Fuzzy-Decision-Making Predictive Power Control Approach to On-Grid Photovoltaic Panel

Authors

  • Ali Jafer Mahdi Electrical Engineering Department ,University of Kerbala, Kerbala,Iraq
  • Majid Aryanezhad Electrical Power Engineering Department, Shahid Chamran university of Ahvaz ,Ahvaz, Iran
Abstract:

In this paper, a voltage-current mode controller is proposed to adjust both the input current and DC voltage of a boost-inverter in order to improve the performance of the photovoltaic (PV). The proposed system is based on fuzzy-making-decision predictive voltage-current controller (FPVCC). The simulation results show that in case of using the proposed FPVCC, the input current of a PV array is in the limited value (i.e., is approximate 27% of the short-circuit current of a PV panel) compared with a classical voltage controller, an over-current is passing through PV array (i.e., is about 155% of the short-circuit current). Also, the waveform of the output voltage is sinusoidal with low total harmonic distortion (THD), i.e. 4.21%, and the power obtained from a PV array with FPVCC is approximately 6 times of power obtained without a controller.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Adaptive Fuzzy Model-Based Predictive Control Using Fuzzy Decision- Making

Motivated by the need to develop more effective methods of controlling uncertain non-linear systems, this paper focus on developing an adaptive fuzzy model-based controller, in which the optimisation variables remain in the fuzzy domain. The scheme uses an on-line fuzzy identification scheme, which is able to generate a fuzzy relational model using the training data from the system. The propose...

full text

A Fuzzy Decision Making Approach to Enterprise Resource Planning System Selection

Here, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of enterprise resource planning (ERP) system. The fuzzy AHP approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for ERP system selection problem. Therefore, fuzzy AHP method is used to obtain firm decis...

full text

Design and Implementation of the Predictive Current Control Strategy in the Single Phase Photovoltaic Grid-Connected Inverter Based on Microcontroller

In this paper, photovoltaic (PV) grid-connected inverter which is the core device in PV grid-connected system has been in depth research.An improved predictive current controller has been developed by the Authors for single-phase grid-connected voltage source inverters (VSI).Based on DSP TMS320LF2407A, a 10 kW single-phase grid-connected inverter has been built in this paper.Thus is aimed at us...

full text

A fuzzy group decision making approach to construction project risk management

Implementation of the risk management concepts into construction practice may enhance the performance of project by taking appropriate response actions against identified risks. This research proposes a multi-criteria group decision making approach for the evaluation of different alternative response scenarios. To take into account the uncertainties inherent in evaluation process, fuzzy logic i...

full text

Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide at...

full text

Model predictive control using fuzzy decision functions

Fuzzy predictive control integrates conventional model predictive control with techniques from fuzzy multicriteria decision making, translating the goals and the constraints to predictive control in a transparent way. The information regarding the (fuzzy) goals and the (fuzzy) constraints of the control problem is combined by using a decision function from the theory of fuzzy sets. This paper i...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 06  issue 01

pages  21- 26

publication date 2017-06-04

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023