In this work, Dissolved gas Analysis (DGA) has been implemented using soft computing models namely fuzzy logic and Adaptive Neuro inference system (ANFIS). DGA developed as an effective tool for the identification of transformer incipient faults. A number standards procedures have evolved over years making more reliable user friendly. comparative study two based on their ability to circumvent limitations IEC 599 standard, Rogers ratio method Doernenburg's method. The tested a reported fault...

In this paper, a transformer incipient fault diagnosis model has been developed with the help of an artificial neural network (ANN), taking into account difference in energy required to produce different gases. The key gases are indicative type prevailing transformer. However, conventional studies, gas formation is not considered while adopting method for diagnosis. work, weighting factor used take relative requirement various formations. concentrations have suitably weighted by their...

The state of cellulosic solid kraft paper (CSKP) insulation, to a large extent, is an indication transformer’s health. It not only reflects the condition transformer but also diagnose its residual life. quantity 2-furfuraldehyde (2-FAL), carbon dioxide (CO2), and monoxide (CO) dissolved in oil are useful diagnostic indicators predict CSKP insulation. In this work, current physical determined with help easily measurable parameters, like temperature, moisture, aging time. Here, degree...

E-Nose finds its use in a wide range of applications such as quality assessment food processing to toxic gas identification chemical industry either the offline or online mode. Their usage can be extended transformer condition monitoring Considering importance transformers power system and impact it could create if faults them are unidentified left unattended, their functioning should monitored on real time basis. This work, describes realization prospective for incipient fault...

In this paper, a softcomputing technique namely, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to identify and locate the incipient faults developing in an oil immersed power transformer. Dissolved gas analysis (DGA) of transformer insulating helps effective condition motoring A number interpretation standards have developed fault type based on outcome DGA. The proposed ANFIS model is upon implementation DGA standard IEC-599. ability both as well fault. model's diagnosis...

In this paper, a softcomputing technique namely, Adaptive Neuro-Fuzzy Inference System (ANFIS) has been used to identify and locate the incipient faults developing in an oil immersed power transformer. Dissolved gas analysis (DGA) of transformer insulating helps effective condition motoring A number interpretation standards have developed fault type based on outcome DGA. The proposed ANFIS model is upon implementation DGA standard IEC-599. ability both as well fault. model's diagnosis...

Abstract Avoiding financial losses requires preventing catastrophic oil‐filled power transformer breakdowns. Continuous online monitoring is needed. The authors use paper insulation to evaluate health for continuous monitoring. study suggests a new artificial intelligence method estimating residual life in oil‐immersed transformers. four models backpropagation‐based neural networks predict lifespan. Four primary insulating failure indices—degree of polymerisation, 2‐furfuraldehyde, carbon...

Abstract Power transformers, a significant and critical component of power system, require regular condition monitoring by the utilities for uninterrupted supply. The kraft paper made cellulose is used as solid insulation transformer which undergoes thermal, electrical environmental stresses causing its progressive ageing. It thereby reduces physical strength ultimately affects transformer's remaining useful life (RUL). current state (physical) cellulosic (solid) insulating predicted in this...

In recent years, Multi-level Inverter Technology is preferred for medium and high voltages power applications. electrical system most loads require ac as a source. cases where dc an input, we inverter to convert ac. Previously, the technology was limited two level voltages, which causes more distortions noise. With demand of better quality power, continuous research on has resulted in development multilevel inverter. this work, focus increase fundamental output also minimize total harmonics...

High PV penetration levels have distinct characteristics which are different from conventional generation resources. That is why, it affects the steady state as well transient stability of systems. A significant amount power may be replaced with generated by distributed Nowadays, in vogue to integrate renewable source system. The Diesel Generator high based controlled P-Q method and Fuzzy Logic control. Conventional chosen Base load generation. Boost Converter amplifies output module. THD...

The rapid growth of technologies like the Internet Things (IoT) has thrown newer challenges to resource management, making it one crucial tasks in dynamic application scenarios IoT. Service-Oriented Architecture (SOA) plays an important role this respect by proffering reference architecture towards better positioning infrastructural software and hardware components, mostly comprehending from a service-oriented perspective. In direction, we propose Cone Model that deals with performance...