Harmonic estimation in power systems using an optimised adaptive Kalman filter based on PSO‐GA

Yang, Xi; Tang, Xin; Li, Zewen; Cui, Yanyan; Zhao, Ting; Zhang, Xiangjun; Guo, Jun; Duan, Wei

doi:10.1049/iet-gtd.2018.6148

Cited by 25 publications

(24 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be seen that particle swarm optimization pays more attention to the overall optimization ability. However, PSO algorithm also has some problems, such as premature convergence and easy to fall into local extremum, which are mainly attributed to the loss of population diversity in search space, and PSO algorithm does not have crossover and mutation operations, while the crossover mutation operation of genetic algorithm can better ensure population diversity (Barroso et al , 2016; Benvidi et al , 2017; Asadnia et al , 2017; Ji et al , 2017; Li et al , 2018; Xi et al , 2019; Khan et al , 2019; Ostadi et al , 2019).…”

Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on underwear pressure prediction based on improved GA-BP algorithm

Cheng

Chen

Wang

2020

IJCST

View full text Add to dashboard Cite

PurposeFor comfort evaluation of underwear pressure, this paper proposes an improved GA algorithm to optimize the weight and threshold of BP neural network, namely PSO-GA-BP neural network prediction model.Design/methodology/approachThe objective parameters of underwear, body shape data, skin deformation and other data are selected for simulation experiments to predict the objective pressure and subjective evaluation in dynamic and static state. Compared with the prediction results of BP neural network prediction model, GA-BP neural network prediction model and PSO-BP neural network prediction model, the performance of each prediction model is verified.FindingsThe results show that the BP neural network model optimized by PSO-GA algorithm can accelerate the convergence speed of the neural network and improve the prediction accuracy of underwear pressure.Originality/valuePSO-GA-BP model provides data support for underwear design, production and processing and has guiding significance for consumers to choose underwear.

show abstract

Section: Establishment Of Prediction Modelmentioning

confidence: 99%

Research on underwear pressure prediction based on improved GA-BP algorithm

Cheng

Chen

Wang

2020

IJCST

View full text Add to dashboard Cite

show abstract

“…Real power system load models are nonlinear and linear in phase and amplitude, respectively [8]. Nonlinear loads encounter problems with algorithm convergence speed; therefore, hybrid algorithms are used to estimate phase and amplitude values inside each load to avoid such problems [9]. In [10], FACTS devices were utilised to improve power system operation control, and PMU was used as a monitor to improve the capability of state estimation systems and full observable systems.…”

Section: Introductionmentioning

confidence: 99%

Application of computational methods for harmonic state estimation of power system networks

Naji

Hussein

2021

IJEECS

View full text Add to dashboard Cite

<span>In this study, a novel technique is used to estimate the power system harmonic state, as one of the biggest risks in a power system network. Nonlinear loads are widely used, which inject harmonics into a system. Such injected harmonics make networks unstable and increase power loss. The main objective of this work is to develop a new harmonic state estimator system to increase power system accuracy, stability and the wall operation state. Three computational methods are used in this study, that is, the i) proposed particle swarm optimisation-recursive least squares (PSO-RLS) algorithm, which is developed, presented and compared with the ii) discrete fourier transform (DFT) and iii) PSO algorithms. The three algorithms are tested on an IEEE 14-bus system, and simulation results show that the new PSO-RLS algorithm is more accurate than the other two algorithms (i.e. DFT and PSO algorithms), with a lower error percentage. The proposed algorithm is tested to prove its validity and effectiveness in power system networks. The capability of the PSO-RLS algorithm is apparent in the error percentage compared with that of the other two computational methods, which can be used to provide an excellent prediction rate for measurement errors in system buses. </span>

show abstract

“…A. Girgis in 1981 [2][3][4]. It mainly applies to the following fields: fundamental and harmonic components detection of grid voltage/current [5][6][7][8][9][10], phase−locked loop synchronization [11][12][13][14][15], power quality detection and compensation equipment [16][17][18][19][20], power disturbance feature extraction and machine classification [21][22][23][24], and etc. In these applications, two conventional models, phase angle vector (PAV) model and orthogonal vector (OV) model, are mainly used.…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Modeling of KF Algorithm for Detecting Distorted AC Signal

Nie

2021

Energies

View full text Add to dashboard Cite

Kalman filter (KF) is often based on two models, which are phase angle vector (PAV) model and orthogonal vector (OV) model, in the application of distorted grid AC signal detection. However, these two models lack rigorous and detailed derivation from the principle of dynamic modeling. This paper presents a phase angle vector dynamic (PAVD) model and an orthogonal vector dynamic (OVD) model, which are combined with Kalman filter for detecting distorted grid AC signal. They reveal that the state noise covariance of the dynamic model−based KF is related to the sampling cycle, and overcome the defect of more detecting error for conventional model−based KF. Experiment and evaluation results show that the proposed KF algorithms are reasonable and effective. Therefore, this paper contributes a guiding significance for the application of KF algorithm in harmonic detection.

show abstract

Harmonic estimation in power systems using an optimised adaptive Kalman filter based on PSO‐GA

Cited by 25 publications

References 28 publications

Research on underwear pressure prediction based on improved GA-BP algorithm

Research on underwear pressure prediction based on improved GA-BP algorithm

Application of computational methods for harmonic state estimation of power system networks

Research on Dynamic Modeling of KF Algorithm for Detecting Distorted AC Signal

Contact Info

Product

Resources

About