Optimal Sizing of Energy Storage Devices in Isolated Wind-Diesel Systems Considering Load Growth Uncertainty

Nhung Nguyen-Hong, Huy Nguyen-Duc, Yosuke Nakanishi

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The development of wind power plants is an economical solution to provide energy to remote communities. For these isolated systems, the cogeneration of diesel generators and wind turbines is a typical configuration, but also poses several technical challenges regarding load balancing and frequency control. Auxiliary devices such as battery storages, flywheels, and dump loads are often needed to ensure a more stable operation and a higher penetration level of wind energy. However, the cost of these auxiliary devices can be substantial. This paper proposes a two-stage stochastic optimization framework to determine the optimal size of energy storage devices in a hybrid wind-diesel system. The optimization problem considers two main uncertain factors, namely the wind speed and the load growth rate. An efficient scenario reduction method is also proposed to reduce the computational burden. The optimization framework is tested with a realistic case study.

Original languageEnglish
Pages (from-to)1983-1991
Number of pages9
JournalIEEE Transactions on Industry Applications
Volume54
Issue number3
DOIs
Publication statusPublished - 2018 May 1

Fingerprint

Energy storage
Wind power
Flywheels
Wind turbines
Resource allocation
Power plants
Uncertainty
Costs

Keywords

  • Energy storage
  • stochastic optimization
  • wind energy

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

Optimal Sizing of Energy Storage Devices in Isolated Wind-Diesel Systems Considering Load Growth Uncertainty. / Nguyen-Hong, Nhung; Nguyen-Duc, Huy; Nakanishi, Yosuke.

In: IEEE Transactions on Industry Applications, Vol. 54, No. 3, 01.05.2018, p. 1983-1991.

Research output: Contribution to journalArticle

@article{f09895d3287d4d00bcdb00da13a327ff,
title = "Optimal Sizing of Energy Storage Devices in Isolated Wind-Diesel Systems Considering Load Growth Uncertainty",
abstract = "The development of wind power plants is an economical solution to provide energy to remote communities. For these isolated systems, the cogeneration of diesel generators and wind turbines is a typical configuration, but also poses several technical challenges regarding load balancing and frequency control. Auxiliary devices such as battery storages, flywheels, and dump loads are often needed to ensure a more stable operation and a higher penetration level of wind energy. However, the cost of these auxiliary devices can be substantial. This paper proposes a two-stage stochastic optimization framework to determine the optimal size of energy storage devices in a hybrid wind-diesel system. The optimization problem considers two main uncertain factors, namely the wind speed and the load growth rate. An efficient scenario reduction method is also proposed to reduce the computational burden. The optimization framework is tested with a realistic case study.",
keywords = "Energy storage, stochastic optimization, wind energy",
author = "Nhung Nguyen-Hong and Huy Nguyen-Duc and Yosuke Nakanishi",
year = "2018",
month = "5",
day = "1",
doi = "10.1109/TIA.2018.2802940",
language = "English",
volume = "54",
pages = "1983--1991",
journal = "IEEE Transactions on Industry Applications",
issn = "0093-9994",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "3",

}

TY - JOUR

T1 - Optimal Sizing of Energy Storage Devices in Isolated Wind-Diesel Systems Considering Load Growth Uncertainty

AU - Nguyen-Hong, Nhung

AU - Nguyen-Duc, Huy

AU - Nakanishi, Yosuke

PY - 2018/5/1

Y1 - 2018/5/1

N2 - The development of wind power plants is an economical solution to provide energy to remote communities. For these isolated systems, the cogeneration of diesel generators and wind turbines is a typical configuration, but also poses several technical challenges regarding load balancing and frequency control. Auxiliary devices such as battery storages, flywheels, and dump loads are often needed to ensure a more stable operation and a higher penetration level of wind energy. However, the cost of these auxiliary devices can be substantial. This paper proposes a two-stage stochastic optimization framework to determine the optimal size of energy storage devices in a hybrid wind-diesel system. The optimization problem considers two main uncertain factors, namely the wind speed and the load growth rate. An efficient scenario reduction method is also proposed to reduce the computational burden. The optimization framework is tested with a realistic case study.

AB - The development of wind power plants is an economical solution to provide energy to remote communities. For these isolated systems, the cogeneration of diesel generators and wind turbines is a typical configuration, but also poses several technical challenges regarding load balancing and frequency control. Auxiliary devices such as battery storages, flywheels, and dump loads are often needed to ensure a more stable operation and a higher penetration level of wind energy. However, the cost of these auxiliary devices can be substantial. This paper proposes a two-stage stochastic optimization framework to determine the optimal size of energy storage devices in a hybrid wind-diesel system. The optimization problem considers two main uncertain factors, namely the wind speed and the load growth rate. An efficient scenario reduction method is also proposed to reduce the computational burden. The optimization framework is tested with a realistic case study.

KW - Energy storage

KW - stochastic optimization

KW - wind energy

UR - http://www.scopus.com/inward/record.url?scp=85041547515&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041547515&partnerID=8YFLogxK

U2 - 10.1109/TIA.2018.2802940

DO - 10.1109/TIA.2018.2802940

M3 - Article

AN - SCOPUS:85041547515

VL - 54

SP - 1983

EP - 1991

JO - IEEE Transactions on Industry Applications

JF - IEEE Transactions on Industry Applications

SN - 0093-9994

IS - 3

ER -