An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM + GA-PID controller with augmented lagrangian methods

An approach for load frequency control enhancement in two-area hydro-wind power systems using LSTM + GA-PID controller with augmented lagrangian methods

Abstract This paper proposes an advanced Load Frequency Control (LFC) strategy for two-area hydro-wind power systems, using a hybrid Long Short-Term Memory (LSTM) neural network combined with a Genetic Algorithm-optimized PID (GA-PID) controller. Traditional PID controllers, while extensively used,...

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Bibliographic Details
Main Authors: Ritesh Dash, Kalvakurthi Jyotheeswara Reddy, Bhabasis Mohapatra, Mohit Bajaj, Ievgen Zaitsev
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Load frequency control
LSTM
Genetic algorithm
PID controller
Power system control
Frequency regulation
Online Access:https://doi.org/10.1038/s41598-025-85639-2
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