Whale Optimization Algorithm Based Optimal MPPT of PV Power Plant (Real Case Study)

Sayed A. Helal *, M. A. Ebrahim **, Nessreen M. Rady ***, Mohamed M. Salama****
* North Cairo for Electricity Distribution Company, Cairo, Egypt.
**,**** Department of Electrical Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt.
*** New and Renewable Department of Egyptian Electricity Holding Company, Cairo, Egypt.
Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jee.12.3.15144


This study employs an advanced meta-heuristic optimization technique called Whale Optimization Algorithm (WOA) to adjust a novel Incremental Conductance (IC) based maximum power point tracking controllers for one section of a practical photovoltaic (PV) station with an overall capacity of 10 MW. Different scenarios of solar irradiance, temperature variation, and load fluctuations were used to check the feasibility of the proposed optimizer. The simulation analysis of Matlab™/Simulink results show that dynamic behavior enhancement of the overall PV system can be increased via PI/FOPI controllers tuned with in a shorter time.


Incremental Conductance, Proportional-Integral, Fractional Order Proportional- Integral, Whale Optimization Algorithm, Perturb and Observe.

How to Cite this Article?

Helal , S., A., Ebrahim, M., A., Rady, N., M., & Salama, M., M. (2019). Whale Optimization Algorithm Based Optimal MPPT of Pv Power Plant (Real Case Study)i-manager’s Journal on Electrical Engineering, 12(3), 42-55. https://doi.org/10.26634/jee.12.3.15144


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