Major faults arise in power converters mainly due to faulty MOSFET switches, diode and electrolyte capacitors. Converter with fault tolerant circuit improves the overall reliability of DC‐DC converter. We develop a self‐test configuration that identifies the faults in analog to digital converter (ADC), DC to DC converter and battery. IEEE 21451 standard‐based interface is implemented to develop a knowledge‐based smart controller. The centralized controller is performed to execute the maximum power point tracking (MPPT). Photovoltaic (PV) energy storage system is constructing to prove how the converter’s sensing, processing, and actuation capabilities in actual time may allow effective fault identification. The simulation result of the proposed method is executed in the MATLAB/Simulink working platform. The experimental results are implemented with field‐programmable gate array of Spartan‐6 Xilinx. The simulation as well as experimental result shows different fault identification in PV with energy storage system. Battery is provided through 12 V/4.5 Ah battery. The simulation and experimental results make ensure that the proposed method reveals its proficiency. It shows that the received results may fault identification at less than the period of one switching usually by 100 ms with suggested method.

The IEEE and National Institute of Standards and Technology have formulated an open universal standard called IEEE 1451 for ‘Smart Transducer Interface’ with digital systems. The objectives of this paper is to propose IEEE 21450 enabled control architectures for efficient management of power system with embedded system parameters as electronic documentation. The control architecture accommodates appropriate number of transducer interface module along with transducer electronic data sheet, which enables active calibration, adaptive tuning and failure proof operation of system management.

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