Robust frequency estimation in three‐phase power systems using correntropy‐based adaptive filter

Khalili, Azam; Rastegarnia, Amir; Sanei, Saeid

doi:10.1049/iet-smt.2015.0018

Cited by 46 publications

(35 citation statements)

References 40 publications

(59 reference statements)

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“…In ACLMS algorithm, complex signal is estimated from both V ( k ) and its complex conjugate V * ( k ), according to

\overset{V}{true} ((), k + 1) = V ((), k) h ((), k) + V^{*} ((), k) g ((), k),

where h ( k ) and g ( k ) are the filter weight coefficients and updates at a time instant k , respectively. The estimation error e ( k ) and cost function J ( k ) is defined as follows:

\begin{matrix} lefttrue \\ e (k) = V (k + 1) - \overset{truê}{V} (k + 1) \\ J (k) = \frac{1}{2} e^{2} (k), \end{matrix}

where the weight coefficients h ( k ), g ( k ) is updated based on this cost function and is obtained by the steep descent recursion as the following equation.…”

Section: Review On Aclms Algorithmmentioning

confidence: 99%

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Adaptive filtering with robust controller for improvement of inertial response of wind turbine

Aali

Besmi

Kazemi

2019

Int Trans Electr Energ Syst

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Summary It is necessary to study the impact of large‐scale wind turbines with virtual inertia control on power system stability considering the effects of frequency measurement. The phase‐locked loop (PLL) measures the system frequency. The operation of the PLL is deteriorated when the voltage contains sags, unbalance, high harmonics, and sudden drop frequency. Cascaded delayed signal cancelation (DSC) PLL technique can be used for frequency measurement under nonideal voltage due to its good harmonics filtering capability. But there are some oscillations and errors in the frequency estimation by the DSC‐PLL that led not to suitable frequency control in a doubly fed induction generator (DFIG). In this paper, an adaptive complex least mean square (ACLMS) algorithm is used for frequency estimation. The ACLMS algorithm is an adaptive filter, which can track frequency deviation, accurately and rapidly. In addition, this paper addresses robust frequency control in the DFIG. In a power system with wind turbines, load change, power fluctuation disturbance, and a dynamical perturbation influence the system frequency. In this condition, the conventional‐inertia controller is faced with challenges. H∞‐robust controller develops the frequency control loop. The estimated frequency using the ACLMS algorithm feeds the robust controller to improve the inertial response of the DFIG. This paper compares between H∞ and optimal conventional‐based inertia controller. The simulation validates that the ACLMS estimation with the H∞ inertia controller simultaneously provides frequency support to a low‐inertia tested power system, effectively. It improves frequency stability and resiliency under different disturbances and uncertainty.

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“…In ACLMS algorithm, complex signal is estimated from both V ( k ) and its complex conjugate V * ( k ), according to

\overset{V}{true} ((), k + 1) = V ((), k) h ((), k) + V^{*} ((), k) g ((), k),

where h ( k ) and g ( k ) are the filter weight coefficients and updates at a time instant k , respectively. The estimation error e ( k ) and cost function J ( k ) is defined as follows:

\begin{matrix} lefttrue \\ e (k) = V (k + 1) - \overset{truê}{V} (k + 1) \\ J (k) = \frac{1}{2} e^{2} (k), \end{matrix}

where the weight coefficients h ( k ), g ( k ) is updated based on this cost function and is obtained by the steep descent recursion as the following equation.…”

Section: Review On Aclms Algorithmmentioning

confidence: 99%

“…In ACLMS algorithm, 43,44 complex signal is estimated from both V(k) and its complex conjugate V * (k), according to…”

Section: Review On Aclms Algorithmmentioning

confidence: 99%

Adaptive filtering with robust controller for improvement of inertial response of wind turbine

