In recent years, DC microgrid has attracted considerable attention of the research community because of the wide usage of DC power-based appliances. However, the acceptance of DC microgrid by power utilities is still limited due to the issues associated with the development of a reliable protection scheme. The high magnitude of DC fault current, its rapid rate of rising and absence of zero cros...

This paper presents the application of the fuzzy-neuro method toinvestigate transformer inrush current. Recently, the frequency environment ofpower systems has been made more complicated and the magnitude of the secondharmonic in inrush current has been decreased because of the improvement of caststeel. Therefore, traditional approaches will likely mal-operate in the case ofmagnetizing inrush w...

Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...

The energizing of large power transformers has long been considered a critical event in the operation of an electric power system. When a transformer is energized by the utility, a typical inrush current could be as high as ten times its rated current. This could cause many problems from mechanical stress on transformer windings to harmonics injection, and system protection malfunction. There h...

Precise detection and localization of faults in power transformer windings for ultimate protection is the key issue. The insulation quality in windings majorly determines the enduring transformers function. Achieving as accurate and efficient detection method of partial discharge (PD) in transformer windings is challenging. The occurrence of PD being primarily responsible for the transformers f...

This paper presents a new approach for classifying transient phenomena in power transformers, which may be implemented in digital relaying for transformer differential protection. Discrimination of various operating conditions of the power transformer is achieved by combining wavelet transform with Adaptive Neuro Fuzzy Inference system (ANFIS). The wavelet transform is applied for the analysis ...

This paper proposes a robust pilot protection scheme based on waveform similarity that restricts the influence of outliers in fault line identification. By comparing two refactoring currents constructed using time-domain sampling values at terminals transmission line, algorithm called Kendall's Tau coefficient (KTC) is employed to distinguish different datasets protected line. A reliable identi...

Superimposed current components contain effective information, which can be employed to enhance the dependability and security of busbar protection relays. This study aims investigate use slope degree grey incidence analysis model design a methodology for protection. A grey-based criterion has been established inspect similarities superimposed currents measured by nearby CTs inside zone. It is ...

Overload on transformer has been a principal cause of overheating in its windings, reduction efficiency, lowering lifespan and sometimes leads to burn. This can be attributed large quantity current drawn by the loads circumstances. In this paper, design topology capable providing sustainable protection from overload is presented. The designed system detects when being loaded able protect isolat...

Indonesian Navy (TNI AL) is the main component for Maritime Security and Defence. Because of that, TNI AL needs Indonesian Warship (KRI) to covered Maritime area. The main requirement from KRI is fulfilled by demand. To pock of fuel demand from KRI at Naval Base, it needs a new pipeline of fuel distribution network system. The pipeline network system used for maximum lifetime must be protected ...