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When conventional maximum power point tracking (MPPT) techniques are required to operate fast under rapidly changing environmental conditions, a large power loss can be caused by slow tracking speed, output power fluctuation, or additionally required ad hoc parameters. This paper proposes a fast and efficient MPPT technique that minimizes the power loss with the adaptively binary-weighted step (ABWS) followed by the monotonically decreased step (MDS) without causing output power fluctuation or requiring additional ad hoc parameter. The proposed MPPT system for a PV module is implemented by a boost converter with a micro-controller unit. The theoretical analysis and the simulation results show that the proposed MPPT provides fast and accurate tracking under rapidly changing environmental conditions. The experimental results based on a distributed PV systems demonstrate that the proposed MPPT technique is superior to the conventional P&O technique, which reduces the tracking time and the overall power loss by up to 82.95%, 91.51% and 82.46%, 97.71% for two PV modules, respectively. Index Terms-Photovoltaic system, distributed system, maximum power point, environmental conditions, binary-weighted step. P&O MPPT in [20], the variable step size INC (VSSINC) MPPT in [21], [24], the modified adaptive hill climbing (MAHC) MPPT in [22], and the two-step algorithm improving P&O MPPT in [23] may not be universal and thereby exhibit PV module dependency in a distributed PV systems. In addition, the problem of output power fluctuation is yet to be resolved. Another MPPT technique for fast tracking based on the binary-weighted step (BWS) is the successive approximation register (SAR) MPPT in [25]. However, the periodic operation between its active and power-down modes inherently makes the output fluctuate even in the absence of a change in environmental conditions. Moreover, the MSB operation runs

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