Open AccessRobust Power System State Estimator using Projection Statistics for IEEE systems
Author(s) -
Mr. K. Sathish Kumar,
Basavaraja Banakara,
B. V. Sanker Ram
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1753.078219
Subject(s) - estimator , impulse noise , computer science , noise (video) , gaussian noise , electric power system , matlab , gaussian , impulse (physics) , control theory (sociology) , power (physics) , statistics , algorithm , mathematics , artificial intelligence , physics , pixel , control (management) , quantum mechanics , image (mathematics) , operating system
In Real-time applications like measurement noise in distributed power system. From model of Gaussian frequently deviates or unknown are obtained and estimated in terms of impulse pulse of noise. Under such situations, the efficiency behavior changes. State estimation (SE) methods which are conventional which have both measured and estimated values with the noise consideration is greatly depleted. In this paper, state estimation methods are used in power systems to reduce the error and noise either in two stages of operation. To achieve a linear property of the estimated output by using adjustment of weights and its measurements. The estimator considers the limits and statistical data with a good efficiency even with and without noise effects and disturbances. Tu understand the behavior of SE methods, IEEE test bench of 14-bus and 30- buses are considered. the results are simulated in MTALAB-SIMULINK environment. Index Terms: Load flow study, IEEE 14 and 30 Bus systems, Statistics, GM-estimator, MATLAB, M file.