Abstract
This research work explains the practical realization of hybrid solar wind-based standalone power system with maximum power point tracker (MPPT) to produce electrical power in rural places (residential applications). The wind inspired Ant Colony Optimization (ACO)-based MPPT algorithm is employed for the purpose of fast and accurate tracking power from wind energy system. Fuzzy Logic Control (FLC) inverter controlling strategy is adopted in this presented work compared to classical proportional-integral (PI) control. Moreover, single Cuk converter is operated as impedance power adapter to execute MPPT functioning. Here, ACO-based MPPT has been implemented with no voltage and current extra circuit requirement compared to existing evolutionary algorithms single cuk converter is employed to improve conversion efficiency of converter by maximizing power stages. DC-link voltage can be regulated by placing Cuk converter Permanent Magnet Synchronous Generator (PMSG) linked rectifier and inverter. The proposed MPPT method is responsible for rapid battery charging and gives power dispersion of battery for hybrid PV-Wind system. ACO-based MPPT provides seven times faster convergence compared to the particle swarm optimization (PSO) algorithm for achievement of maximum power point (MPP) and tracking efficiency. Satisfactory practical results have been realized using the dSPACE (DS1104) platform that justify the superiority of proposed algorithms designed under various operating situations.
Highlights
Because of abounded necessity of energy harvest and continuous depletion of fossil fuels, demands of renewable energy sources are gaining more attention [1]
Belhachat et al [17] has combined the performance of various maximum power point tracker (MPPT) techniques, which reveals that Ant Colony Optimization (ACO) method has relatively simpler implementation, very fast tracking velocity and high efficiency compared to other algorithms discussed in literature
Application of ACO model based MPPT the sensed (Voltage/Current) is transformed to WithWith application of ACO model based MPPT the sensed (Voltage/Current) is transformed to digital pulses by analog to digital converter and controller 1 and controller 2 generated signals are digital pulses by analog to digital converter and controller 1 and controller 2 generated signals collected from control desk I/O of dSPACE which is processed through insolation interface
Summary
Because of abounded necessity of energy harvest and continuous depletion of fossil fuels, demands of renewable energy sources are gaining more attention [1]. Belhachat et al [17] has combined the performance of various MPPT techniques, which reveals that Ant Colony Optimization (ACO) method has relatively simpler implementation, very fast tracking velocity and high efficiency compared to other algorithms discussed in literature. Novelty of this research paper is MPPT action with ACO technique followed by FLC inverter controller for residential PV-Wind power generation has neither been discussed nor implemented experimentally under changing operating conditions with single Cuk converter as an impedance balancer using dSPACE (DS1104) platform. The proposed hybrid PV-Wind system performance have been evaluated with PSO, FA, ABC and ACO maximum power point tracking. The main advantage of the adopted PV-Wind hybrid system is minimization of intermittence issues of PV and wind renewable sources which can work under low wind velocity and during night periods
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