ABSTRACT
Condition monitoring of Electrical power equipment has attracted
considerable attention for years. The aim of this work is to use Fuzzy logic
(FL) Tool Box in building a simulation system that will diagnose all kinds
of incipient faults, phase to phase fault and overloading in a transformer
and monitor its conditions. Current and rate of change of current with time
have been identified as the input variables, duly represented in the
programme as “Error” and “Error-Dot”. These variables have their
universe of discourse from -1.5 to 1.5 and from -10 to 10 respectively.
Fuzzy logic sensor is designed to monitor the current(i) conditions of the
transformer at both ambient and full load. The results from the research
show that whenever the output response is zero the current in transformer
is normal. This is obtained when input values of [0] and [0] are injected
into the system to produce a response of “6e-017” which is approximately
zero. Whereas if the output response is greater than zero it implies that the
transformer current is rising beyond normal and protection scheme should
be alerted. This condition is achieved when input values of [-1.5] and [5]
are used on the system to give a response of “+5”. However, if the
response is less than zero then the transformer current is below normal,
hence the protection scheme should be alerted. To investigate this, input
values of [1.5] and [-5] give a response of “-5”. Fuzzy logic is used as an
expert system that assesses all information keyed in at the front panel to
analyze and predict the condition of the transformer at any time.
SOLOMON, O (2021). A Fault Detection And Protection Scheme For A 200 Mva Transformer Using Fuzzy Logic. Afribary. Retrieved from https://tracking.afribary.com/works/a-fault-detection-and-protection-scheme-for-a-200-mva-transformer-using-fuzzy-logic
SOLOMON, OKOLO "A Fault Detection And Protection Scheme For A 200 Mva Transformer Using Fuzzy Logic" Afribary. Afribary, 14 May. 2021, https://tracking.afribary.com/works/a-fault-detection-and-protection-scheme-for-a-200-mva-transformer-using-fuzzy-logic. Accessed 27 Nov. 2024.
SOLOMON, OKOLO . "A Fault Detection And Protection Scheme For A 200 Mva Transformer Using Fuzzy Logic". Afribary, Afribary, 14 May. 2021. Web. 27 Nov. 2024. < https://tracking.afribary.com/works/a-fault-detection-and-protection-scheme-for-a-200-mva-transformer-using-fuzzy-logic >.
SOLOMON, OKOLO . "A Fault Detection And Protection Scheme For A 200 Mva Transformer Using Fuzzy Logic" Afribary (2021). Accessed November 27, 2024. https://tracking.afribary.com/works/a-fault-detection-and-protection-scheme-for-a-200-mva-transformer-using-fuzzy-logic