Aali

Besmi

Kazemi

2019

Int Trans Electr Energ Syst

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“…are reported in the literature for power quality improvement in grid-tied PV systems. Apart from the conventional control schemes, adaptive filtering techniques [17][18][19][20][21][22][23] such as recursive least square (RLS) [17], least mean fourth (LMF) [18], variable step size LMS [19], filtered-x LMS algorithm [20] etc., have also been employed in the design of grid-tied PV systems because these algorithms are capable of tracking changes and characteristics of the unknown system. The LMS and LMF algorithms suffer from the problem of drifting [24].…”

Section: Introductionmentioning

confidence: 99%

Modified leaky LMS‐based control strategy for reliable operation of single‐stage three‐phase grid‐tied PV system

Parida

Subudhi

2020

IET Renewable Power Generation

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This study presents development of a modified leaky least mean square (MLLMS)-based control strategy for a singlestage three-phase grid-tied photovoltaic (PV) system. In the proposed MLLMS-based control scheme, the authors employ an incremental conductance maximum power point tracking algorithm for maximum power extraction, MLLMS algorithm for extraction of fundamental active and reactive components of the load current, delivering PV power to the grid, balancing the grid current and compensating harmonics of the connected loads at the point of common coupling. By virtue of a leakage factor and selection of sum of the exponential of the adaptation error in the cost function, the MLLMS algorithm overcomes the problems of drifting, low convergence and oscillations in weights encountered by some popular adaptive algorithms, e.g. least mean square (LMS) and least mean fourth (LMF) algorithms. The proposed control scheme is simulated in MATLAB/Simulink environment under different load and environmental conditions. Subsequently, the proposed control scheme is realised on a prototype gridtied PV system developed in the laboratory. From both the simulation and experimental results, it is observed that the proposed MLLMS algorithm outperforms LMS and LMF algorithms in terms of mean square error, oscillation in weights and total harmonic distortions of the grid currents. * reference grid currents i ga , i gc , i gc actual grid currents

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“…-kararlı dağılımın seçilmesinin nedeni, Gauss dağılımı da içeren daha genel bir gürültü modeli üzerinde çalışılmasını olanaklı kılması ve literatürde üç fazlı voltaj sinyallerindeki kısa süreli bozulmaların dürtüsel gürültü olarak modellenmesidir [3]. Uygulanan gürbüz süzgeçler ise Medyan, Myriad [4] ve Meridian [5] süzgeçleridir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

SİMETRİK Α-Kararli GÜRÜLTÜ ALTINDA AKILLI ŞEBEKE GÜVENLİĞİ İÇİN DURAĞAN DURUM KESTİRİMİ VE VERİ ENJEKSİYON SALDIRILARININ TESPİTİ

Yavuz

Cek

Akay

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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In this study, static state estimation problem in smart grid is considered for non-Gaussian environments. The noise model in state estimation is widely assumed to possess Gaussian distribution. However, in some realworld applications, noise may also possess an impulsive distribution. Method of least squares (LS) is generally used for state estimation in systems where noise is modeled by using Gaussian distribution. In this study, noise which contains impulsive components is modeled by -stable distributions. Robust filters are chosen for static state estimation and performances of these filters are compared against the performance of LS. In addition, cumulative sum (CUSUM) technique is employed and its performance is investigated under -stable distributed noise for quickest detection of malicious data injection attacks which might be launched at measurement values of buses in smart grids. In quickest detection, there is a trade-off between detection speed and detection reliability. The chosen threshold value for CUSUM determines the probability of detection for malicious attacks. In this study, impact of the threshold value on detection rate, false alarm rate, and average run length is examined in detail for different values.

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Robust frequency estimation in three‐phase power systems using correntropy‐based adaptive filter

Cited by 46 publications

References 40 publications

Adaptive filtering with robust controller for improvement of inertial response of wind turbine

Adaptive filtering with robust controller for improvement of inertial response of wind turbine

Modified leaky LMS‐based control strategy for reliable operation of single‐stage three‐phase grid‐tied PV system

SİMETRİK Α-Kararli GÜRÜLTÜ ALTINDA AKILLI ŞEBEKE GÜVENLİĞİ İÇİN DURAĞAN DURUM KESTİRİMİ VE VERİ ENJEKSİYON SALDIRILARININ TESPİTİ

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