Damped-SOGI based control algorithm for solar PV power generating system

Singh, Bhim; Dwivedi, Sanjeet; Jain, Chinmay

doi:10.1109/cicps.2015.7974073

Cited by 14 publications

(23 citation statements)

References 16 publications

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“…noise cancellation [162], adaptive notch filter (ANF) [158], automatic synchronization control control [163], ANFIS based control [164], proportional resonant integral (PRI) controller [165], optimized reactive power compensation algorithm (RPCA) [166], adaptive observer-based harmonic cancellation technique [131], non-linear adaptive controller [167], anti-windup [168], damped second order generalized integrator (DSOGI) [169], [170], decoupled adaptive noise detection (DAND) [171], admittance LMS neural network [127], LMF algorithm [172], combined LMS-LMF [173], momentum least mean square (MLMS) [174], improved linear sinusoidal tracer (ILST) [175], [176] and modified RLS [129]. These algorithms for DFACTS devices have been established successfully and validated by hardware framework.…”

Section: Energy Use and Costmentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

124

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Rapid industrialization and its automation on the globe demands increased generation of electrical energy with more reliability and quality. Renewable energy (RE) sources are considered as a green form of energy and extensively used as an alternative source of energy for conventional energy sources to meet the increased demand for electrical power. However, these sources, when integrated to the utility grid, pose challenges in maintaining the power quality (PQ) and stability of the power system network. This is due to the unpredictable and variable nature of generation by these sources. The distributed flexible AC transmission system (DFACTS) devices such as distributed static compensator (DSTATCOM) and dynamic voltage restorer (DVR) play an active role in mitigating PQ issues associated with RE penetration. The performance of DFACTS devices is mostly dependent on the type of control algorithms employed for switching of these devices. This paper presents a comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration. This review intends to provide a summary of the design, experimental hardware, performance and feasibility aspects of these algorithms reported in the literature. More than 170 research publications are critically reviewed, classified, and listed for quick reference for the advantage of engineers and academician working in this area. INDEX TERMS Adaptive control algorithm, conventional control algorithm, DFACTS device, modern utility grid, power quality, renewable energy source. ABBREVIATIONS 3P4W Three phase four wire 3P3W Three phase three wire ABT Admittance based theory ACA Adaptive control algorithm ADALINE Adaptive linear element theory ALMS Adaptive least mean square ANF Adaptive notch filter ANFIS Adaptive neuro-fuzzy inference system ARLS Adaptive recursive least square CCA Conventional control algorithm DFACTS Distributed flexible AC transmission system DSP Digital signal processing DSSSC Distributed static synchronous series compensator DSSC Distributed static series compensator DSTATCOM Distributed static compensator DSVC Distributed static var compensator DTCSC Distributed thyristor controlled series

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Section: Energy Use and Costmentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

124

View full text Add to dashboard Cite

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“…Therefore, it causes component failure. A two-stage solar PV system with a damped second-order generalized integral (DSOGI) algorithm is reported in [34]. The fundamental active power components of load currents are extracted for evaluating the reference grid currents.…”

Section: Introductionmentioning

confidence: 99%

Binary Hybrid Multilevel Inverter-Based Grid Integrated Solar Energy Conversion System With Damped SOGI Control

et al. 2020

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This paper presents a binary hybrid multilevel inverter (BHMLI) based grid-connected solar energy conversion system (SECS), controlled by damped second-order generalized integral (DSOGI). The BHMLI architect has a cascaded half-bridge array, which modifies the DC-link of the H-bridge of the voltage source inverter, and results in approximate reference waveform. It reduces the dV/dt of the H-bridge switches and improves output waveform quality. The DSOGI control damps the oscillations and overshoots and provides longer service period of low power switches at transient conditions. It is implemented in the multilevel inverter application for the first time in literature. The SECS is designed to inject active power to the grid, and also mitigates the harmonic and reactive power demands of the load. The cascading of 'n' half-bridges and one H-bridge generate (2 (nC1) − 1) output voltage levels. The maximum power extraction from solar photovoltaic (PV) array is achieved through incremental conductance (IC) algorithm based maximum point tracking (MPPT) operation of the DC-DC converter. An isolated single-input multipleoutput single-ended primary inductance converter (SIMO-SEPIC) realizes it. SECS with 15-level BHMLI is analyzed with extensive simulation as well as with a hardware prototype. Moreover, the shunt active filter functionality of the system at various load conditions are verified and maintained the grid power quality within the IEEE-519 standard throughout the operation. The laboratory developed setup is tested for 5 kW, 400 V, three-phase system, and the experimental analysis at steady-state and dynamic variations of load-side and insolation variations validate the theoretical claims. INDEX TERMS Multilevel inverter, SIMO-SEPIC, solar PV, power quality.

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“…High computational requirement of MPC is avoided by this. These schemes depend on the model of [34]. To reduce the effect of grid voltage dc offset in SOGI, a mixed second and third-order generalized integrator phase-locked loop is proposed in [35].…”

Section: Introductionmentioning

confidence: 99%

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

et al. 2020

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In this work, a new control methodology is proposed for Type-IV wind energy conversion system (WECS) using a self-recurrent wavelet neural network (SRWNN) control with a Vienna rectifier as the machine side converter (MSC). A SRWNN combines excellent dynamic properties of recurrent neural networks and the fast convergence speed of wavelet neural network. Hidden neurons of SRWNN contains local self-feedback loops, which provide the memory feature and the necessary information of past values of the signals, allowing it to track maximum power from WECS under varying wind speeds. The Vienna rectifier allows unity power factor operation to increase electrical efficiency. Frame angle-controlled wavelet modulation is proposed for the grid side converter (GSC). Wavelet modulated inverter produces output voltage fundamental components with higher magnitudes than those obtained from the pulse width modulated inverters. The non-linear load compensation and power quality enhancement are achieved by executing frame angle control for WM inverter. The overall system is modeled, and performance is verified in MATLAB Simulink. The hardware prototype is developed, and the switching pulses for the rectifier and inverter are generated using dSPACE1104 controller. The results prove that the system provides low harmonic content and high magnitude of the fundamental current component at the machine and grid sides and ensures maximum power operation at various wind speeds. INDEX TERMS Wind Energy Conversion System (WECS), Wavelet modulation (WM), Maximum power point tracking (MPPT), Self recurrent wavelet neural network (SRWNN)

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Damped-SOGI based control algorithm for solar PV power generating system

Cited by 14 publications

References 16 publications

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Binary Hybrid Multilevel Inverter-Based Grid Integrated Solar Energy Conversion System With Damped SOGI Control

Frame-Angle Controlled Wavelet Modulated Inverter and Self-Recurrent Wavelet Neural Network-Based Maximum Power Point Tracking for Wind Energy Conversion System

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