<span>A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed implemented PV with five modules arranged in series and integrated DC-DC buck converter. Then, tested a simulation using PowerSim (PSIM) software. TSA-MPPT under vary...

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The wind energy conversion system can deliver the maximum power when the load impedance matches with the source impedance under a given wind speed. Since the load and wind speed are varying dynamically, the maximum power point tracking (MPPT) becomes more complex. A wind-generator (WG) maximum-power-point tracking (MPPT) system is presented in the present work, consisting of a high efficiency b...

The maximum power point tracking (MPPT) control in the Photovoltaic system is the key control technology, however present controller has the disadvantages of long development cycle, high cost and complex verification, and there are some disadvantages carrying out totally physical simulation or totally digital simulation of different control algorithms. This paper carried out design of hardware ...

In this paper, a robust Maximum Power Point Tracking (MPPT) for PV array has been proposed using sliding mode control by defining a new formulation for sliding surface which is based on increment conductance (INC) method. The stability and robustness of the proposed controller are investigated to load variations and environment changes. Three different types of DC-DC converter are used in Maxim...

This paper proposes an novel maximum power point tracking (MPPT) method for the wind energy conversion system using a Fuzzy with Genetic Algorithm. The proposed output max-imitation control is achieved without mechanical sensors such as the wind speed or position sensor & the new control system will deliver maximum electric power with weightless, high efficiency, and high reliability. The MPPT ...