Title :
Diffusion widely linear adaptive estimation of system frequency in distributed power grids
Author :
Kanna, Sithan ; Talebi, Sayed Pouria ; Mandic, Danilo P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
Abstract :
Motivated by the need for decentralized estimation in the electricity grid, we apply the diffusion augmented complex least mean square (D-ACLMS) algorithm to estimate the frequency of a three-phase power system under balanced and unbalanced voltage conditions in a distributed setting. In addition to using local measurements, the diffusion adaptation strategy allows nodes to share their frequency estimates with neighbouring nodes which enables the network to exploit multiple measurements of the voltage signal. The analysis provides convergence conditions of the D-ACLMS and also gives the bounds on parameter values which guarantee that the diffusion type of adaptation stabilizes the network. Simulations under both balanced and unbalanced conditions support the analysis.
Keywords :
adaptive estimation; convergence of numerical methods; diffusion; distributed power generation; frequency estimation; least mean squares methods; power grids; D-ACLMS algorithm; balanced voltage conditions; convergence conditions; decentralized estimation; diffusion augmented complex least mean square algorithm; distributed power grids; electricity grid; frequency estimation; linear adaptive estimation; local measurements; neighbouring nodes; parameter values; three-phase power system; unbalanced voltage conditions; voltage signal; Cost function; Frequency estimation; Noise; Noise measurement; Vectors; Voltage fluctuations; Voltage measurement; Complex least mean square (CLMS); augmented statistics; diffusion adaptation; three-phase power system; widely linear modelling;
Conference_Titel :
Energy Conference (ENERGYCON), 2014 IEEE International
Conference_Location :
Cavtat
DOI :
10.1109/ENERGYCON.2014.6850513