Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators

Qais, Mohammed H.; Hasanien, Hany M.; Alghuwainem, Saad

doi:10.1016/j.asoc.2019.105937

Cited by 76 publications

(14 citation statements)

References 67 publications

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“…Output power of a WTG 25‐29 can be stated as

P_{WTG} = \frac{1}{2} . k_{p} . ((),, β, λ) . ρ . A . {u_{ω}}^{3},

where k p is the Performance coefficient and is evaluated using Equations (2) and (3)

k_{p} . ((),, β, λ) ≜ k_{1} ((), \frac{k_{2}}{λ_{r}} - k_{3} β - k_{4}) . e^{(- \frac{k_{5}}{λ_{r}})} + k_{6} λ_{r}

\frac{1}{λ_{r}} \underline{\underset{false¯}{Δ}} \frac{1}{λ + k_{7} β} - \frac{k_{8}}{1 + β^{3}} italicAndλ \underline{\underset{false¯}{normalΔ}} \frac{w_{t} r}{u_{ω}}

…”

Section: Modeling Of the System Under Studymentioning

confidence: 99%

“…The TID controller is one of the FOCs that have been introduced firstly in Ref 33 . This controller is simply implemented in feedback systems that formerly used a classical PID controller 26 . In TID controller, the proportional component K P of the controller is multiplied with tilt controller having transfer function

S^{\frac{- 1}{n}}

.…”

Section: Controller Design and Objective Functionmentioning

confidence: 99%

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Competition over resources optimized fuzzy TIDF controller for frequency stabilization of hybrid micro‐grid system

Patel

Mohanty

Hasanien

2020

Int Trans Electr Energ Syst

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Summary This paper presents a comprehensive analytical study of conventional proportional‐integral‐derivative (PID) controller and fuzzy logic controller in a hybrid micro‐grid system (HMGS) for frequency stabilization. Conventional PID and fuzzy logic controllers are tuned by the competition over resources (COR) algorithm. The performance of proposed COR based fuzzy tilt‐integral‐derivative with filter (FTIDF) method is demonstrated on an interconnected HMGS. HMGS completes with variety of energy storage systems and different renewable generation sources. The system analysis is performed under number of scenarios. The scenarios include load fluctuations, variations in wind speed, and sun irradiance. The supremacy of FTIDF controller is established by comparing the results with CRO tuned conventional PID with filter (PIDF), fuzzy PIDF and fuzzy TIDF controllers. The effectiveness of the proposed system is investigated using simulation studies, which are performed using MATLAB/SIMULINK software.

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“…Output power of a WTG 25‐29 can be stated as

P_{WTG} = \frac{1}{2} . k_{p} . ((),, β, λ) . ρ . A . {u_{ω}}^{3},

where k p is the Performance coefficient and is evaluated using Equations (2) and (3)

k_{p} . ((),, β, λ) ≜ k_{1} ((), \frac{k_{2}}{λ_{r}} - k_{3} β - k_{4}) . e^{(- \frac{k_{5}}{λ_{r}})} + k_{6} λ_{r}

\frac{1}{λ_{r}} \underline{\underset{false¯}{Δ}} \frac{1}{λ + k_{7} β} - \frac{k_{8}}{1 + β^{3}} italicAndλ \underline{\underset{false¯}{normalΔ}} \frac{w_{t} r}{u_{ω}}

…”

Section: Modeling Of the System Under Studymentioning

confidence: 99%

S^{\frac{- 1}{n}}

.…”

Section: Controller Design and Objective Functionmentioning

confidence: 99%

Competition over resources optimized fuzzy TIDF controller for frequency stabilization of hybrid micro‐grid system

Patel

Mohanty

Hasanien

2020

Int Trans Electr Energ Syst

Self Cite

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“…Kaveh and Ilchi Ghazaan [23] proposed the enhanced whale optimization algorithm (EWOA) to improve the solution's accuracy. Compared with WOA, EWOA has fewer parameters and conditional statements [24]. e difference evolution (DE) algorithm is a robust population-based global optimization algorithm [25].…”

