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Title: Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources

Abstract

This paper presents control algorithms and sizing strategies for using energy storage to manage energy balance for variable generation resources. The control objective is to minimize the hourly generation imbalance between the actual and the scheduled generation of the wind farm. Three control algorithms are compared: tracking power imbalance, post-compensation, and pre-compensation. Measurement data from a wind farm located in South-central Washington State are used in the study. The results show that tracking power imbalance yields the best performance by keeping the hourly energy imbalances zero. However, the energy storage system (ESS) will be significantly oversized. Post-compensation reduces power rating of the ESS but the hourly imbalance may not be kept as zero when large and long-lasting energy imbalances occur. A linear regression forecasting algorithm is developed for the pre-compensation algorithm to pre-charge or pre-discharge the ESS based on predicted energy imbalances. The performance comparison shows that the pre-compensation method significantly reduces the size of the ESS while maintaining satisfactory performance.

Authors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1163440
Report Number(s):
PNNL-SA-100072
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Sustainable Energy, 6(1):70-78
Country of Publication:
United States
Language:
English
Subject:
ENERGY STORAGE; ENERGY MANAGEMENT; OPTIMIZATION; Energy Storage; renewable integration; energy management; energy storage sizing; energy storage control; optimization

Citation Formats

Ke, Xinda, Lu, Ning, and Jin, Chunlian. Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources. United States: N. p., 2015. Web. doi:10.1109/TSTE.2014.2355829.
Ke, Xinda, Lu, Ning, & Jin, Chunlian. Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources. United States. doi:10.1109/TSTE.2014.2355829.
Ke, Xinda, Lu, Ning, and Jin, Chunlian. Thu . "Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources". United States. doi:10.1109/TSTE.2014.2355829.
@article{osti_1163440,
title = {Control and Size Energy Storage for Managing Energy balance of Variable Generation Resources},
author = {Ke, Xinda and Lu, Ning and Jin, Chunlian},
abstractNote = {This paper presents control algorithms and sizing strategies for using energy storage to manage energy balance for variable generation resources. The control objective is to minimize the hourly generation imbalance between the actual and the scheduled generation of the wind farm. Three control algorithms are compared: tracking power imbalance, post-compensation, and pre-compensation. Measurement data from a wind farm located in South-central Washington State are used in the study. The results show that tracking power imbalance yields the best performance by keeping the hourly energy imbalances zero. However, the energy storage system (ESS) will be significantly oversized. Post-compensation reduces power rating of the ESS but the hourly imbalance may not be kept as zero when large and long-lasting energy imbalances occur. A linear regression forecasting algorithm is developed for the pre-compensation algorithm to pre-charge or pre-discharge the ESS based on predicted energy imbalances. The performance comparison shows that the pre-compensation method significantly reduces the size of the ESS while maintaining satisfactory performance.},
doi = {10.1109/TSTE.2014.2355829},
journal = {IEEE Transactions on Sustainable Energy, 6(1):70-78},
number = ,
volume = ,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}