A Stochastic Multi-Objective Approach to Pilot Bus Selection for Secondary Voltage Regulation

This letter presents a multi-objective probabilistic model for the optimal selection of pilot buses in secondary voltage regulation (SVR) of transmission grids. The pilot-bus selection (PS) problem is formulated in the form of a stochastic multi-objective optimization problem (SMOP). The resultant S...

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Bibliographic Details
Published in:IEEE transactions on power systems 2020-07, Vol.35 (4), p.3262-3265
Main Authors: Su, Heng-Yi, Hong, Hsu-Hui
Format: Article
Language:English
Subjects:
Electric potential
Frequency modulation
Fuzzy set theory
Fuzzy sets
Genetic algorithms
Linear programming
Load modeling
multi-objective optimization
Multiple objective analysis
Nonlinear programming
NSGA-II
Optimization
pilot bus selection
Probabilistic models
secondary voltage regulation
Sorting algorithms
Stochastic processes
Switched mode power supplies
Voltage
Voltage control
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Summary:This letter presents a multi-objective probabilistic model for the optimal selection of pilot buses in secondary voltage regulation (SVR) of transmission grids. The pilot-bus selection (PS) problem is formulated in the form of a stochastic multi-objective optimization problem (SMOP). The resultant SMOP is solved toward the non-dominated sorting genetic algorithm (NSGA-II) together with a fuzzy set theory. The applicability of the proposed PS model is examined on a classical test system as well as a practical transmission grid.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2020.2981004