Section: Introductionmentioning

confidence: 99%

Structural Optimization Design of Ship Lock Heads on Soft Soil considering Time-Varying Effects of the Structure and Foundation

Bai

Zhang

et al. 2021

Mathematical Problems in Engineering

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Over time, the uneven settlements of the structure and foundation are prominent in constructing ship lock heads on soft soil. These deformations endanger the safety of ship lock heads during construction. This research aimed to establish the ship lock head’s structural optimization procedure on soft soil, considering the time-varying effects of the structure and foundation. By comprehensively considering the linear viscoelastic creep of concrete and the elastoplastic consolidation characteristic of soft soil, a perfect time-dependent analysis method for the lock head on soft soil was proposed. Furthermore, a hybrid particle swarm optimization, enhanced whale optimization, and differential evolution (PSO-EWOA-DE) algorithm was proposed to optimize thirty-four design variables of a lock head. With the minimal volume of the lock head as the optimization objective, the finite element model was established. In the optimization process, three types of constraints were evaluated. The result showed that the optimized design could reduce 10.45% of structure volume. Through comparing and analysing the maximum principle stresses and vertical displacements of the lock head before and after optimization, some conclusions were drawn. The optimization procedure proposed in this paper provides a new perspective for the structural optimization of hydraulic structures on soft soil.

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“…In this context, in order to solve the premature convergence of WOA and modify the exploration process, an enhanced WOA based on quadratic interpolation was proposed [37]. In addition, modified versions of WOA have achieved remarkable results in other applications, such as water resources demand estimation [38], maximizing the power capture of variable-speed wind turbines [39], task allocation [40], parameter identification of solar cell diode model [41], quadratic assignment problem [42], terminal voltage control of fuel cells [43], and shortterm natural gas consumption prediction [44]. Although these modifications have yielded some performance enhancements to the conventional WOA, they still suffer from other drawbacks such as lack of exploitation accuracy [36]- [39], [40], lack of exploration accuracy and getting stuck in local optima [34], [39], [41], [42], [44], and low convergence rate [34], [35], [38]- [41], that need to be adequately addressed.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Fractional Chaotic Whale Optimization Algorithm for Parameter Identification of Isolated Wind-Diesel Power Systems

2020

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Parameters identification of isolated wind-diesel power systems (WDPS) is a significant issue in stability analysis of the power system as well as guaranteeing the power generation through the control system. In this paper, enhanced whale optimization algorithms (EWOA) are proposed to deal with the parameter identification problem of a WDPS system. The proposed EWOA effectively tackles the premature convergence problem of WOA by splitting the population into two subpopulations and updating the position of each whale according to the position of the best agent in its current subpopulation, the position of the other subpopulation's best agent, and the position of the best neighboring agent. Furthermore, fractional chaotic maps are embedded in the search process of EWOA to increase its performance in terms of accuracy. For validation purposes, the proposed algorithms are applied to identify the unknown parameters of WDPS, where different statistical analyzes and comparisons are carried out with other recent state-of-the-art algorithms. Simulation results confirm that the algorithms have less deviation in parameter estimation, more convergence speed, and higher precision in comparison with other algorithms. INDEX TERMS Optimization, parameter identification, whale optimization algorithm, wind-diesel power system.

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Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators

Cited by 76 publications

References 67 publications

Competition over resources optimized fuzzy TIDF controller for frequency stabilization of hybrid micro‐grid system

Competition over resources optimized fuzzy TIDF controller for frequency stabilization of hybrid micro‐grid system

Structural Optimization Design of Ship Lock Heads on Soft Soil considering Time-Varying Effects of the Structure and Foundation

Enhanced Fractional Chaotic Whale Optimization Algorithm for Parameter Identification of Isolated Wind-Diesel Power Systems

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