Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System

Autor: George S. Stavrakakis, Konstantinos Blazakis, Theodoros N. Kapetanakis
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Control and Optimization
Computer science
Adaptive neuro fuzzy inference system (ANFIS)
020209 energy
Reliability (computer networking)
Energy Engineering and Power Technology
Smart grid
02 engineering and technology
lcsh:Technology
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
smart grid
Data mining
Engineering (miscellaneous)
Power distribution grids
Adaptive neuro fuzzy inference system
Renewable Energy
Sustainability and the Environment
business.industry
lcsh:T
020208 electrical & electronic engineering
Volume (computing)
data mining
Smart electricity metering
Power (physics)
Reliability engineering
power theft detection
Power theft detection
non-technical losses (NTLs)
Non-technical losses (NTLs)
Electric power
Electricity
smart electricity metering
business
adaptive neuro fuzzy inference system (ANFIS)
Energy (signal processing)
Energy (miscellaneous)
power distribution grids
Zdroj: Energies; Volume 13; Issue 12; Pages: 3110
Energies, Vol 13, Iss 3110, p 3110 (2020)
ISSN: 1996-1073
DOI: 10.3390/en13123110
Popis: Summarization: Electric power grids are a crucial infrastructure for the proper operation of any country and must be preserved from various threats. Detection of illegal electricity power consumption is a crucial issue for distribution system operators (DSOs). Minimizing non-technical losses is a challenging task for the smooth operation of electrical power system in order to increase electricity provider’s and nation’s revenue and to enhance the reliability of electrical power grid. The widespread popularity of smart meters enables a large volume of electricity consumption data to be collected and new artificial intelligence technologies could be applied to take advantage of these data to solve the problem of power theft more efficiently. In this study, a robust artificial intelligence algorithm adaptive neuro fuzzy inference system (ANFIS)—with many applications in many various areas—is presented in brief and applied to achieve more effective detection of electric power theft. To the best of our knowledge, there are no studies yet that involve the application of ANFIS for the detection of power theft. The proposed technique is shown that if applied properly it could achieve very high success rates in various cases of fraudulent activities originating from unauthorized energy usage. Presented on: Energies
Databáze: OpenAIRE
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