Variable step size fractional incremental conductance for MPPT under changing atmospheric conditions. (9th June 2020)

• Record Type: Journal Article
• Authors: Usman Khan, Fahad; Gulzar, Muhammad Majid; Sibtain, Daud; Usman, Hafiz Muhammad; Hayat, Aamir
• Other Names: Koziel Slawomir guestEditor.; Pietrenko‐Dabrowska Anna guestEditor.
• Is Part Of: International journal of numerical modelling. Volume 33:Number 6(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-06-09
• Subjects: fractional order incremental conductance -- fractional order proportional‐integral‐derivative -- incremental conductance -- maximum power point tracking -- particle swarm optimization; Electric networks -- Mathematical models -- Periodicals; Electronics -- Mathematical models -- Periodicals; 621.3011
• DOI: 10.1002/jnm.2765
• Languages: English
• ISSNs: 0894-3370

Abstract

Abstract: This paper presents a new modified variable step size Fractional Order Incremental Conductance (FOIC) with maximum power point tracking using Fractional Order PID controller tuned by bio‐inspired Particle Swarm Optimization (PSO) to find optimal gain values of fractional integrator order (λ) and fractional derivative order (μ). The classical incremental conductance and FOIC show drawbacks under changing irradiance, oscillation around maximum power point (MPP) which decreases its convergence speed. To resolve these prone a variable step size FOIC is proposed to achieve an adaptive duty cycle via tuning of FOPID through PSO. The robustness of the proposed technique is judged by its steady‐state and dynamic response with fast converges, less response time, overshoot, and ripples under changing environmental conditions. Furthermore, the performance of the proposed technique is evaluated by comparing it with a fixed step size conventional incremental conductance algorithm and FOIC.