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An Empirical Observability Gramian based Binary Search Algorithm for State Estimation in Microgrid
Journal
PESGRE 2022 - IEEE International Conference on "Power Electronics, Smart Grid, and Renewable Energy"
Date Issued
2022-01-01
Author(s)
Aquib, Mohd
Doolla, Suryanarayana
Chandorkar, Mukul C.
Abstract
State estimation techniques are used in microgrids for achieving several objectives like stability improvement, power sharing improvement, monitoring etc. The states that are transmitted to the estimator need to optimized so that the communication system with a low bandwidth can be used. This paper proposes an empirical observability Gramian based binary search algorithm to find the optimal states that need to be transmitted to the estimator. The proposed scheme is validated using simulations in MATLAB/Simulink environment.
Subjects