Modified amplitude adaptive control algorithm for power quality improvement in multiple distributed generation system

Kewat, Seema; Singh, Bhim

doi:10.1049/iet-pel.2018.5936

Cited by 18 publications

(14 citation statements)

References 26 publications

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“…Eventually, the power electronic components cause several undesirable reflective quality issues in distributive systems. 2 The effects caused by the non-linear V-I characteristics of the power electronics semiconductor components are severe in long-term evolutions of IoT. Such non-linear loads result in generation of undesirable harmonics in current distribution and degrades the power quality in utility networks.…”

Section: Introductionmentioning

confidence: 99%

Self‐adaptive learning based controller to mitigate PQ issues in internet of things devices

Goswami

2021

Int Trans Electr Energ Syst

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The Internet of Things (IoT) systems elicit high speed, precise control and remote access to devices in public and industrial applications. The ease of remote access revokes the issue of system ambiguities due to the presence of hybrid load characteristics. The high-performance power electronics-based converters and non-linear loads pulled out several undesirable power quality issues. Among various performance pursuits, harmonic distortion analysis is at high priority in smart electronic devices. This work analyses the attributes of hybrid load system in smart IoT based devices to observe power quality issues and successful implementation of a smart self-adaptive learning technique to minimize the harmonic distortions. The model explains the risk analysis and identifies the architectural complexities of the Power Management Unit (PMU) in IoT devices. Hysteresis current control is applied for the generation of reference current to actuate the Shunt Active Power Filter (SAPF) for mitigation of harmonics distortions in distribution supply. Based on real time nonlinear load analysis parameters, ANFIS is trained to compensate the harmonic distortion. The experimental setup validates the error deviation data set for the neural network training and the adaptive control strategy. The analysed empirical weight of the neuron is adopted through various learning layers and minimizes the total harmonic distortion (THD) to a remarkable value from 72.8% to 0.81% at non-linear load. This validates the high feasibility of the control strategy in various real time smart IoT applications in accordance of IEEE 519 standards.

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Section: Introductionmentioning

confidence: 99%

Self‐adaptive learning based controller to mitigate PQ issues in internet of things devices

Goswami

2021

Int Trans Electr Energ Syst

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“…However, the above‐mentioned control techniques have shown some drawbacks like large steady‐state oscillations and higher settling time of WCC in LMS‐based control. In a case of LMF‐based control, the convergence speed of WCC is slow under load unbalancing condition [16, 17]. However, combined LMS–LMF‐based control is used to overcome the demerits of LMS and LMF control.…”

Section: Introductionmentioning

confidence: 99%

Double‐stage grid‐integrated SPV system under weak distribution grid

Kumar

Jain

Singh

et al. 2020

IET Renewable Power Generation

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This study presents a three‐phase four‐wire grid‐tied solar photovoltaic (SPV) energy conversion system with a reduced ordered generalised integrator frequency locked loop (ROGI‐FLL) based control for the extraction of fundamental grid voltages. The reference grid currents are extracted by using the proposed filtered‐s least mean square (FsLMS) current control for voltage source converter (VSC) switching. This VSC is capable of performing multifunctions like compensating harmonics of non‐linear loads, the grid currents balancing, mitigation of neutral current and it stabilises the DC link voltage. The SPV array generates the active power for feeding loads and to the grid. Matlab environment is used to develop the model of the proposed scheme and simulation results of the system are validated with test results on a developed prototype. Test results have shown the good responses at different environmental conditions. Moreover, a comparative study is performed with ROGI‐FLL controller and other controls at the grid voltages unbalancing, DC offset and the grid voltages distortion conditions. This FsLMS‐based control has shown fast convergence, less oscillations and low settling time as compared with other controls at load unbalancing. Simulated and test results have satisfied the objective of this system and it meets the IEEE‐519 standard.

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“…Particularly, the use of flexible links or interties in distribution networks to interconnect adjacent radial feeders, commonly referred to as distribution flexible ac transmission systems (D‐FACTS) [2], have demonstrated their potential to maximise the integration of DERs and the efficiency of the distribution network [3]. Among other functionalities, these allow controlling the active and reactive power flows between the interconnected feeders [4], voltage control at the point of common coupling (PCC) [5], active filter functionalities [6] and imbalance compensation in the distribution network.…”

Section: Introductionmentioning

confidence: 99%