Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration

Haoran Zhao; Qiuwei Wu; Shaojun Huang; Qinglai  Guo; Hongbin Sun; Yusheng Xue

doi:10.1109/PTC.2015.7232615

Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration

Haoran Zhao
, Qiuwei Wu
, Shaojun Huang
, Qinglai Guo
, Hongbin Sun
, Yusheng Xue

Tsinghua University
State Grid Electric Power System Research Institute

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

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Abstract

This paper proposes algorithms for optimal sitingand sizing of Energy Storage System (ESS) for the operationplanning of power systems with large scale wind power integration.The ESS in this study aims to mitigate the wind powerfluctuations during the interval between two rolling EconomicDispatches (EDs) in order to maintain generation-load balance.The charging and discharging of ESS is optimized consideringoperation cost of conventional generators, capital cost of ESSand transmission losses. The statistics from simulated systemoperations are then coupled to the planning process to determinethe optimal siting and sizing of storage units throughoutthe network. These questions are investigated using an IEEE benchmark system

Original language	English
Title of host publication	Proceedings of 2015 IEEE PowerTech.
Number of pages	6
Publisher	IEEE
Publication date	2015
ISBN (Print)	9781479976935
DOIs	https://doi.org/10.1109/PTC.2015.7232615
Publication status	Published - 2015
Event	2015 IEEE Eindhoven PowerTech - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015 https://powertech2015-eindhoven.tue.nl/ https://ieeexplore.ieee.org/xpl/conhome/7210291/proceeding

Conference

Conference	2015 IEEE Eindhoven PowerTech
Country/Territory	Netherlands
City	Eindhoven
Period	29/06/2015 → 02/07/2015
Internet address	https://powertech2015-eindhoven.tue.nl/ https://ieeexplore.ieee.org/xpl/conhome/7210291/proceeding

Keywords

Wind power
ESS
Optimal siting
Optimal sizing

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10.1109/PTC.2015.7232615

PowerTech2015 FullPaper HaoranZhaoAccepted author manuscript, 250 KB

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@inproceedings{9a5bedb5117b43b28833e0b1701d715b,

title = "Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration",

abstract = "This paper proposes algorithms for optimal sitingand sizing of Energy Storage System (ESS) for the operationplanning of power systems with large scale wind power integration.The ESS in this study aims to mitigate the wind powerfluctuations during the interval between two rolling EconomicDispatches (EDs) in order to maintain generation-load balance.The charging and discharging of ESS is optimized consideringoperation cost of conventional generators, capital cost of ESSand transmission losses. The statistics from simulated systemoperations are then coupled to the planning process to determinethe optimal siting and sizing of storage units throughoutthe network. These questions are investigated using an IEEE benchmark system",

keywords = "Wind power, ESS, Optimal siting, Optimal sizing",

author = "Haoran Zhao and Qiuwei Wu and Shaojun Huang and Qinglai Guo and Hongbin Sun and Yusheng Xue",

year = "2015",

doi = "10.1109/PTC.2015.7232615",

language = "English",

isbn = "9781479976935",

booktitle = "Proceedings of 2015 IEEE PowerTech.",

publisher = "IEEE",

address = "United States",

note = "2015 IEEE Eindhoven PowerTech ; Conference date: 29-06-2015 Through 02-07-2015",

url = "https://powertech2015-eindhoven.tue.nl/, https://ieeexplore.ieee.org/xpl/conhome/7210291/proceeding",

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T1 - Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration

AU - Zhao, Haoran

AU - Wu, Qiuwei

AU - Huang, Shaojun

AU - Guo, Qinglai

AU - Sun, Hongbin

AU - Xue, Yusheng

PY - 2015

Y1 - 2015

N2 - This paper proposes algorithms for optimal sitingand sizing of Energy Storage System (ESS) for the operationplanning of power systems with large scale wind power integration.The ESS in this study aims to mitigate the wind powerfluctuations during the interval between two rolling EconomicDispatches (EDs) in order to maintain generation-load balance.The charging and discharging of ESS is optimized consideringoperation cost of conventional generators, capital cost of ESSand transmission losses. The statistics from simulated systemoperations are then coupled to the planning process to determinethe optimal siting and sizing of storage units throughoutthe network. These questions are investigated using an IEEE benchmark system

AB - This paper proposes algorithms for optimal sitingand sizing of Energy Storage System (ESS) for the operationplanning of power systems with large scale wind power integration.The ESS in this study aims to mitigate the wind powerfluctuations during the interval between two rolling EconomicDispatches (EDs) in order to maintain generation-load balance.The charging and discharging of ESS is optimized consideringoperation cost of conventional generators, capital cost of ESSand transmission losses. The statistics from simulated systemoperations are then coupled to the planning process to determinethe optimal siting and sizing of storage units throughoutthe network. These questions are investigated using an IEEE benchmark system

KW - Wind power

KW - ESS

KW - Optimal siting

KW - Optimal sizing

U2 - 10.1109/PTC.2015.7232615

DO - 10.1109/PTC.2015.7232615

M3 - Article in proceedings

SN - 9781479976935

BT - Proceedings of 2015 IEEE PowerTech.

PB - IEEE

T2 - 2015 IEEE Eindhoven PowerTech

Y2 - 29 June 2015 through 2 July 2015

ER -

Optimal Siting and Sizing of Energy Storage System for Power Systems with Large-scale Wind Power Integration

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