Time Domain Estimation Techniques for Harmonic Load Models

Soliman, S. A.; Al-Kandari, A.M.; El-Hawary, M.E.

doi:10.1080/07313569708955783

Cited by 12 publications

(7 citation statements)

References 6 publications

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“…Another model for dynamic non-linear loads was formed in Reference [6] using a symbolic mathematics program. Other studies on the time domain load modelling technique were presented in References [7,8]. The method used in these studies can be used to model linear or non-linear loads in the presence or absence of harmonic distortion.…”

Section: Introductionmentioning

confidence: 98%

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A novel three‐phase time domain load modelling technique using instantaneous symmetrical components

Gül

Kaypmaz

Tanrıöven

2004

Int Trans Elec Energy Syst

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SUMMARYThis paper presents a new time domain load modelling technique based on the method of Instantaneous Symmetrical Components (ISC) for three-phase unbalanced and distorted power system loads. ISC is used here to obtain instantaneous symmetrical voltage and current components and these components are used in the calculation of the symmetrical component model parameters, resistance (R ð0;1;2Þ ), inductance (L ð0;1;2Þ ), capacitance (C ð0;1;2Þ ) and a harmonic instantaneous current source (j ð0;1;2Þ h ðtÞ), which are all connected in parallel. The results cover four cases of the system operation and the load parameters are found for each case, even in the presence of harmonic distortion. Consequently, it is shown that the developed method is a very powerful modelling technique to model time varying, unbalanced and distorted three-phase loads, such as general loads: i.e. residential and commercial buildings.

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Section: Introductionmentioning

confidence: 98%

“…The method used in these studies can be used to model linear or non-linear loads in the presence or absence of harmonic distortion. It has also been indicated in Reference [7] that the load resistance, inductance and capacitance were estimated using the least errors square algorithm.…”

Section: Introductionmentioning

confidence: 99%

A novel three‐phase time domain load modelling technique using instantaneous symmetrical components

Gül

Kaypmaz

Tanrıöven

2004

Int Trans Elec Energy Syst

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“…The impulse of the neuron is equal to the weighted sum of the input signals that transformed by the transfer function. By adjusting the weights the artificial neuron starts to learn [24]. An artificial neural network is commonly used for forecasting.…”

Section: Neural Network Structurementioning

confidence: 99%

“…The neurons start to activate and emit a signal through the axons when they receive strong signals, the potential of the signals reach a threshold, a pulse is sent down the axon and the cell is fired. Figure (1) shows the general structure of the neural network feed forward system [23,24]. In neural networks, the effects of the synapses are represented by connection weights that modulate the effect of the associated input signals.…”

Section: Neural Network Structurementioning

confidence: 99%

“…Trial and error search and delayed reward all characterize reinforcement learning. In this approach the learner is not informed which actions to take first for solving a certain problem, but it is informed to discover which actions yield the most reward by trying them [23][24][25][26][27]. There are some rules that should be considered while dealing with ANN like the selection of the raw data patterns for training, the topology of the network, and the training algorithm that has faster convergence properties and lower computational time [25].…”

Section: Neural Network Structurementioning

confidence: 99%

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A Proposed Algorithms for Tidal in-Stream Speed Model

Aly

El-Hawary

2013

AJEE

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Abstract:In this paper we propose four models for tidal current speed and direction magnitude forecasting model. The first model is a Fourier series model based on the least squares method (FLSM), the second model is an artificial neural network (ANN), the third model is a hybrid of FLSM and ANN and the fourth model is a hybrid of ANN and FLSM for monthly forecasting of tidal current speed. These proposed models are ranked in order depending on their performance. These models are validated by using another set of data (tidal current direction). The proposed hybrid model of FLSM and ANN is highly accurate and outperforms. This study was done using data collected from the Bay of Fundy in 2008.

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Data-driven dynamic harmonic model for modern household appliances

Xie

Chen

2022

Applied Energy

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Time Domain Estimation Techniques for Harmonic Load Models

Cited by 12 publications

References 6 publications

A novel three‐phase time domain load modelling technique using instantaneous symmetrical components

A novel three‐phase time domain load modelling technique using instantaneous symmetrical components

A Proposed Algorithms for Tidal in-Stream Speed Model

Data-driven dynamic harmonic model for modern household appliances

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