Fuzzy-based smoothing of fluctuations in output power from wind and photovoltaics in a hybrid power system with batteries

Thomas Conradie, Dipesh Lamsal, Victor Sreeram, Yateendra Mishra, Deepak Kumar

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Higher penetration of intermittent renewable sources such as wind and photovoltaic systems requires an efficient way to manage the fluctuated power before injecting it into the grid. This paper proposes a fuzzy-based smoothing of the output power of wind and photovoltaic generators in a hybrid power system with batteries. The state of charge of the battery system, as well as the pitch angle of wind turbines, is used to limit the fluctuations of the injected power. A first-order filter is adaptively adjusted by incorporating changes in the battery power, state of charge, and pitch angle through the use of fuzzy logic. The proposed method is verified for different levels of state of charges, and the simulation results show that the proposed approach produces a better smoothing as compared to other methods.

Original languageEnglish
Article number2757
Number of pages14
JournalInternational Transactions on Electrical Energy System
Volume29
Issue number3
DOIs
Publication statusPublished - Mar 2019

Cite this

@article{aacd244117f24c5fb9b26a9a843e41c4,
title = "Fuzzy-based smoothing of fluctuations in output power from wind and photovoltaics in a hybrid power system with batteries",
abstract = "Higher penetration of intermittent renewable sources such as wind and photovoltaic systems requires an efficient way to manage the fluctuated power before injecting it into the grid. This paper proposes a fuzzy-based smoothing of the output power of wind and photovoltaic generators in a hybrid power system with batteries. The state of charge of the battery system, as well as the pitch angle of wind turbines, is used to limit the fluctuations of the injected power. A first-order filter is adaptively adjusted by incorporating changes in the battery power, state of charge, and pitch angle through the use of fuzzy logic. The proposed method is verified for different levels of state of charges, and the simulation results show that the proposed approach produces a better smoothing as compared to other methods.",
keywords = "battery, fuzzy logic, wind and photovoltaic generating system, STRATEGY, SPEED",
author = "Thomas Conradie and Dipesh Lamsal and Victor Sreeram and Yateendra Mishra and Deepak Kumar",
year = "2019",
month = "3",
doi = "10.1002/etep.2757",
language = "English",
volume = "29",
journal = "International Transactions on Electrical Energy System",
issn = "1430-144X",
publisher = "John Wiley & Sons",
number = "3",

}

TY - JOUR

T1 - Fuzzy-based smoothing of fluctuations in output power from wind and photovoltaics in a hybrid power system with batteries

AU - Conradie, Thomas

AU - Lamsal, Dipesh

AU - Sreeram, Victor

AU - Mishra, Yateendra

AU - Kumar, Deepak

PY - 2019/3

Y1 - 2019/3

N2 - Higher penetration of intermittent renewable sources such as wind and photovoltaic systems requires an efficient way to manage the fluctuated power before injecting it into the grid. This paper proposes a fuzzy-based smoothing of the output power of wind and photovoltaic generators in a hybrid power system with batteries. The state of charge of the battery system, as well as the pitch angle of wind turbines, is used to limit the fluctuations of the injected power. A first-order filter is adaptively adjusted by incorporating changes in the battery power, state of charge, and pitch angle through the use of fuzzy logic. The proposed method is verified for different levels of state of charges, and the simulation results show that the proposed approach produces a better smoothing as compared to other methods.

AB - Higher penetration of intermittent renewable sources such as wind and photovoltaic systems requires an efficient way to manage the fluctuated power before injecting it into the grid. This paper proposes a fuzzy-based smoothing of the output power of wind and photovoltaic generators in a hybrid power system with batteries. The state of charge of the battery system, as well as the pitch angle of wind turbines, is used to limit the fluctuations of the injected power. A first-order filter is adaptively adjusted by incorporating changes in the battery power, state of charge, and pitch angle through the use of fuzzy logic. The proposed method is verified for different levels of state of charges, and the simulation results show that the proposed approach produces a better smoothing as compared to other methods.

KW - battery

KW - fuzzy logic

KW - wind and photovoltaic generating system

KW - STRATEGY

KW - SPEED

U2 - 10.1002/etep.2757

DO - 10.1002/etep.2757

M3 - Article

VL - 29

JO - International Transactions on Electrical Energy System

JF - International Transactions on Electrical Energy System

SN - 1430-144X

IS - 3

M1 - 2757

ER -