Scaled Conjugate-Artificial Neural Network-Based novel framework for enhancing the power quality of Grid-Tied Microgrid systems

Sahoo, Gagan Kumar; Choudhury, Subhashree; Rathore, Rajkumar Singh; Bajaj, Mohit; Dutta, Ashit Kumar

doi:10.1016/j.aej.2023.08.081

Cited by 25 publications

(5 citation statements)

References 31 publications

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“…Current as well as voltage harmonics are often encountered power quality disturbances (PQDs) in electrical distribution networks. Typically, these events manifest themselves in the context of short circuits, grounding anomalies, and the functioning of switching mode power supply (Sahoo et al, 2023;Rajesh et al, 2022;Rahmani et al, 2023;Khaleel, 2014;Noroozi et al, 2023;Alsali et al, 2023;Alsharif et al, 2023;Castellanos et al, 2022;Budiman et al, 2024;Ali, 2023;Benbouhenni et al, 024;Khaleel, 2015;Aljendy et al, 2019;Andeef et al, 2023. As a result, in order to mitigate the impact of these harmonics, it is necessary to make adaptations to formulae (1) and ( 2).…”

Section: Total Harmonics Distortionmentioning

confidence: 99%

Modeling and Power Quality Enhancement of PV Interfaced with Power Grid System

Elgallai

2024

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Recently, photovoltaic (PV) technology has significantly contributed to the utilization of renewable energy sources. It plays a crucial role in addressing the challenges posed by climate change, enhancing energy affordability, ensuring power supply stability, and facilitating energy accessibility. PV technology represents a significant opportunity for addressing the issue of energy access among distant areas that now lack reliable access to electricity. Using a traditional grid is limited due to cost and feasibility constraints. These difficulties are to be addressed in the appropriate timeframe to improve the dependability of the supply. The expansion of the grid into these regions diminishes the overall resilience of the grid system. This leads to a situation where PV systems are integrated into an AC grid with low power quality (PQ) or limited capacity. Nevertheless, the integration of solar power into an AC grid with low capacity. The presence of PQ problems imposes limitations on the levels of penetration. Other factors impose limitations and penetration levels encompass several factors such as non-linear loads, dynamic loads, fluctuating irradiations, and partial shade, among others. This article aims to address the PQ difficulties that arise from a weak electrical infrastructure. The purpose of this compilation is to provide engineers with a readily accessible resource, offering them a distinct advantage in their professional endeavors and scholars engaged in this field of investigation. In this context, the photovoltaic (PV) array is methodically organized into 86 parallel strings. The aforementioned strings are meticulously constructed, consisting of a sequence of seven SunPower SPR-415E solar modules that are intentionally interconnected.

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Section: Total Harmonics Distortionmentioning

confidence: 99%

Modeling and Power Quality Enhancement of PV Interfaced with Power Grid System

Elgallai

2024

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“…The overall expenses associated with inadequate electricity quality are substantial. According to a study, it has been projected that the yearly expenditure for U.S corporations is anticipated to range from USD 119 to 188 billion, while the European sector is likely to incur a cost of EUR 150 billion Zhang et al, 2023;Sahoo et al, 2023). The primary goal of PQ standards is to govern the characteristics of electrical energy, ensuring that it meets the specific requirements of a given electrical system.…”

Section: Power Quality Issuesmentioning

confidence: 99%

Power Quality Enhancement Using Renewable Energy Sources and Electric Mobility

Khaleel

2023

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In the present day, there is a growing emergence of obstacles pertaining to the remuneration of power quality (PQ) issues. In this context, the implementation of renewable energy sources (RES) solutions has a critical significance. The transition from traditional electrical power grids to smart grids necessitates the utilization of a significant quantity of power electronics converters and RES. These converters are essential for the incorporation of crucial technologies like renewable energies, electric mobility, and energy storage systems. Consequently, PQ concerns gain heightened significance in this context. The article focuses on elucidating the primary phenomena related to PQ issues in smart grids, their origins, and consequences across various sectors. Additionally, the paper provides a comprehensive examination and categorization of the primary PQ issues, along with their corresponding alignment with established standards. It also offers an assessment of PQ problems associated with RES and their integration with electric mobility.

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“…Characterized by intuitive and simple concepts, fractional control faces challenges such as computational complexity, real-time implementation difficulties, and sensitivity to interruptions. Techniques such as fuzzy logic controllers (FLC) 23 , 24 and artificial neural networks (ANN) 25 , 26 manage complex systems without extensive modeling. FLCs handle uncertainties well but require expert knowledge for accurate membership functions (MFs).…”

Section: Introductionmentioning

confidence: 99%

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

Babes,

Latrèche,

Bouafassa

et al. 2024

Sci Rep

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This paper presents an innovative control scheme designed to significantly enhance the power factor of AC/DC boost rectifiers by integrating an adaptive neuro-fuzzy inference system (ANFIS) with predictive current control. The innovative control strategy addresses key challenges in power quality and energy efficiency, demonstrating exceptional performance under diverse operating conditions. Through rigorous simulation, the proposed system achieves precise input current shaping, resulting in a remarkably low total harmonic distortion (THD) of 3.5%, which is well below the IEEE-519 standard threshold of 5%. Moreover, the power factor reaches an outstanding 0.990, indicating highly efficient energy utilization and near-unity power factor operation. To validate the theoretical findings, a 500 W laboratory prototype was implemented using the dSPACE ds1104 digital controller. Steady-state analysis reveals sinusoidal input currents with minimal THD and a power factor approaching unity, thereby enhancing grid stability and energy efficiency. Transient response tests further demonstrate the system’s robustness against load and voltage fluctuations, maintaining output voltage stability within an 18 V overshoot and a 20 V undershoot during load changes, and achieving rapid response times as low as 0.2 s. Comparative evaluations against conventional methods underscore the superiority of the proposed control strategy in terms of both performance and implementation simplicity. By harnessing the strengths of ANFIS-based voltage regulation and predictive current control, this scheme offers a robust solution to power quality issues in AC/DC boost rectifiers, promising substantial energy savings and improved grid stability. The results affirm the potential of the proposed system to set new benchmarks in power factor correction technology.

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Scaled Conjugate-Artificial Neural Network-Based novel framework for enhancing the power quality of Grid-Tied Microgrid systems

Cited by 25 publications

References 31 publications

Modeling and Power Quality Enhancement of PV Interfaced with Power Grid System

Modeling and Power Quality Enhancement of PV Interfaced with Power Grid System

Power Quality Enhancement Using Renewable Energy Sources and Electric Mobility

A dSPACE-based implementation of ANFIS and predictive current control for a single phase boost power factor corrector

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