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Binod Kumar Sahu
Researcher at Siksha O Anusandhan University
Publications - 128
Citations - 1857
Binod Kumar Sahu is an academic researcher from Siksha O Anusandhan University. The author has contributed to research in topics: PID controller & Automatic Generation Control. The author has an hindex of 16, co-authored 99 publications receiving 1126 citations. Previous affiliations of Binod Kumar Sahu include École Polytechnique Fédérale de Lausanne.
Papers
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Teaching-learning based optimization algorithm based fuzzy-PID controller for automatic generation control of multi-area power system
TL;DR: It is observed that TLBO optimized fuzzy-PID controller gives better dynamic performance in terms of settling time, overshoot and undershoot in frequency and tie-line power deviation as compared to LCOA, GA, PS and SA based PID controllers.
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Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization
TL;DR: The analysis results reveal that the proposed MOL based PID controller for the AVR system performs better than the other similar recently reported population based optimization algorithms.
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A novel hybrid LUS–TLBO optimized fuzzy-PID controller for load frequency control of multi-source power system
TL;DR: The supremacy of the proposed LUS–TLBO algorithm optimized fuzzy-PID controller is proved for both the power systems (with and without HVDC link) by comparing the results with that of recently published article based on Differential Evolution algorithm optimized conventional PID controller.
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Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system
TL;DR: It is observed that the optimum gains of the proposed fuzzy PID controller need not be reset even if the system is subjected to variation in loading condition and system parameters, and the superiority of hybrid DEPSO algorithm over differential evolution and particle swarm optimisation algorithm has been demonstrated.
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Tuning and Assessment of Proportional–Integral–Derivative Controller for an Automatic Voltage Regulator System Employing Local Unimodal Sampling Algorithm
TL;DR: In this paper, a local unimodal sampling optimization algorithm was proposed to obtain proportional-integral-derivative controller parameters for an automatic voltage regulator system based on a local-parameter optimization algorithm.