A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment

Abdullah, Muhammad; Malik, Tahir Nadeem; Ahmed, Ali; Nadeem, Muhammad Faisal; Khan, Irfan; Bo, Rui

doi:10.3390/en14092587

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…The solution to the harmonic estimation problem is significantly reported in the literature with different hybrid approaches [24][25][26][27]. The key objectives of combining both least square and meta-heuristic algorithms are to improve the convergence and accuracy of the results.…”

Section: Proposed Research Methodologymentioning

confidence: 99%

Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads

et al. 2023

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The electric power quality has become a serious concern for electric utilities and end users owing to its undesirable effects on system capabilities and performance. Harmonic levels on power systems have been pronounced to a greater extent with the continuous growth in the application of solid-state and reactive power compensatory devices. Harmonics are the key constituents that are mainly responsible for power quality deterioration. Power system harmonics need to be correctly estimated and filtered to increase power quality. This research work focuses on accurate estimation of power system harmonics with the proposed hybrid weighted least-square multi-verse optimizer (WLS–MVO) based framework. Multi-verse optimizer replicates the phenomenon of the formation of new universes as described by multi-verse theory to solve complex real-world optimization problems. The proposed WLS–MVO framework is tested and validated by estimating the harmonics present in multiple test signals with different noise levels. Amplitudes and phases of harmonics present in the polluted signal were estimated, and the framework computational time was compared with the previously developed technique’s results which are reported in the literature. There was 80% reduction in computational time and 82% improvement in terms of accuracy in estimating harmonics using WLS–MVO as compared to previously developed techniques. The performance of the developed framework is further validated by estimating the harmonics present in the real-time voltage and current waveforms obtained from axial flux permanent magnet generator (AFPMSG), uninterruptible power supply (UPS), and light-emitting diode (LED). The purposed technique technique outperforms the already-developed techniques, in terms of accuracy and computational time.

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Section: Proposed Research Methodologymentioning

confidence: 99%

Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads

et al. 2023

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Harmonic Estimation of Modern Power System Using Improved Grey Wolf Optimization- Based Recursive Least Square Approach

Bhoi

Mallick

Nayak

et al. 2023

2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE)

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Inter- and sub-harmonics estimation: Treatise on raptor-inspired Harris Hawks collective wisdom

Malik,

Chang,

Chaudhary

et al. 2024

Int. J. Mod. Phys. C

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In contemporary power systems, harmonics as undesired electrical phenomena, have drawn considerable attention of the research community investigating in design and development of optimal electrical networks. Harmonics affect the power electronics devices with a number of negative impacts, including higher power losses, worse power quality, and interference with other delicate grid connected equipment. An objective function of inter- and sub-harmonics is constructed for joint estimation of amplitude and phase with known frequency. Accurate estimation of the harmonics model is carried out with stupendous knacks of raptor-inspired Harris Hawks optimization algorithm (HHOA), a revolutionary population-based, nature-motivated optimization approach. The primary sources of inspiration for HHOA are Harris Hawks cooperative demeanor and surprise pounce chasing style in nature. The HHOA’s performance is assessed for harmonics parameter estimation with several noise conditions, differing particle sizes and iterations. The proposed HHOA-based estimation technique provides accurate, convergent and robust performance for harmonics estimation. The reliable level of fitness is achieved consistently in the range of 10−3 to 10−10, an evidence of valuable precision, stability and robustness of the proposed algorithm.

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A Novel Hybrid GWO-LS Estimator for Harmonic Estimation Problem in Time Varying Noisy Environment

Cited by 4 publications

References 40 publications

Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads

Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads

Harmonic Estimation of Modern Power System Using Improved Grey Wolf Optimization- Based Recursive Least Square Approach

Inter- and sub-harmonics estimation: Treatise on raptor-inspired Harris Hawks collective wisdom

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