Comparison of different control methods for integrated system of MPPT powered PV module and STATCOM

George, Salabha Anna; Chacko, Fossy Mary

doi:10.1109/icrese.2013.6927816

Cited by 17 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the Bode diagram, it is seen that the system is stable with phase margin and gain margin in the stable region. The fundamental active weight component of the phase 'a' load current is updated using the proposed MLLMS algorithm as σ wa (k + 1) = (1 − γμ w )σ wa (k) + 2μ w x wa (k)sinh(e wa (k)) (13) where e wa (k) is the adaptive active component error at the kth instant, σ wa (k) denotes the weight of fundamental active component of phase 'a' load current at the kth instant, γ denotes the leakage factor (0 < γ < 1) used for bounding the parameter estimate and μ w is the active learning rate chosen suitably to achieve desired results as…”

Section: Vsc Controlmentioning

confidence: 99%

“…However, widely a voltage source converter (VSC) is preferred over a CSI due to its cost‐effectiveness. Some of the control techniques such as instantaneous reactive power theory [12], synchronous reference frame theory [13], improved linear sinusoidal tracer [14], self‐tuning filter [15], integral sliding mode control [16] etc. are reported in the literature for power quality improvement in grid‐tied PV systems.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

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

show abstract

Section: Vsc Controlmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…Several different types of control schemes have been proposed in the literature to meet this requirement. The noteworthy of these PV integration control schemes are synchronous frame theory [8], enhanced phase locked loop [9], instantaneous reactive power theory [10], extended observer based sliding mode control technique [11], fuzzy-logic based control [12], fourth order generalized filter [13], adaptive notch filter [14], and an adaptive control scheme [15].…”

Section: Introductionmentioning

confidence: 99%

Enhanced SOGI Controller for Weak Grid Integrated Solar PV System

Nazir

Kumar

Pal

et al. 2020

IEEE Trans. Energy Convers.

View full text Add to dashboard Cite

This paper presents a two-stage three-phase solar photovoltaic (PV) system, which is controlled through a novel enhanced second order generalized integrator (ESOGI) based control technique. The proposed ESOGI is used for fundamental component extraction from nonlinear load current and distorted grid voltages. This integrator effectively and simultaneously manages to address the DC offset, inter-harmonic and integrator delay problems of the traditional SOGI. In addition, this control technique provides power factor correction, harmonic elimination, and load balancing functionalities. The ESOGI controller is used to generate reference grid currents for controlling the voltage source converter (VSC), interfacing the PV panel with the grid. Extensive simulation and experimental results on a developed prototype in the laboratory, depict that the total harmonic distortion (THD) of the grid injected currents and voltages are found well under IEEE-519 standard.Index Terms-Solar photovoltaic (PV) system, maximum power point tracking (MPPT), second order generalized integrator (SOGI), power quality.

show abstract

Lncosh-Based Adaptive Control Algorithm for Single-Stage SPV Grid-Interfaced System

Aalam¹,

Jamil²,

Hussain³

2022

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Comparison of different control methods for integrated system of MPPT powered PV module and STATCOM

Cited by 17 publications

References 5 publications

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

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

Enhanced SOGI Controller for Weak Grid Integrated Solar PV System

Lncosh-Based Adaptive Control Algorithm for Single-Stage SPV Grid-Interfaced System

Contact Info

Product

Resources

About