Maximum Power Point Tracking in Photovoltaic Farms Using DE and PSO Algorithms: A Comparative Study

Khan, Fahad; Sunbul, Ali; Ali, Mohammad. Y.; Abdei-Gawad, Haytham; Rahnamayan, Shahryar; Sood, Vijay K.

doi:10.1109/cec.2018.8477797

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…The proposed system aims to control the magnitude and phase angle of any order of current harmonics in the distribution network. A genetic optimisation algorithm, known as Particle Swarm Optimization (PSO) [43], is employed to optimize the parameters of the proposed shifted pulse modulation technique. The proposed system can be placed at the Point of Common Coupling (PCC) to actively eliminate harmonics, as depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

Harmonics Mitigation Filter for High-Power Applications

2022

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This research work proposes a cost-effective Hybrid Active Harmonic Filter (HAHF) method to mitigate current harmonics in an industrial or commercial power network. The proposed HAHF is based on a Silicon-Controlled Rectifier with an Electronic Inductor (SCR-EI) topology with a reduced number of fully active switches and a better harmonic performance. A new shifted-pulse current modulation method is proposed to cancel harmonics caused by other converters. A Particle Swarm Optimisation (PSO) algorithm is implemented to optimise the modulation parameters and minimise the total harmonics. A lab prototype is implemented in the laboratory to validate the proposed mathematical method and simulation results.INDEX TERMS Active power filter, adjustable speed drives (ASD), harmonic mitigation, hybrid active harmonic filter, selective harmonic cancellation, power electronics, PSO algorithm.

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Section: Introductionmentioning

confidence: 99%

Harmonics Mitigation Filter for High-Power Applications

2022

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Particle Swarm Optimization-Based Photovoltaic Maximum Power Tracking Under Partial Shading Conditions: Performance Analysis

Bhoyar

Mishra

2022

Intelligent Systems

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Chaotic Particle Swarm Optimization with Attractive Search Space Border Points for Optimal Reactive Power Dispatch

Lokender

Yesuratnam

2022

JEE

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This paper presents a reliable approach for optimal reactive power dispatch based on chaotic particle swarm optimization with attractive search space border points, where the particles are randomly attracted to the boundary points of the search space in each direction avoiding stagnation of the population. The introduction of chaotic dynamics improves the stability and rate of convergence. The algorithm is further improved by using Latin Hypercube Sampling (LHS) to create diversity in the population. The proposed algorithm is used for optimal reactive power dispatch with three objective functions, namely: minimization of real power loss, voltage stability index, and sum squared voltage deviations. The algorithm is tested on a standard 30-bus system of the Institute of Electrical and Electronics Engineers (IEEE) and on a practical 75-bus Indian Power System. The results obtained with the proposed algorithm are compared with the conventional interior point method and the basic particle swarm optimization algorithm, and the effectiveness of the proposed algorithm is demonstrated.

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Maximum Power Point Tracking in Photovoltaic Farms Using DE and PSO Algorithms: A Comparative Study

Cited by 3 publications

References 18 publications

Harmonics Mitigation Filter for High-Power Applications

Harmonics Mitigation Filter for High-Power Applications

Particle Swarm Optimization-Based Photovoltaic Maximum Power Tracking Under Partial Shading Conditions: Performance Analysis

Chaotic Particle Swarm Optimization with Attractive Search Space Border Points for Optimal Reactive Power Dispatch

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