Nothing Special   »   [go: up one dir, main page]

Hai et al., 2024 - Google Patents

Performance enhancement of fuzzy-PID controller for MPPT of PV system to extract maximum power under different conditions

Hai et al., 2024

Document ID
3920983515388667932
Author
Hai T
Zhou J
Furukawa N
Publication year
Publication venue
Soft Computing

External Links

Snippet

In this article, a maximum Power Point Tracking (MPPT) controller is designed for photovoltaic (PV) applications. This controller has been implemented with Fuzzy Gain Scheduling of Proportional–Integral–Derivative (PID) type controller (FGS-PID). To …
Continue reading at link.springer.com (other versions)

Classifications

    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion electric or electronic aspects
    • Y02E10/563—Power conversion electric or electronic aspects for grid-connected applications
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y02E10/763—Power conversion electric or electronic aspects for grid-connected applications
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • H02J3/382—Dispersed generators the generators exploiting renewable energy
    • H02J3/386—Wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/20—Active power filtering [APF]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
    • Y02E60/76—Computer aided design [CAD]; Simulation; Modelling
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
    • G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
    • G05F1/66—Regulating electric power
    • G05F1/67—Regulating electric power to the maximum power available from a generator, e.g. from solar cell

Similar Documents

Publication Publication Date Title
Vigneysh et al. Autonomous operation and control of photovoltaic/solid oxide fuel cell/battery energy storage based microgrid using fuzzy logic controller
Xue et al. Voltage stability and sensitivity analysis of grid-connected photovoltaic systems
Elnozahy et al. Performance improvement of hybrid renewable energy sources connected to the grid using artificial neural network and sliding mode control
Ramesh et al. Intelligent adaptive LFC via power flow management of integrated standalone micro-grid system
Touil et al. A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source
Xia et al. New analysis framework for transient stability evaluation of DC microgrids
Kumar et al. CMBSNN for power flow management of the hybrid renewable energy–storage system-based distribution generation
Chamanpira et al. A novel MPPT technique to increase accuracy in photovoltaic systems under variable atmospheric conditions using Fuzzy Gain scheduling
Arzani et al. Computational approach to enhance performance of photovoltaic system inverters interfaced to utility grids
Chuang et al. Design of intelligent control for stabilization of microgrid system
Satapathy et al. A firefly optimized fast extreme learning machine based maximum power point tracking for stability analysis of microgrid with two stage photovoltaic generation system
Jia et al. Distributed model predictive control of wind and solar generation system
Alkhalaf et al. A novel hybrid gravitational and pattern search algorithm based MPPT controller with ANN and perturb and observe for photovoltaic system
Manna et al. Implementation of a novel robust model reference adaptive controller-based MPPT for stand-alone and grid-connected photovoltaic system
Dhar et al. A finite time fast terminal sliding mode I–V control of grid-connected PV array
Hai et al. Performance enhancement of fuzzy-PID controller for MPPT of PV system to extract maximum power under different conditions
Jai Andaloussi et al. Novel nonlinear control and optimization strategies for hybrid renewable energy conversion system
Mindzie et al. Dynamic Performance Improvement Using Model Reference Adaptive Control of Photovoltaic Systems under Fast‐Changing Atmospheric Conditions
Mazumdar et al. A comprehensive analysis of the optimal GWO based FOPID MPPT controller for grid-tied photovoltaics system under atmospheric uncertainty
Rani et al. Grid connected PV based on quasi resonant zeta converter with Harris Hawk optimization algorithm for the implementation of PI controller
Hata et al. Design and experimental validation of an efficient control based on variable step size P&O MPPT technique and predictive current controller for a single-phase grid-connected photovoltaic system
Chaudhary et al. Non-linear control of grid tied solar photovoltaic system considering uncertainties
Hai et al. A novel global MPPT technique to enhance maximum power from pv systems under variable atmospheric conditions
Boukhriss ADRC Control for a single-stage photovoltaic system connected to the three-phase electrical grid
Mujammal et al. Novel Direct Power Control Based on Grid Voltage Modulated Strategy Using Artificial Intelligence