber-Physical Simulation for Assessing the Impact of State Estimation and Communication Media in Smart Grid Operation
Author :
Celli, G. ; Pegoraro, Paolo ; Pilo, F. ; Pisano, Giampaolo ; Sulis, Sara
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
Abstract :
Energy management systems for the operation of distributed energy resources, distribution storage devices, and responsive loads will be embedded in distribution management systems (DMSs) as advanced functions that rely on accurate input data and fast communication signals. For a proper DMS design, the impact of the state estimation uncertainties and of the communication system delays should be evaluated. The paper presents an integrated software package for the cyber-physical simulation of DMS taking into account the accuracy of state estimation and measurements. The effectiveness of a wireless Wi-Max communication system has been tested on the rural Italian representative network produced by the research project ATLANTIDE. Results proved the need of cosimulation packages in modern distribution systems.
Keywords :
WiMax; embedded systems; load management; power distribution planning; power engineering computing; power system state estimation; renewable energy sources; smart power grids; software packages; ATLANTIDE; DMS; communication media; communication system delay; cosimulation packages; cyber-physical simulation; distributed energy resources; distribution management system; distribution storage device; energy management system; integrated software package; modern distribution systems; responsive load; rural Italian representative network; smart grid operation; state estimation impact assessment; state estimation uncertainty; wireless WiMax communication system; Accuracy; Computer architecture; Decision support systems; Energy management; State estimation; WiMAX; Active distribution networks (ADNs); distribution management system (DMS); distribution system state estimation; optimal power flow (OPF); power distribution; smart grids;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2014.2301639