RETRACTED ARTICLE: Performance investigation of grid integrated photovoltaic/wind energy systems using ANFIS based hybrid MPPT controller

Naidu, R. Pavan Kumar; Meikandasivam, S.

doi:10.1007/s12652-020-01967-3

Cited by 18 publications

(4 citation statements)

References 10 publications

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“…Advanced control technology is an alternative solution to improve the overall performance of an energy system. Among them, the Maximum power point tracking (MPPT) algorithm is recognized as an effective method to solve the problem of power output efficiency of power generation system, which has been widely used in photovoltaic power generation system (PV) 10 – 13 , wind power generation system 14 , 15 , and wind solar hybrid power system 16 . In recent years, the application of MPPT in fuel cell system has been reported 17 – 19 .…”

Section: Introductionmentioning

confidence: 99%

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

2022

Sci Rep

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Maximum power point tracking (MPPT) is an effective method to improve the power generation efficiency and power supply quality of a proton exchange membrane fuel cell (PEMFC). Due to the inherent nonlinear characteristics of PEMFC, conventional MPPT methods are often difficult to achieve a satisfactory control effect. Considering this, artificial bee colony algorithm combining fuzzy control (ABC-fuzzy) was proposed to construct a MPPT control scheme for PEMFC. The global optimization ability of ABC algorithm was used to approach the maximum power point of PEMFC and solve the problem of falling into local optimization, and fuzzy control was used to eliminate the problems of large overshoot and slow convergence speed of ABC algorithm. The testing results show that compared with perturb & observe algorithm, conductance increment and ABC methods, ABC-fuzzy method can make PEMFC obtain greater output power, faster regulation speed, smaller steady-state error, less oscillation and stronger anti-interference ability. The MPPT scheme based on ABC-fuzzy can effectively realize the maximum power output of PEMFC, and plays an important role in improving the service life and power supply efficiency of PEMFC.

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Section: Introductionmentioning

confidence: 99%

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

2022

Sci Rep

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“…In the discontinuous conduction mode, these converters are implemented very effectively, due to that, upper limit inductor current is limited and protect the converter for high operating power. [14][15][16][17] The DC-DC converters have been employed to any renewable energy conversion application, like solar PV modules, air, fuel cells, low power applications, and hybrid systems. 18,19 Multiport converters are the most required converters in many applications, like electronic gadgets, PV systems, hybrid renewable energy systems, electric vehicles, fuel cell systems.…”

Section: Introductionmentioning

confidence: 99%

“…To regulate the DC link voltage, SIMO converters with series outputs are utilized. In the discontinuous conduction mode, these converters are implemented very effectively, due to that, upper limit inductor current is limited and protect the converter for high operating power 14‐17 …”

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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“…To tack the maximum power of wind and solar PV system jointly, a neural network-based controller was developed by Naidu and Meikandasivam (2021). The used model had successfully brought a trade-off between the interconnections supplied by RESs.…”

Section: Introductionmentioning

confidence: 99%

A novel ROA optimized Bi-LSTM based MPPT controller for grid connected hybrid solar-wind system

T.¹,

Kumar²,

G.³

et al. 2022

COMPEL

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Purpose Renewable energy sources such as solar photovoltaic (PV) and wind are ubiquitous because of their lower environmental impact. Output from solar PV and wind turbines is unstable; hence, this article aims to propose an effective controller to extract maximum available power. Design/methodology/approach By focusing on the varying nature of solar irradiance and wind speed, the paper presents the maximum power point tracking (MPPT) technique for renewable energy sources, and power regulation is made by the novel inverter design. Moreover, a DC–DC boost converter is adopted with solar PV, and a doubly fed induction generator is connected with the wind turbine. The proposed MPPT technique is used with the help of a rain optimization algorithm (ROA) based on bi-directional long short-term memory (Bi-LSTM) (ROA_Bi-LSTM). In addition, the sinusoidal pulse width modulation inverter is used for DC–AC power conversion. Findings The proposed MPPT technique has jointly tracked the maximum power from solar PV and wind under varying climatic conditions. The power flow to the transmission line is stabilized to protect the load devices from unregulated frequency and voltage deviations. The power to the smart grid is regulated by three-level sinusoidal pulse width modulation inverter. Originality/value The methodology and concept of the paper are taken by the author on their own. They have not taken a duplicate copy of any other research article.

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RETRACTED ARTICLE: Performance investigation of grid integrated photovoltaic/wind energy systems using ANFIS based hybrid MPPT controller

Cited by 18 publications

References 10 publications

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

Maximum power point tracking of PEMFC based on hybrid artificial bee colony algorithm with fuzzy control

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

A novel ROA optimized Bi-LSTM based MPPT controller for grid connected hybrid solar-wind system

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