ANZCC 2017 Paper Abstract

Close

Paper MoDOr.4

Lamsal, Dipesh (The University of Western Australia), Conradie, Thomas (The University of Western Australia), Sreeram, Victor (Univ. of Western Australia), Mishra, Yateendra (Queensland University of Technology), Kumar, Deepak (Motilal Nehru National Institute of Technology Allahabad)

A Fuzzy Logic Control Approach for Smoothing of Wind and Photovoltaic Generation Output Fluctuations

Scheduled for presentation during the Regular Session "Power Control Systems" (MoDOr), Monday, December 18, 2017, 14:45−15:00, Room 7

2017 Australian and New Zealand Control Conference, December 17-20, 2017, Gold Coast Convention Centre, Australia

This information is tentative and subject to change. Compiled on March 28, 2024

Keywords Hybrid Systems, Fuzzy and Neural Systems, Optimal Control

Abstract

Increasing levels of the wind and photovoltaic systems require innovative ways to manage the fluctuations caused due to the intermittent generation profile. This paper proposes a fuzzy logic based control approach to smooth the power output of the collocated wind and photovoltaic generation system. A first order filter is modified with a fuzzy logic controller which regulates the battery power, the state of charge and pitch angle for smoothing of the output power. The controller adjusts the time constant of the filter based on the state of charge of battery and pitch angle of wind generation system by considering the battery power. The effectiveness of the proposed approach is analyzed by considering the different values of the state of charge.

 

 

All Content © PaperCept, Inc.

This site is protected by copyright and trademark laws under US and International law.
All rights reserved. © 2002-2024 PaperCept, Inc.
Page generated 2024-03-28  18:20:33 PST  Terms of use