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

Sayed, A. Helal; Ebrahim, Mohamed A.; Nessreen, M. Rady; Mankour, Mohamed

doi:10.26634/jee.12.3.15144

Cited by 2 publications

(1 citation statement)

References 53 publications

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“…WOA is proposed in 2016 from inspiration of hunting behaviour of Humback Whales and provide better optimization solutions to non-linear problems Mirjalili and Lewis (2016). Recently many research works available in literature on WOA Ebrahim et al (2019), Elazab et al (2017), Diab (2020), Helal et al (2019), Salgotra et al (2019). The biggest Whale in the world is Humback Whale and it uses a special chasing method for bubble-net feeding.…”

Section: Whale Optimization Algorithmmentioning

confidence: 99%

A Review on MPPT Algorithms for Solar Pv Systems

Senthilkumar

Mohan

Deepa

et al. 2023

Int. J. Res. Granthaalayah

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In past few decades, solar energy plays a vital role in energy production among the different renewable energy resources. In shaded/unshaded photovoltaic (PV) systems, tracking of maximum power under different environmental conditions is provided by maximum power point tracking (MPPT). In recent years many works available on different types of MPPT techniques to track maximum power from PV systems with own pros and cons. This article comprehensively reviews the different traditional methods like perturb and observation (P&O), open circuit voltage (OCV), short circuit current (SCC), hill climbing (HC), incremental conductance (IC). Also recall the advanced MPPT techniques like particle swarm optimization (PSO), grey wolf optimization (GWO), cuckoo search (CS), artificial neural networks (ANN), fuzzy logic controller (FLC) available in literature. This review is conducted based on implementation, accuracy, tracking speed, cost, merits, and demerits of each technique. Traditional MPPT methods can’t able to track global maximum power point under partial shaded conditions and exhibits less efficiency when compared with advanced soft computing methods. Hybrid methods provide good efficiency and performance than traditional and advanced methods. Authors powerfully confirm that this article offers convenient information’s to enthusiastic engineers and new researchers those who are all working in solar PV systems.

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Section: Whale Optimization Algorithmmentioning

confidence: 99%

A Review on MPPT Algorithms for Solar Pv Systems

Senthilkumar

Mohan

Deepa

et al. 2023

Int. J. Res. Granthaalayah

View full text Add to dashboard Cite

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Optimal Design of Hybrid Optimization Technique for Balancing Inverted Pendulum System

Ebrahim

Mousa

Said

et al. 2020

Wseas Transactions on Systems

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Inverted Pendulum system is one of the most exciting problems in control theory. In this research work, a new variant of Grey Wolf optimizer (GWO) via Particle Swarm Optimization (PSO) based on Adaptive Constants (AC) is proposed. The proposed technique (GWO/PSO-AC) is tested via twenty-three benchmark functions and compared to GWO based on PSO without adaptive constants (GWO/PSO). The suggested technique shows superiority in determining the optimal solutions for the well-established benchmark test functions with high computing performance compared to alternative techniques. The proposed GWO/PSO-AC technique, is employed to tune the parameters of the Variable Structure Adaptive Fuzzy (VSAF) controller in addition to the Reduced Linear Quadratic Regulator (RLQR) suggested by the authors. Both controllers are used to stabilize the cart position and to swing up the pendulum angle. The RLQR has an advantage over regular LQR, which is, the numberof the required parameters to obtain the required LQR gains is reduced. The proposed technique is compared with two optimization techniques. The proposed technique achieves high performance for both the cart position and the pendulum angle. The attained results are very promising.

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

Cited by 2 publications

References 53 publications

A Review on MPPT Algorithms for Solar Pv Systems

A Review on MPPT Algorithms for Solar Pv Systems

Optimal Design of Hybrid Optimization Technique for Balancing Inverted Pendulum System

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