Islanding Detection of Distributed Generation Using Electrical Variables in Space Vector Domain

Alam, M. R.; Begum, Most. Tasneem Ara; Mather, Barry

doi:10.1109/tpwrd.2019.2929784

Cited by 24 publications

(7 citation statements)

References 26 publications

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“…15, through analyzing the other cases of PSQFs at primary sides of the transformers with connections of Y,d or D,y, it is found that fiir should still be selected in accordance with (19), and ( 20) is still true. With regard to negative sequence irregular currents, by following the above analysis, (20) and an equation similar to (19) are also derived. In summary, the final usable fiir are shown in the following:…”

Section: ) Faults At Dg Unit Output Terminals or Secondary Sides Of T...mentioning

confidence: 99%

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

Liu

Zhao

Qing

et al. 2022

IEEE Trans. Power Electron.

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Section: ) Faults At Dg Unit Output Terminals or Secondary Sides Of T...mentioning

confidence: 99%

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

Liu

Zhao

Qing

et al. 2022

IEEE Trans. Power Electron.

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“…These methods have low detection time and good accuracy but are applicable only to MG having IIDERs. Three‐phase voltage ellipse parameters are used in References 23 and 24 to determine the voltage sag and swell and the concept is further extended to passive islanding detection in Reference 25. The inclination angle of the ellipse formed by the change of frequency (

{\boldsymbol{\sigma}}_{\mathbf{f}}

), rate of change of frequency (

{\boldsymbol{\rho}}_{\mathbf{f}}

), and rotor angle deviation (

\boldsymbol{\varDelta} \boldsymbol{\delta}

) is used as islanding detection metric.…”

Section: Introductionmentioning

confidence: 99%

A novel CSoDoA based passive islanding detection technique for multi‐DER AC microgrid control

2023

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Micro‐grid islanding methods are gaining importance as the presence of renewable energy resources is becoming increasingly popular in power distribution. Among all the islanding methods, passive methods are easy to implement and applicable to all types of DERs provided the NDZ is minimized. This article presents a novel passive islanding detection method based on the CSoDoA of ellipse formed by the successive phase voltages to address the NDZ problem. The peak magnitude and phase angle difference of voltages are the parameters to be estimated to compute the area of the ellipse. State‐of‐the‐art passive methods consider the effect of either magnitude or phase angle or frequency as an islanding detection metric. The CSoDoA metric combines the effect of both magnitude and phase angle thereby reducing the NDZ. The proposed method is validated on both synchronous and inverter‐interfaced DERs. The test systems considered are both single‐DER based MG and modified IEEE 13 bus multi‐DER MG. The CSoDoA algorithm is implemented on a Raspberry‐Pi controller and validated using HIL workbench with real‐time simulator OP‐4510. Various islanding and non‐islanding events are simulated, tested and it is evident from the results that it has a very small NDZ.

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“…In viewpoint of the sensitive industries and hybrid energy storage systems, the prevalent compensation strategies cannot present good results in case of the long‐time voltage disturbances caused by the load detachment, generator tripping, line disconnection, and capacitor‐bank energization 8,9 . The relevant compensators and regulators are generally based on the tap‐changers, uninterruptible power supplies, and DVR 10–12 .…”

Section: Introductionmentioning

confidence: 99%

Robust fractional‐order super‐twisting sliding mode control to accurately regulate lithium‐battery / super‐capacitor hybrid energy storage system

Falehi

Torkaman

2021

Int J Energy Res

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Summary One of the main challenges in front of the inventors and researchers to compensate the power quality problems is the existence of an efficient and reliable electric energy source for dynamic voltage restorer (DVR). Recent advances in the technologies of lithium‐battery (LB) and super‐capacitor (SC) have made them possible to be used as hybrid energy storage system (HESS) for DC‐power supply of DVR. But then, a robust and efficient controller must be essentially designed to compensate the intricate correlation between system components, unknown nonlinearities, parameter uncertainties related to the HESS. Hence, fractional‐order super‐twisting sliding mode control (FOSTSMC) is proposed for LB/SC‐HESS to smoothly and accurately smoothly track the current reference and control the DC‐link voltage of the asymmetric half‐cascaded multilevel inverter of DVR during different compensation conditions. As the primary controller, FOSTSMC has compensated the unknown nonlinear parts and parameter uncertainties related to LB/SC‐HESS through the real‐time disturbance estimation using sliding mode state and disturbance observer (SMSDO). Both the battery current and DC‐link voltage due to the physical measurability are chosen to design the control scheme based on the proposed FOSTSMC. The proposed controller has been compared with the proportional integral derivative and the sliding mode control under different probable scenarios to evaluate and validate its observability and controllability. To better present the effects of FOSTSMC, AHCMLI, and HESS‐based DVR, they have been quantified as follows: Three real‐time stability benchmarks that is, overshoot, undershoot and settling time are respectively attained for FOSTSMC: 0.6, 0.4, and 0.03; for sliding mode control: 1.1, 0.7 and 0.019; for proportional integral derivative: 0.9, 2, and 0.117. That is to say, FOSTSMC can smoothly and accurately track the current reference and control the DC‐link voltage during different compensation conditions as compared with other controllers. Asymmetric half‐cascaded multilevel inverter can provide 33 steps with consideration of 12 unidirectional switches, whereas binary, trinary, and other multilevel structures can provide less than 27 steps with consideration of 12 switches. The quasi‐AC voltage synthesizer‐based DVR can completely and accurately compensate the voltage sag and swell with THD of 2.12 and 2.35, respectively. The THD of mal‐compensation voltage sag and swell using the conventional DVR are respectively 11.57 and 13.86.

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Islanding Detection of Distributed Generation Using Electrical Variables in Space Vector Domain

Cited by 24 publications

References 26 publications

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

A novel CSoDoA based passive islanding detection technique for multi‐DER AC microgrid control

Robust fractional‐order super‐twisting sliding mode control to accurately regulate lithium‐battery / super‐capacitor hybrid energy storage system

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