An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system

Firdaus, Aji Akbar; Yunardi, Riky Tri; Agustin, Eva Inaiyah; Nahdliyah, Sisca Dina Nur; Nugroho, Teguh Aryo

doi:10.11591/ijpeds.v11.i2.pp1082-1087

Cited by 15 publications

(10 citation statements)

References 21 publications

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“…To reduce pollutant emissions. [25], [26] Solar Low Total Harmonic Distortion, zero ripple output To improve power generation [27] Solar To reduce power oscillation and increase PV efficiency To attain the maximum power point is very less [28], [29] Solar and Wind…”

Section: Discussionmentioning

confidence: 99%

“…Logeswaran et al [26] have discussed about the solar system in presence of MPPT and BAT optimization it will provide more efficiency. Firdaus et al [27] have purposed the PV source with MPPT technique to increase PV efficiency by integrating fuzzy logic PSO (FL-PSO) method. Kaur and Bala [28] have purposed the concept different technology included for analyzing optimal location and capacity of DG units.…”

Section: Renewable Sources With Optimization Algorithmsmentioning

confidence: 99%

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Various PSO methods investigation in renewable and nonrenewable sources

Periasamy¹,

Kaliannan²,

Selvaraj³

et al. 2022

IJPEDS

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<p>Optimization structures are mostly considered for resolving multi-objective difficulties similar to cost, emission, and financial load dispatch in various energy sources. Non-renewable energy sources (NRES) emit harmful gases like CO<sup>2</sup>, and methane. which results in air pollutants, so various techniques are used in survey papers. By considering optimization techniques, the multi-objective problems are reduced in renewable energy sources (RES) and NRES. Implementing these techniques in RES and NRES will define the proper objective function. Hybrid algorithms are used for solving multi-objective problems like cost, pollutant emission, price penalty factor, valve point, ramp rates, and constraints like generator, power flow, power balance, and heat balance. A fuzzy system is used in numerous surveys for controlling purpose, superiority, and efficiency over other controllers. Subsequently summarized three types of sources like RES, RES-NRES, and NRES for easy identification of techniques and problems. This study reviews various techniques and mathematical modeling of algorithms for future research.</p>

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Section: Discussionmentioning

confidence: 99%

Section: Renewable Sources With Optimization Algorithmsmentioning

confidence: 99%

Various PSO methods investigation in renewable and nonrenewable sources

Periasamy¹,

Kaliannan²,

Selvaraj³

et al. 2022

IJPEDS

View full text Add to dashboard Cite

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“…PSO is a meta-heuristic algorithm that draws inspiration from migrating bird behaviour. We attribute the construction of artificial intelligence [29]. The ( 9) and (10) show the standard formulations of PSO commonly used.…”

Section: − Using Pso Algorithm For Scaling βmentioning

confidence: 99%

Using PSO algorithm for power flow management enhancement in PV-battery grid systems

Abdelkader

Merabti

Yamina³

2023

IJPEDS

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In this article, we have shown the possibility of improving the quality of the energy injected into the electrical network and the flexibility of its exchange between the different components of the proposed hybrid network (photovoltaic generator connected to the network-storage battery-load of the DC motor) to develop a control element based on the combination of fuzzy logic and an algorithm derived from PSO Animal Behavior. The proposed control works on DC/AC and bi-directional DC/DC converters, which form the basis of power management between the parts of the proposed hybrid network. MATLAB/Simulink software is used to demonstrate the effectiveness of the proposed control. The results show that the proposed control contributed to the stability of the photovoltaic energy produced, the improvement of the quality of energy injected into the network, as well as the response speed during the process of charging and discharging the battery, which gave more efficiency to the DC motor connected to the DC bus.

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“…Mohanty et al devised the grey wolf optimization in order to gather the greatest amount of electricity from the PV systems while they were partially shaded. The findings of the simulation are analyzed and contrasted with those of the P&O and enhanced particle swarm optimization (PSO) methods [3], [6], [14], [26], [34], [70], [212], [214], [253], [254]. The results of the tests demonstrated that the grey wolf optimization works better than traditional algorithms in terms of tracking speed, ripple content, and extraction efficiency [255].…”

Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Sutikno

Purnama

Aprilianto

et al. 2022

IJEECS

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Solar photovoltaic (PV) power generation has become increasingly important as a renewable source of energy due to the many benefits it offers. These benefits include the ease with which it can be allocated; the absence of noise; the longer life; the absence of pollution; the shorter amount of time required for installation; the high mobility and portability of its parts; and the capability of its output power to meet peak load requirements. DC-DC converters are typically incorporated into solar energy harvesting systems because they allow for the more efficient exploitation of solar cells. One of the difficulties is in the selection of a suitable converter since this has an effect on the operation of the PV system. This study discusses the modernisation of several different DC-DC converter topologies for solar energy harvesting systems. Some of these topologies are boost, buck-boost, single-ended primary-inductance converter (SEPIC), Cuk, and flyback. The topologies have been compared so that detailed information on the complexity of the hardware, the cost of implementation, the efficiency of the energy transfer elements, the tracking efficiency, and the efficiency of the converters can be provided. This paper will be useful as a handy reference in choosing the best converter topology for solar energy harvesting applications.

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An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system

Cited by 15 publications

References 21 publications

Various PSO methods investigation in renewable and nonrenewable sources

Various PSO methods investigation in renewable and nonrenewable sources

Using PSO algorithm for power flow management enhancement in PV-battery grid systems

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

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