μPMU‐based intelligent island detection – the first crucial step toward enhancing grid resilience with MG

Autor: Soham Dutta, Maddikara Jaya Bharata Reddy, Dusmanta Kumar Mohanta, Makrand Sing Kushwah, Pradip Kumar Sadhu
Rok vydání: 2020
Předmět:
nondetection zone
Computer Networks and Communications
Computer science
Reliability (computer networking)
software fault-tree analysis
Feature extraction
Real-time computing
distributed generations
random forest classifier
spectral kurtosis
intelligent μpmu
μpmu-based intelligent island detection
unintentional island
reliable unintentional island detection scheme
Units of measurement
Software
distributed power generation
extreme grid power outage
grid resiliency
solar generator bus
Electrical and Electronic Engineering
modern grid complexity
phasor measurement
signal classification
climatic change
control methodology
business.industry
feature extraction
Phasor
inadvertent island detection scheme
power grids
Grid
spectral analysis
Random forest
Power (physics)
grid resilience enhancement
random processes
time 20.0 ms
solar power stations
zero nondetection zone
detection time
microphasor measurement units
quick island detection scheme
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
lcsh:TK1-9971
analytical hierarchical approach
Information Systems
Zdroj: IET Smart Grid (2019)
ISSN: 2515-2947
DOI: 10.1049/iet-stg.2019.0161
Popis: With the increased climatic change and modern grid complexity, extreme grid power outage events caused by natural calamity and human interruptions have led to an urgency to enhance the grid resiliency. Microgrids (MGs) have proved to be a concrete solution to these situations. However, these events are quite uncertain, leading to the unintentional island of MGs that has adverse effects. Thus, as a first step toward increasing grid resiliency with MG, informing the distributed generations about the unintentional island is a critical task. Hence, there is a need to develop a quick and reliable unintentional island detection scheme. Micro phasor measurement units (μPMUs) are becoming popular in MG. Given this, this study proposes an inadvertent island detection scheme in an MG using an intelligent μPMU. With the μPMU, the voltage at solar generator bus is measured, three features are extracted through spectral kurtosis and random forest classifier is employed for island detection. After island detection, a control methodology is proposed to circumvent the post-effects. The method has zero non-detection zone, 99.83% accuracy and a detection time of 20 ms. The reliability of the algorithm is ascertained using the analytical hierarchical approach and software fault-tree analysis.
Databáze: OpenAIRE