Photovoltaic MPPT Techniques Comparative Review

Lawan, Muhammad; Aboushady, Ahmed A.; Ahmed, Khaled

doi:10.1109/icrera49962.2020.9242855

Cited by 13 publications

(5 citation statements)

References 87 publications

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“…2023 will be the year when new global capacity will exceed 100 GW for the first time, with GWEC Business Intelligence forecasting 15% annual growth [3]. Recent research has delved into comparative analyses of MPPT techniques, offering valuable insights into improving efficiency in wind production systems [4]. In this paper the focus of this scheme is to develop and implement a system for controlling the speed of a wind turbine to optimize its output power.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Wind Turbine Stability and Performance: A Case Study on Speed Control and Maximum Power Point Tracking

Nawaz,

Wei Jiang,

Aimal Khan

2024

DJES

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Wind turbine performance is a critical aspect of renewable energy systems, and this study focuses on optimizing it through innovative strategies. It also discussed the different parts of WECS, such as wind turbines, generators, and control systems, to enhance their performance and efficiency. The research delves into the integration of speed control and Maximum Power Point Tracking (MPPT) mechanisms using a sophisticated Three-Phase Interleaved Buck-Boost Converter. The converter's unique topology, involving a back-to-back connection, shows a pivotal part in shaping the performance of the wind turbine. Furthermore, the near-zero implementation in MPPT strives to minimize oscillations and enhance photovoltaic panel and wind turbine efficiency. This technique, as explored in various studies, aims to achieve stable, efficient power output by reducing perturbations, ensuring optimal energy capture, and improving overall system reliability. This study investigates the transformation before and after near-zero implementation in various contexts. It explores the impact on energy efficiency with near-zero properties, and the performance of buildings, providing insights into the substantial changes brought about by near-zero initiatives. Additionally, the implementation of MPPT is explored, demonstrating that adjusting delta values can lead to faster stabilization times. By changing the negative delta value to -0.0005, the system achieves stabilization at the target power of 19 kW within 0.2 seconds. These findings emphasize the versatility of the Three-Phase Interleaved Buck-Boost Converter in enhancing both speed control and MPPT for wind turbines

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Section: Introductionmentioning

confidence: 99%

Enhancing Wind Turbine Stability and Performance: A Case Study on Speed Control and Maximum Power Point Tracking

Nawaz,

Wei Jiang,

Aimal Khan

2024

DJES

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“…However, it suffers from several drawbacks like oscillation near the maximum power. Therefore, for space applications, we examine other essential techniques such as Incremental Conductance (IC), and Ripple Correlation Control (RCC) [8]. From the above literature review, this work proposes a comparative study of the conventional P&O, IC, and RCC in two different scenarios.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of MPPTs for Nano-Satellite Microgrid Applications under Spinning Flight Scenarios

Yaqoob

Abubakr

Matas

et al. 2022

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

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This paper offers a comparative analysis of Maximum Power Point Tracking (MPPTs) techniques under the spinning conditions for small satellite applications. The Nano Satellite (NanoSat) is constrained on volume and mass with body-mounted solar panels and where it is dedicated to some special orientation scenarios, depending on specific mission requirements. This results in irregular solar irradiance on the PV system; thus, it needs an efficient and effective strategy to extract the maximum power transferred to the loads in the NanoSat Electrical Power System (EPS). While the EPS can be regarded a space microgrid due to control and coordination in a small electric network of distributed generations (DGs), storage, and loads. Therefore, some well-known MPPT techniques are investigated where different scenarios are carried out among conventional Perturb and Observe (P&O), Incremental Conductance (IC), and Ripple Correlation Control (RCC) to highlight the optimal MPPT extractions for NanoSat applications. The system was developed and modeled in MATLAB/SIMULINK and the final findings demonstrate that the RCC provides smooth power compared to other ones, while the other ones offer an oscillated power under the effect of radiations change and spinning conditions for the system under test.

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“…26 These approaches are easy to use, but unfortunately oscillations are occurred, also give lesser accuracy. The adaptive P&O approach was suggested to raise the standard P&O mode and gives greater performance, 27 but this approach has time vary convergence. The neural networks, fuzzy logic, genetic, and swarm algorithm are utilized to track maximum power in PV with the help of current and voltage measurements.…”

Section: Introductionmentioning

confidence: 99%

Maximum power extraction of hybrid photovoltaic ‐battery system with nonisolated single‐input and dual‐output DC‐DC converter: An efficient RFAMAO approach

Gomathy¹,

Senthilnathan²

2022

Intl J of Energy Research

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The DC-DC converter is more significant for the integration of photovoltaic (PV) and battery. The design of the power converter is high complexity, because of the nonlinear characteristics, like supply voltage variations, switches, load current variations, and parasitic component fluctuation. This article proposes an efficient approach for increasing the maximum power of PV system and system efficiency. The proposed approach is the consolidation of Random Forest Algorithm (RFA) and Mexican Axolotl Optimization (MAO), hence it is called RFAMAO approach. The proposed approach utilized the single-input and dual-output boost converter to implement the maximum power point tracking of the system that improves the lesser voltage input power source, controllable higher voltage direct current bus and middle voltage output terminals. RFA is used to deal with the uncertainty caused by climate change. MAO is utilized to tune the control parameter of the system. The voltage-mode controlling strategy among the PV, battery, and standalone DC load depending on Digital Signal Processing and Control Engineering (DSPACE) is utilized for uninterruptible power flow management and constant DC load voltage maintenance. The proposed approach is implemented in MATLAB/Simulink, and its efficiency is compared with existing approaches.The oscillation around maximum power point (MPP) for case 1 of RFAMAO, modified shuffled frog leaping algorithm with fuzzy logic (MSFLA-FLC), fuzzy logic, and perturb and observe (P&O) is 2. 69, 7.31, 20.54, and 29.12 W. The oscillation around MPP for case 2 of RFAMAO, MSFLA-FLC, fuzzy logic, and

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Photovoltaic MPPT Techniques Comparative Review

Cited by 13 publications

References 87 publications

Enhancing Wind Turbine Stability and Performance: A Case Study on Speed Control and Maximum Power Point Tracking

Enhancing Wind Turbine Stability and Performance: A Case Study on Speed Control and Maximum Power Point Tracking

A Comparative Study of MPPTs for Nano-Satellite Microgrid Applications under Spinning Flight Scenarios

Maximum power extraction of hybrid photovoltaic ‐battery system with nonisolated single‐input and dual‐output DC‐DC converter: An efficient RFAMAO approach

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