2016
DOI: 10.1002/etep.2225
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Design of multi-step LC compensator for time-varying nonlinear loads based on genetic algorithm

Abstract: Summary This article presents a method to consider the probabilistic nature of load impedance and harmonic currents by designing a multi‐step inductive‐capacitive (LC) compensator consisting of switchable units thus assuming that a single unit is not sufficient to ensure satisfactory results. The proposed algorithm divides the time period into sub‐regions according to the scheduled number of switchable units over which the multi‐step LC compensator is optimized through different performance criteria; maximizin… Show more

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Cited by 4 publications
(4 citation statements)
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“…The GA‐BPNN algorithm uses the ability of genetic algorithms (GA) to mimic biological evolution processes and finds the optimized weights and thresholds of the backpropagation neural network (BPNN). This can effectively avoid an optimal local solution of a function (Figure 3) (Ibrahiem et al, 2016; Zhao et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…The GA‐BPNN algorithm uses the ability of genetic algorithms (GA) to mimic biological evolution processes and finds the optimized weights and thresholds of the backpropagation neural network (BPNN). This can effectively avoid an optimal local solution of a function (Figure 3) (Ibrahiem et al, 2016; Zhao et al, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Queen Bee assisted GA is an improvement over traditional GA, which is again biologically inspired by Bees in a Bee‐hive. A prime force of a bee‐hive is the queen bee, and its survival is essential for the endurance of the hive 24,25 . The selection and the crossover with the best solution, to make it similar to the swarm‐based techniques in terms of the cognition.…”
Section: Queen Bee Genetic Algorithmmentioning
confidence: 99%
“…The performance of the SAPF is simulated through MATLAB/SIMULINK software 22‐25 . The overall system consists of a three‐phase three‐level diode clamped inverter, source impedance, filter impedance and a nonlinear load.…”
Section: Hardware and Simulationmentioning
confidence: 99%
“…All the individuals in the computer music creation group are equally divided into sub-populations according to the number of sub-objective functions. A sub-objective function is assigned to each sub-group [10]. Each sub-objective function independently implements selection operation in its corresponding sub-population.…”
Section: Genetic Algorithm Theorymentioning
confidence: 99%