A New Technology of Comprehensive Islanding Detection

Gao, Linlin; Ren, Zhiyou; Zhang, Ge; Zhang, Aijun

doi:10.14257/ijhit.2016.9.6.01

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Here, if the passive method suspects an islanding is taking place, it will be confirmed by the active method. In addition, the low NDZ level affects the system's power quality [24]. The organizational structure of the work is illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Multiple distributed generators islanding detection using GBDT-JS techniques

Goriparthy,

Balakrishnan

2024

STET

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Photovoltaic arrays, Wind Distributed generators (DG) are progressively utilized as a renewable energy source (RES) in contemporary society. Whenever a DG is detached from the grid, it often results in islanding. In accordance with the standards of the Institute for Electrical and Electronics Engineers, islanding shall be identified within a period of two seconds. This work presents a reliable algorithm-based islanding detection approach to distributed generating systems that utilizes both solar power(SPV) and wind systems.. Gradient Boosting Decision Trees and Jelly Fish Techniques are paired together to create the intelligent algorithm known as GBDT-JS algorithm. The proposed technique focuses on the rate of change in phase angle (RCPP) at the target DG position initially. Islanding and grid disturbances can be assessed by employing discrete wavelet transformations (DWTs).Furthermore, the GBDT-JS method is utilized for the categorization of islands and grid disturbances to determine if the particular system can be adopted or not in terms of various loading and switching capabilities. MATLAB/Simulink platform and Python programming are used to validate the recommended approach

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Section: Introductionmentioning

confidence: 99%

Multiple distributed generators islanding detection using GBDT-JS techniques

Goriparthy,

Balakrishnan

2024

STET

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“…Here, if the passive way suspects the islanding then the active system will confirm it. In addition, low NDZ affects the power quality of the system [24]. The organization of work is illustrated in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Islanding detection in distributed generators using GBDT-JS techniques

Goriparthy

Balakrishnan

2023

STET

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Renewable Energy Sources (RES) using PV arrays are considered and extensively employed in today’s world. Islanding is an issue that happens when The RES is connected to the grid and unexpected circuit breakers are connected to the grid trip. It is necessary to notice the islanding condition in two seconds according to IEEE standards. This manuscript proposed an effectual hybrid system for islanding detection of Solar PhotoVoltaic (SPV) based distributed generation system. The proposed technique is a hybrid combination of Gradient Boosting Decision Tree (GBDT) and Jelly Fish Search algorithm (JS) known as GBDT-JS Techniques. The main concept of this paper is to diminish the Non‐Detection Zone (NDZ) and maintain output power quality. These objectives are achieved by the proposed hybrid technique considering the Rate Of Change Of Frequency (ROCOF) at the target DG position is employed by the input assigned for the RF system in intelligent islanding detection. Here, Discrete Wavelet Transform (DWT) is employed for extracting intrinsic features among islanding and grid disturbance along GBDT. Also, the JS algorithm is used in the classification of islanding and grid disturbance. To find the feasibility of the proposed system various conditions such as different loads, switch operation, and network conditions are tested. In the validation of the proposed system MATLAB/Simulink working platform is utilized.

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