Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC) 2014
DOI: 10.1109/ciec.2014.6959107
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Application of neural networks to automatic load frequency control

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Cited by 9 publications
(4 citation statements)
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“…A simulation model to determine the mains frequency response of a simplified linear power system model was created using MATLAB/Simulink© software [52]; sample rate = 0.02. For illustrative purposes, a single area system driven by a lumped parameter non-reheat steam turbine was implemented [53]. Initially, the function of automatic load frequency control (ALFC) primary and subsequently secondary loops that control the prime mover and generator outputs were simulated to provide a baseline for comparison.…”
Section: Software Simulation Of Decentralised Frequency Control Regulmentioning
confidence: 99%
“…A simulation model to determine the mains frequency response of a simplified linear power system model was created using MATLAB/Simulink© software [52]; sample rate = 0.02. For illustrative purposes, a single area system driven by a lumped parameter non-reheat steam turbine was implemented [53]. Initially, the function of automatic load frequency control (ALFC) primary and subsequently secondary loops that control the prime mover and generator outputs were simulated to provide a baseline for comparison.…”
Section: Software Simulation Of Decentralised Frequency Control Regulmentioning
confidence: 99%
“…However, it has also been reported that this technique is not preferred when the number of parameters to be optimized is high. It is seen that for a step load change, the NN-based control scheme produces a better response than the conventional Proportional Integral (PI) controller [3,8]. Internal model control (IMC) is one of the robust control methods and is easy to implement [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…Ensuring that the frequency is controlled at a fixed value or with small changes in its vicinity is a basic requirement of LFC [1]. In order to maintain the system frequency, some control techniques for power systems have been adopted in LFC such as an adaptive fuzzy logic approach [2], neutral network [3], and robust H ∞ control [4]. Different from conventional energy sources, wind energy has the intrinsic intermittence and fluctuation, which will inevitably bring serious influence on the frequency regulation of a power system [5].…”
Section: Introductionmentioning
confidence: 99%