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Summary The motor speed is variable in stand‐alone solar water pumping system (SWPS) due to intermittent nature of solar source. Hence, water flow is fluctuating under variation of sun radiation in stand‐alone SWPS, which leads to issues like underutilization of motor capacity and increase in irrigation time. Therefore, the reliability of stand‐alone SWPS is less in terms of water delivery. To increase water delivery over a day, grid‐connected SWPS is developed in this article utilizing the diode bridge as grid‐interface converter. The presented system consists of boost converter for maximum power tracking and voltage source inverter (VSI) for motor power control. In grid‐connected mode, the solar photovoltaic (SPV) power varies under the variation of ambient conditions, but the system assures maximum water delivery by drawing deficit power from the grid. This system also supports stand‐alone operation where the motor speed and corresponding water flow vary with change in ambient conditions. Because of unidirectional diode rectifier, the DC‐bus voltage rises to a high value when SPV power is more than motor power. This happens during starting of the motor when motor power rises slowly and does not match with a maximum SPV power. To tackle this issue, finite state machine (FSM)‐based power limit maximum power point tracking (MPPT) algorithm is implemented in this development. The algorithm ensures SPV power below the motor power under DC‐bus voltage rise condition. An experiment prototype is developed, and the control system is implemented on 32‐bit ARM Cortex M4 microcontroller. Experiments are performed to investigate the performance of the presented system under steady‐state and transient conditions.

The bidirectional dc-dc converter with high voltage gain and high efficiency plays an important role in the designing of battery charging systems. In this paper, design and development of a battery charging system utilizing coupled inductor based high gain dc-dc converter is presented. The converter uses a clamp capacitor network to recover the leakage energy of a coupled inductor. The converter has inherent soft-switching capability during turn ON, which ensures high efficiency at high switching frequency. Design equations to derive value of different passive components are given and a step-wise exclusive design to construct coupled inductor is presented. A 50 kHz, 500 W laboratory prototype has been designed, which can increase the voltage with 10 gain (boost operation) in one direction and can reduce the voltage at (1/10) gain (buck operation) in other direction. The CCCV battery charging algorithm is implemented using generic ARM Cortex-M4 microcontroller. Extensive experiments have been performed and the experimental results are presented in buck, boost, and battery charging operations.

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These titles are part of a unique profile on: ELECTRONIC SYSTEMS, CONTROL AND ARTIFICIAL INTELLIGENCE

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