Performing islanding detection in distribution networks with interconnected photovoltaic systems using a hybrid simulation tool

2016 ◽  
Author(s):  
Ali Hariri ◽  
M. Omar Faruque
Keyword(s):  
Hybrid Simulation ◽  
Distribution Networks ◽  
Photovoltaic Systems ◽  
Simulation Tool ◽  
Islanding Detection

A Hybrid Simulation Tool for Distributed Generation Integration Studies

2018 ◽  
Author(s):  
Thainan S. Theodoro ◽  
Marcelo A. Tomim ◽  
Pedro G. Barbosa ◽  
Antonio C.S. Lima ◽  
Juan Santiago
Keyword(s):  
Distributed Generation ◽  
Hybrid Simulation ◽  
Simulation Tool

scholarly journals Development of a Hybrid Electric Vehicle Simulation Tool with a Rule-Based Topology

2021 ◽  
Vol 11 (23) ◽  
pp. 11319
Author(s):  
Hyun Woo Won
Keyword(s):  
Hybrid Electric Vehicle ◽  
Hybrid Simulation ◽  
Rule Base ◽  
Simulation Tool ◽  
Control Logic ◽  
Rule Based ◽  
Vehicle Simulation ◽  
Wide Range ◽  
Hybrid Electric ◽  
And Control

The performance of hybrid electric vehicles (HEVs) greatly depends on the various sub-system components and their architecture, and designers need comprehensive reviews of HEVs before vehicle investigation and manufacturing. Simulations facilitate development of virtual prototypes that make it possible to rapidly see the effects of design modifications, avoiding the need to manufacture multiple expensive physical prototypes. To achieve the required levels of emissions and hardware costs, designers must use control strategies and tools such as computational modeling and optimization. However, most hybrid simulation tools do not share their principles and control logic algorithms in the open literature. With this motivation, the author developed a hybrid simulation tool with a rule-based topology. The major advantage of this tool is enhanced flexibility to choose different control and energy management strategies, enabling the user to explore a wide range of hybrid topologies. The tool provides the user with the ability to modify any sub-system according to one’s own requirements. In addition, the author introduces a simple logic control for a rule-base strategy as an example to show the flexibility of the tool in allowing the adaptation of any logic algorithm by the user. The results match the experimental data quite well. Details regarding modeling principle and control logic are provided for the user’s benefit.

Islanding detection techniques for grid-connected photovoltaic systems-A review

2022 ◽  
Vol 154 ◽  
pp. 111854
Author(s):  
Mohammed Ali Khan ◽  
Ahteshamul Haque ◽  
V.S. Bharath Kurukuru ◽  
Mekhilef Saad
Keyword(s):  
Photovoltaic Systems ◽  
Islanding Detection ◽  
Detection Techniques

Evolution of Islanding Detection Methods for Microgrid Systems

2021 ◽  
pp. 221-257
Author(s):  
Mahiraj Singh Rawat ◽  
Shelly Vadhera
Keyword(s):  
Electrical Power ◽  
Distribution Networks ◽  
Detection Methods ◽  
Islanding Detection ◽  
Mass Generation ◽  
Battery Energy Storage ◽  
Photovoltaic Arrays ◽  
Battery Energy Storage Systems ◽  
Battery Energy

A microgrid is a representation of controllable electrical power network, which comprises the distributed generation (DG) such as micro-hydro, wind turbines, photovoltaic arrays, bio-mass generation, battery energy storage systems (BESSs), and a group of interconnected load. A typical microgrid can be operated in either grid connected or island mode. The issue of unintentional islanding in microgrid is a major challenge for power engineers as it may harm the service personnel working during maintenance or restoration of the main grid. In literature, various passive, active, and hybrid islanding detection methods (IDMs) have been developed and implemented by researchers/engineers. In this chapter, the proposed IDMs from the recent literature have been analyzed and briefly discussed. The primary requirement of IDMs is fast and accurate detection of main grid failure and should not deteriorate the power quality of distribution networks.

A New Islanding Detection Method Based on Wavelet-transform and ANN for Micro-grid Including Inverter Assisted Distributed Generator

2019 ◽  
Vol 20 (5) ◽  
Author(s):  
Zhengyuan Guan ◽  
Yuan Liao
Keyword(s):  
Wavelet Transform ◽  
Harmonic Distortion ◽  
Distribution Networks ◽  
Islanding Detection ◽  
Detection Zone ◽  
Distributed Generator ◽  
Voltage Unbalance ◽  
Typical Distribution ◽  
Artificial Neural Network Ann ◽  
Ann Classifier

Abstract This paper presents a new composite approach based on wavelet-transform and ANN for islanding detection of distributed generation (DG). The proposed method first uses wavelet-transform to detect the occurrence of events, and then uses artificial neural network (ANN) to classify islanding and non-islanding events. Total harmonic distortion and voltage unbalance are extracted as feature inputs for ANN classifier. The performance of the proposed method is tested by simulations for two typical distribution networks based on MATLAB/Simulink. The results show that the developed method can effectively detect islanding with low misclassification. The method has the advantages of small non-detection zone and robustness against noises.

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