2018DEStech Transactions on Environment Energy and Earth ScienceRequires access

A Logic-control-based MPPT Algorithm for Stand-alone PV Power Generation System

D. Yi, Jing Chen, Cheng-Yi Yu, Dan Wang

Open publisher page 0 citations

Abstract

Maximum Power Point Tracking (MPPT) technology greatly affects the transformation efficiency of a photovoltaic system. Tracking precision and response speed requirements cannot be satisfied simultaneously using conventional perturbations and observational methods with fixed step-sizes. In this paper, a duty-cycle-based logic control algorithm for stand-alone PV systems was proposed according to the MPPT evaluation requirements. Adjusting the duty cycle of the PWM signal to track the maximum power point can be achieved by regulating the input-output relation of the converter. By comparing the power at the current moment with the previous moment, the variation tendency of the duty cycle D can be determined. In this method, the duty cycle D is adopted as a controlling parameter, and only one control cycle is required, significantly reducing the controller complexity. Using a photovoltaic array YF-M20 as an example, simulations were performed under varying light conditions, and the results indicate that the proposed method can accurately track the maximum power point of the photovoltaic system and quickly respond to changing environmental variations.

About this research paper

What this paper is about

Maximum Power Point Tracking (MPPT) technology greatly affects the transformation efficiency of a photovoltaic system. Tracking precision and response speed requirements cannot be satisfied simultaneously using conventional perturbations and observational methods with fixed step-sizes. In this paper, a duty-cycle-based logic control algorithm for stand-alone PV systems was proposed according to the MPPT evaluation requirements. Adjusting the duty cycle of the PWM signal to track the maximum power point can be achieved by regulating the input-output relation of the converter. By comparing the power at the current moment with the previous moment, the variation tendency of the duty cycle D can be determined. In this method, the duty cycle D is adopted as a controlling parameter, and only one control cycle is required, significantly reducing the controller complexity. Using a photovoltaic array YF-M20 as an example, simulations were performed under varying light conditions, and the results indicate that the proposed method can accurately track the maximum power point of the photovoltaic system and quickly respond to changing environmental variations.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Maximum Power Point Tracking (MPPT) technology greatly affects the transformation efficiency of a photovoltaic system. Tracking precision and response speed requirements cannot be satisfied simultaneously using conventional perturbations and observational methods with fixed step-sizes. In this paper, a duty-cycle-based logic control algorithm for stand-alone PV systems was proposed according to the MPPT evaluation requirements. Adjusting the duty cycle of the PWM signal to track the maximum power point can be achieved by regulating the input-output relation of the converter. By comparing the power at the current moment with the previous moment, the variation tendency of the duty cycle D can be determined. In this method, the duty cycle D is adopted as a controlling parameter, and only one control cycle is required, significantly reducing the controller complexity. Using a photovoltaic array YF-M20 as an example, simulations were performed under varying light conditions, and the results indicate that the proposed method can accurately track the maximum power point of the photovoltaic system and quickly respond to changing environmental variations.

Key concepts: Duty cycle, Maximum power point tracking, Photovoltaic system, Maximum power principle, Control theory (sociology), Pulse-width modulation, Controller (irrigation), Moment (physics)

Related papers

Back to paper searchBrowse research topicsOriginal source
A Logic-control-based MPPT Algorithm for Stand-alone PV Power Generation System — Research Paper | ScholarLens