Wind power dispatch control with battery energy storage using model predictive control

Arash Khatamianfar; Muhammad Khalid; Andrey V. Savkin; Vassilios G. Agelidis

doi:10.1109/CCA.2012.6402350

Wind power dispatch control with battery energy storage using model predictive control

Arash Khatamianfar^*
, Muhammad Khalid
, Andrey V. Savkin
, Vassilios G. Agelidis

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

The purpose of integrating a battery energy storage system (BESS) with large scale wind farms is to compensate the intermittency of the wind power and also to make wind farms more dispatchable and competitive against the conventional power plants. This paper presents a novel wind power dispatch control scheme with a BESS based on model predictive control to manage the amount of energy generated and sold to the electricity market, and to optimize the operation of the BESS. The proposed control scheme follows a decision policy of selling more energy at peak demand/price times and storing it at off-peak periods in compliance with the electricity rules of the Australian national electricity market. The effectiveness of the proposed control scheme is examined by simulation results using actual wind farm and electricity price data.

Original language	English
Title of host publication	2012 IEEE International Conference on Control Applications, CCA 2012
Pages	733-738
Number of pages	6
DOIs	https://doi.org/10.1109/CCA.2012.6402350
State	Published - 2012
Externally published	Yes

Publication series

Name	Proceedings of the IEEE International Conference on Control Applications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Australian electricity market
Wind power
battery energy storage
control applications
model predictive control
power dispatch
renewable energy

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
General Mathematics

Access to Document

10.1109/CCA.2012.6402350

Cite this

Khatamianfar, A., Khalid, M., Savkin, A. V., & Agelidis, V. G. (2012). Wind power dispatch control with battery energy storage using model predictive control. In 2012 IEEE International Conference on Control Applications, CCA 2012 (pp. 733-738). Article 6402350 (Proceedings of the IEEE International Conference on Control Applications). https://doi.org/10.1109/CCA.2012.6402350

@inproceedings{14ffc9aeb03243b592265f86035ac314,

title = "Wind power dispatch control with battery energy storage using model predictive control",

abstract = "The purpose of integrating a battery energy storage system (BESS) with large scale wind farms is to compensate the intermittency of the wind power and also to make wind farms more dispatchable and competitive against the conventional power plants. This paper presents a novel wind power dispatch control scheme with a BESS based on model predictive control to manage the amount of energy generated and sold to the electricity market, and to optimize the operation of the BESS. The proposed control scheme follows a decision policy of selling more energy at peak demand/price times and storing it at off-peak periods in compliance with the electricity rules of the Australian national electricity market. The effectiveness of the proposed control scheme is examined by simulation results using actual wind farm and electricity price data.",

keywords = "Australian electricity market, Wind power, battery energy storage, control applications, model predictive control, power dispatch, renewable energy",

author = "Arash Khatamianfar and Muhammad Khalid and Savkin, \{Andrey V.\} and Agelidis, \{Vassilios G.\}",

year = "2012",

doi = "10.1109/CCA.2012.6402350",

language = "English",

isbn = "9781467345033",

series = "Proceedings of the IEEE International Conference on Control Applications",

pages = "733--738",

booktitle = "2012 IEEE International Conference on Control Applications, CCA 2012",

}

Wind power dispatch control with battery energy storage using model predictive control. / Khatamianfar, Arash; Khalid, Muhammad; Savkin, Andrey V. et al.
2012 IEEE International Conference on Control Applications, CCA 2012. 2012. p. 733-738 6402350 (Proceedings of the IEEE International Conference on Control Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Wind power dispatch control with battery energy storage using model predictive control

AU - Khatamianfar, Arash

AU - Khalid, Muhammad

AU - Savkin, Andrey V.

AU - Agelidis, Vassilios G.

PY - 2012

Y1 - 2012

N2 - The purpose of integrating a battery energy storage system (BESS) with large scale wind farms is to compensate the intermittency of the wind power and also to make wind farms more dispatchable and competitive against the conventional power plants. This paper presents a novel wind power dispatch control scheme with a BESS based on model predictive control to manage the amount of energy generated and sold to the electricity market, and to optimize the operation of the BESS. The proposed control scheme follows a decision policy of selling more energy at peak demand/price times and storing it at off-peak periods in compliance with the electricity rules of the Australian national electricity market. The effectiveness of the proposed control scheme is examined by simulation results using actual wind farm and electricity price data.

AB - The purpose of integrating a battery energy storage system (BESS) with large scale wind farms is to compensate the intermittency of the wind power and also to make wind farms more dispatchable and competitive against the conventional power plants. This paper presents a novel wind power dispatch control scheme with a BESS based on model predictive control to manage the amount of energy generated and sold to the electricity market, and to optimize the operation of the BESS. The proposed control scheme follows a decision policy of selling more energy at peak demand/price times and storing it at off-peak periods in compliance with the electricity rules of the Australian national electricity market. The effectiveness of the proposed control scheme is examined by simulation results using actual wind farm and electricity price data.

KW - Australian electricity market

KW - Wind power

KW - battery energy storage

KW - control applications

KW - model predictive control

KW - power dispatch

KW - renewable energy

UR - https://www.scopus.com/pages/publications/84873200702

U2 - 10.1109/CCA.2012.6402350

DO - 10.1109/CCA.2012.6402350

M3 - Conference contribution

AN - SCOPUS:84873200702

SN - 9781467345033

T3 - Proceedings of the IEEE International Conference on Control Applications

SP - 733

EP - 738

BT - 2012 IEEE International Conference on Control Applications, CCA 2012

ER -

Wind power dispatch control with battery energy storage using model predictive control

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this