2020
DOI: 10.1002/pip.3315
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CCGPA‐MPPT: Cauchy preferential crossover‐based global pollination algorithm for MPPT in photovoltaic system

Abstract: In general, the photovoltaic (PV) is considered as the best selection among renewable energy resources due to its nonpolluted operation and good flexibility condition. The PV system is affected because of the partial shading conditions (PSCs), which reduce the generated power. During steady-state operating conditions, there occurs a time delay in tracking the Global maximum power point (GMPP) and Local maximum power point (LMPP) under PSCs using the perturb and observe (P&O) method. In order to overcome such s… Show more

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Cited by 176 publications
(67 citation statements)
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“…The structural design of the pressure vessel is represented in fig. 4 that contains the working pressure and the volume of about 3000 psi and 750 ft 3 . Table 12 provides the best solutions for various approaches such as FF, SCA, PSO, ABC and proposed CSCF approaches.…”
Section: Comparison Of Cscf With Various Optimization Algorithmsmentioning
confidence: 99%
“…The structural design of the pressure vessel is represented in fig. 4 that contains the working pressure and the volume of about 3000 psi and 750 ft 3 . Table 12 provides the best solutions for various approaches such as FF, SCA, PSO, ABC and proposed CSCF approaches.…”
Section: Comparison Of Cscf With Various Optimization Algorithmsmentioning
confidence: 99%
“…29,30 In recent years, evolutionary methods have been achieved better performance in engineering applications. [31][32][33][34][35] Table 1 has summarized the possible demerits of past research works.…”
Section: Introductionmentioning
confidence: 99%
“…From the past decades, the connectivity and coverage issue (communication problem) in target‐based WSN is solved using different techniques introduced by various researchers 29,30 . In recent years, evolutionary methods have been achieved better performance in engineering applications 31‐35 . Table 1 has summarized the possible demerits of past research works.…”
Section: Introductionmentioning
confidence: 99%
“…7 In recent years, evolutionary methods have been achieved better performance in engineering applications. [8][9][10][11][12][13] This paper proposes an HSSFF approach which is the integration of two optimization algorithms, namely, salp swarm (SS) and firefly (FF) algorithms, respectively, so as to obtain the best optimal routing path. Also, this approach provides a minimum ETX value and delay.…”
Section: Introductionmentioning
confidence: 99%
“…So it is necessary to determine effective algorithms to reduce the complexity and issues in QoS routing 7 . In recent years, evolutionary methods have been achieved better performance in engineering applications 8‐13 …”
Section: Introductionmentioning
confidence: 99%