Voltage Oriented Control and Direct Power Control Strategies in solving under and overvoltage conditions for heavy load application on Malaysian Distribution Representative Network

Yin, Lee Jun; Verayiah, Renuga; Ong, Kam Hoe; Ramasamy, Agileswari K.; Marsadek, Marayati

doi:10.1007/s00202-020-01143-y

Cited by 11 publications

(8 citation statements)

References 29 publications

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“…Currently, two main control strategies within the voltage-based control category, namely VOC and DPC, have encountered issues. In [5], both VOC and DPC strategies are examined and compared under heavy loads. VOC excels at quickly reaching the desired voltage reference, yet it exhibits higher THD compared to DPC.…”

Section: Related Workmentioning

confidence: 99%

“…Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic … (Mahmoud Haseeb) 2401 power conversion and control often fall short in mitigating these challenges, leading to suboptimal power quality, heightened distortion, and reduced overall system efficiency [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…The two-stage system, however, introduces complexity and potential efficiency losses. On the other hand, the single-stage approach boasts cost-effectiveness by directly integrating PV generation with the grid, resulting in fewer components and higher efficiency [5]. However, this simplicity leads to issues like harmonic distortions and voltage spikes due to fluctuations in PV array voltage during weather changes.…”

Section: Introductionmentioning

confidence: 99%

“…In grid-connected PV systems utilizing VSIs, effective control strategies are essential to enhance performance, improve power quality, and reduce total harmonic distortion (THD). Voltage-oriented control (VOC) is a prevalent approach that aligns the current vector with the line voltage vector using internal current control loops [5]. However, limitations arise from the need for coordinated translation and active/reactive component decoupling.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic controller

Haseeb,

Hassan Ibrahim Mansour,

Othman

2024

IJECE

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The power generated by photovoltaic (PV) systems is influenced by environmental factors. This variability hampers the control and utilization of solar cells' peak output. In this study, a single-stage grid-connected PV system is designed to enhance power quality. Our approach employs fuzzy logic in the direct power control (DPC) of a three-phase voltage source inverter (VSI), enabling seamless integration of the PV connected to the grid. Additionally, a fuzzy logic-based maximum power point tracking (MPPT) controller is adopted, which outperforms traditional methods like incremental conductance (INC) in enhancing solar cell efficiency and minimizing the response time. Moreover, the inverter's real-time active and reactive power is directly managed to achieve a unity power factor (UPF). The system's performance is assessed through MATLAB/Simulink implementation, showing marked improvement over conventional methods, particularly in steady-state and varying weather conditions. For solar irradiances of 500 and 1,000 W/m<sup>2</sup>, the results show that the proposed method reduces the total harmonic distortion (THD) of the injected current to the grid by approximately 46% and 38% compared to conventional methods, respectively. Furthermore, we compare the simulation results with IEEE standards to evaluate the system's grid compatibility.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic controller

Haseeb,

Hassan Ibrahim Mansour,

Othman

2024

IJECE

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“…In the literature, there are several strategies for regulation and control of SAP F s; such as P-Q [22], and Synchronous Reference Frame (SP F ) [23]. Among these strategies, researchers have focused on Direct Power Control (DP C) due to its characteristics which is based on the direct control of active power and reactive power and does not need internal current control loops, good dynamics and performance [24]. The disadvantages of the conventional DP C strategy can be reduced by using the DP C − SV M strategy [25].…”

Section: Introductionmentioning

confidence: 99%

Power Quality Enhancement based on Type 2 Fuzzy logic direct power control of a Microgrid connected photovoltaic system with battery storage feeding nonlinear load

Bouziane¹,

Zarour²,

Mehazzem

2022

Preprint

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In this paper, we deal with control performance and power qualityimprovement of Microgrid connected Photovoltaic System (PVS) withstorage. A comparative study was conducted between two versions of Fuzzy Logic Controllers: Type 1 (T1FLC) and Type 2 (T2FLC). DCside of the proposed microgrid system is composed of a photovoltaic systemand battery storage. Both are controlled by fuzzy logic algorithmsto extract maximum power from solar panels, and guarantee optimalmanagement of battery storage. AC side is composed of a two-level MultifunctionalVoltage Source Inverter (MVSI) associated with a ShuntActive Power Filter (SAPF) connected to the grid and supplies a nonlinearload. This side is controlled by a Direct Power Control strategyassociated with Space Vector-Modulation technique (DPC-SVM),and an Fuzzy Logic Controller (FLC) algorithm to inject the extractedactive power into the network and compensate the reactive power.The growing integration of Renewable Energy Sources (RES) poses several challenges to Microgrid systems. The T2FLC structureis proposed to better handle those challenges and enhance performance.Simulation of the proposed solution is validated under MATLAB/Simulink. The obtained simulation results show that T2FLC technique provides the best solution in terms of good tracking andoptimization performance, reactive power compensation, Total HarmonicDistortion (THD) elimination caused by non-linear loads,and robustness against irradiance and nonlinear load variations.

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Power Quality Events Classification Using Digital Signal Processing and Machine Learning Techniques

Fantin Irudaya Raj,

Balaji

2024

Modeling and Optimization of Signals Using Machine Learning Techniques

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Voltage Oriented Control and Direct Power Control Strategies in solving under and overvoltage conditions for heavy load application on Malaysian Distribution Representative Network

Cited by 11 publications

References 29 publications

Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic controller

Enhancing of single-stage grid-connected photovoltaic system using fuzzy logic controller

Power Quality Enhancement based on Type 2 Fuzzy logic direct power control of a Microgrid connected photovoltaic system with battery storage feeding nonlinear load

Power Quality Events Classification Using Digital Signal Processing and Machine Learning Techniques

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