Meta-heuristic optimization algorithms based direct current and DC link voltage controllers for three-phase grid connected photovoltaic inverter

Aouchiche, N.

doi:10.1016/j.solener.2020.06.086

Cited by 21 publications

(14 citation statements)

References 24 publications

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“…A PI controller is employed to maintain the constant dc-link voltage and the parameters of this PI controller are obtained with the help of the optimization technique which helps in improving the dynamic response of the dc-link voltage. Another metaheuristic approach, namely the whale optimization technique (WOADCVC) is proposed in [144] for optimum tuning of the dc-link PI controller. It was reported that among other meta-heuristic approaches whale optimization algorithm (WOA) is best for tuning the PI controller.…”

Section: ) Non-mppt Algorithm With Mcpc Control (Nmmcpcc) [137]mentioning

confidence: 99%

“…≤ (140) where, is the overcurrent protection threshold that the inverter switches can sustain. The optimal solutions by employing KKT are obtained as in ( 141) - (144).…”

Section: B Krush-kuhn-tucker Based Control (Kktbc)mentioning

confidence: 99%

“…The main aim is to maximize the ACI during faults and PV energy harvesting. The environmental constraint in (144) ensures that PV reference power should not exceed the PV power at MPP under fault conditions. Using (148), is determined under LVRT condition, where is the RMS phase voltage at PCC.…”

Section: Active and Reactive Current Injection Based Control (Aarcibc)mentioning

confidence: 99%

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A Comprehensive Review of Control Strategies to Overcome Challenges During LVRT in PV Systems

Joshi¹,

Swami

Jately

et al. 2021

IEEE Access

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Due to the high penetration of grid-connected photovoltaic (GCPV) systems, the network operators are regularly updating the grid codes to ensure that the operation of GCPV systems will assist in maintaining grid stability. Among these, low-voltage-ride-through (LVRT) is an important attribute of PV inverters that allows them to remain connected with the grid during short-term disturbances in the grid voltage. Hence, PV inverters are equipped with control strategies that secure their smooth operation through this ride-through period as per the specified grid code. During the injection of reactive power under LVRT condition, various challenges have been observed, such as inverter overcurrent, unbalance phase voltages at the point of common coupling (PCC), overvoltage in healthy phases, oscillations in active, reactive power and dc-link voltage, distortion in injected currents and poor dynamic response of the system. Several strategies are found in the literature to overcome these challenges associated with LVRT. This paper provides a critical review on the recent challenges and the associated strategies under LVRT conditions in GCPV inverters. The drawbacks associated with the conventional current control strategies are investigated in MATLAB/Simulink environment and each category of the advanced LVRT control strategy is analyzed under different types of grid faults. Moreover, this work categorizes different state-of-the-art LVRT techniques on the basis of synchronization methods, current injection techniques and dc-link voltage control strategies. It is found that the state-of-the-art control strategies like OVSS/OCCIDGS provides improved voltage support and current limitation which results in smooth LVRT operation by injecting currents of enhanced power quality.

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Section: ) Non-mppt Algorithm With Mcpc Control (Nmmcpcc) [137]mentioning

confidence: 99%

“…≤ (140) where, is the overcurrent protection threshold that the inverter switches can sustain. The optimal solutions by employing KKT are obtained as in ( 141) - (144).…”

Section: B Krush-kuhn-tucker Based Control (Kktbc)mentioning

confidence: 99%

Section: Active and Reactive Current Injection Based Control (Aarcibc)mentioning

confidence: 99%

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A Comprehensive Review of Control Strategies to Overcome Challenges During LVRT in PV Systems

Joshi¹,

Swami

Jately

et al. 2021

IEEE Access

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“…Thus, the attained DC power is applied to the inverter to convert it into alternating current (AC). [ 5 ] Also, the solar‐grid integration defines the network that permits the substantial influence of PV power into convenience grid. [ 6 ] Also, PV systems are a necessary part of evolving a defensible smart grid, and the disseminated PV systems are increased expressively around the world.…”

Section: Introductionmentioning

confidence: 99%

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

2021

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Introduction of photovoltaic (PV) systems in grid causes some complex power quality problems such as harmonics, voltage fluctuation, and load imbalance that can affect the grid coordinated PV system performance. Therefore, herein, a novel normalized reasoning‐based fuzzy neural adaptive (NRFNA) control technique is proposed for the double‐stage grid coupled solar PV system. In addition, the utmost power in a double‐stage PV system is tracked at dissimilar environmental states by the proposed novel hybrid krill herd spider monkey (HKHSM)‐based maximum power point tracking (MPPT) algorithm. The current computation control method preserves the grid current in unity power factor as sinusoidal for the system at point common coupling (PCC). The simulation of this proposed work is done on MATLAB/Simulink. Subsequently, the performance of the developed replica results is validated under dissimilar conditions of power quality. Furthermore, the proposed HKHSM‐based MPPT along with a normalized reasoning herd spider monkey (NRHSM) control technique in a grid coordinated solar PV system has achieved 1.70% load current harmonics and 3.7% grid current harmonics. Consequently, the simulation outcomes are compared with the various conventional methods for proving the significance of the proposed system.

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“…The inverters built in three-phase technology are becoming common in PV systems. They are used in applications such as fault management [28], current and voltage regulation [29], and maximum power point tracking [30].…”

Section: Introductionmentioning

confidence: 99%

A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids Using Inverter Automated Control

et al. 2021

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Four-wire low-voltage microgrids supply one-phase consumers with electricity, responding to a continuously changing demand. For addressing climate change concerns, national governments have implemented incentive schemes for residential consumers, encouraging the installation of home PV panels for covering self-consumption needs. In the absence of adequate storage capacities, the surplus is sold back by these entities, called prosumers, to the grid operator or, in local markets, to other consumers. While these initiatives encourage the proliferation of green energy resources, and ample research is dedicated to local market designs for prosumer–consumer trading, the main concern of distribution network operators is the influence of power flows generated by prosumers’ surplus injection on the operating states of microgrids. The change in power flow amount and direction can greatly influence the economic and technical operating conditions of radial grids. This paper proposes a metaheuristic algorithm for prosumer surplus management that optimizes the power surplus injections using the automated control of three-phase inverters, with the aim of reducing the active power losses over a typical day of operation. A case study was performed on two real distribution networks with distinct layouts and load profiles, and the algorithm resulted efficient in both scenarios. By optimally distributing the prosumer generation surplus on the three phases of the network, significant loss reductions were obtained, with the best results when the generated power was injected in an unbalanced, three-phase flow.

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Meta-heuristic optimization algorithms based direct current and DC link voltage controllers for three-phase grid connected photovoltaic inverter

Cited by 21 publications

References 24 publications

A Comprehensive Review of Control Strategies to Overcome Challenges During LVRT in PV Systems

A Comprehensive Review of Control Strategies to Overcome Challenges During LVRT in PV Systems

Novel Hybrid Optimization Maximum Power Point Tracking and Normalized Intelligent Control Techniques for Smart Grid Linked Solar Photovoltaic System

A Phase Generation Shifting Algorithm for Prosumer Surplus Management in Microgrids Using Inverter Automated Control

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