Optimal harmonic reduction approach for PWM AC–AC converter using nested memetic algorithm

Pazhoohesh, Farid; Hasanvand, Saeed; Mousavi, Yashar

doi:10.1007/s00500-015-1979-8

Cited by 12 publications

(3 citation statements)

References 37 publications

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“…Besides, in FA, the brightest member always moves randomly in the search area which tends to decrease its intensity, especially at high dimensions. In this regard, many studies have incorporated external global/local search procedures (algorithms) into the FA, in order to enhance its search abilities and performance [46,48,3].…”

Section: Proposed Dynamic Weighted Parallel Famentioning

confidence: 99%

“…Both factors allow significant scope for the algorithm's improvements. Thus, investigations have been performed to enhance its performance taking advantage of other search methodologies in order to achieve even better performance [59,48,3]. In this study, an enhanced FA is developed that explores the search space with a well-connected weighted parallel strategy that enriches the population diversity and increases the information exchange between the fireflies.…”

Section: Introductionmentioning

confidence: 99%

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Fault-tolerant optimal pitch control of wind turbines using dynamic weighted parallel firefly algorithm

2022

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Section: Proposed Dynamic Weighted Parallel Famentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fault-tolerant optimal pitch control of wind turbines using dynamic weighted parallel firefly algorithm

2022

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“…Particle Swarm Optimization (PSO) algorithm was first introduced as a model of local movement for a group of animals. It has been implemented well on a variety of problems [16,17]. The algorithm contains a swarm of particles, in which each individual can be an optimal response to the problem under optimization.…”

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confidence: 99%

Multi-Objective Power Distribution Network Reconfiguration using Chaotic Fractional Particle Swarm Optimization

Mousavi¹,

Atazadegan²,

Mousavi³

2021

ECTI-EEC

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Optimization of power distribution system reconfiguration is addressed as a multi-objective problem, which considers the system losses along with other objectives, and provides a viable solution for improvement of technical and economic aspects of distribution systems. A multi-objective chaotic fractional particle swarm optimization customized for power distribution network reconfiguration has been applied to reduce active power loss, improve the voltage profile, and increase the load balance in the system through deterministic and stochastic structures. In order to consider the prediction error of active and reactive loads in the network, it is assumed that the load behaviour follows the normal distribution function. An attempt is made to consider the load forecasting error on the network to reach the optimal point for the network in accordance with the reality. The efficiency and feasibility of the proposed method is studied through standard IEEE 33-bus and 69-bus systems. In comparison with other methods, the proposed method demonstrated superior performance by reducing the voltage deviation and power losses. It also achieved better load balancing.

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Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems

Noorbin

Alfi

2017

Soft Comput

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Optimal harmonic reduction approach for PWM AC–AC converter using nested memetic algorithm

Cited by 12 publications

References 37 publications

Fault-tolerant optimal pitch control of wind turbines using dynamic weighted parallel firefly algorithm

Fault-tolerant optimal pitch control of wind turbines using dynamic weighted parallel firefly algorithm

Multi-Objective Power Distribution Network Reconfiguration using Chaotic Fractional Particle Swarm Optimization

Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems

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