A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment

Ke Qing; Zhenyuan Zhang; Qi Huang; Weihao Hu; Yanting Hu; Zhe Chen

doi:10.1109/ICPSAsia52756.2021.9621675

A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment

Ke Qing, Zhenyuan Zhang, Qi Huang, Weihao Hu, Yanting Hu, Zhe Chen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Abstract

Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN.

Original language	English
Title of host publication	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
Number of pages	6
Publisher	IEEE
Publication date	2021
Pages	1434-1439
ISBN (Print)	978-1-6654-3497-3, 978-1-6654-3499-7
ISBN (Electronic)	978-1-6654-3498-0
DOIs	https://doi.org/10.1109/ICPSAsia52756.2021.9621675
Publication status	Published - 2021
Event	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021 - Chengdu, China Duration: 18 Jul 2021 → 21 Jul 2021

Conference

Conference	2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021
Country/Territory	China
City	Chengdu
Period	18/07/2021 → 21/07/2021
Sponsor	IEEE, IEEE IAS

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT This work was supported by the National Key Research and Development Program of China (2018YFB0905200) REFERENCES

Publisher Copyright:
© 2021 IEEE.

Keywords

Battery energy storage system (BESS)
distribution network (DN)
independent investor
planning
wind curtailment

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10.1109/ICPSAsia52756.2021.9621675

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@inproceedings{3e121ef3de574212baf62515e1ffd870,

title = "A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment",

abstract = "Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN. ",

keywords = "Battery energy storage system (BESS), distribution network (DN), independent investor, planning, wind curtailment",

author = "Ke Qing and Zhenyuan Zhang and Qi Huang and Weihao Hu and Yanting Hu and Zhe Chen",

note = "Funding Information: ACKNOWLEDGEMENT This work was supported by the National Key Research and Development Program of China (2018YFB0905200) REFERENCES Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021 ; Conference date: 18-07-2021 Through 21-07-2021",

year = "2021",

doi = "10.1109/ICPSAsia52756.2021.9621675",

language = "English",

isbn = "978-1-6654-3497-3",

pages = "1434--1439",

booktitle = "2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021",

publisher = "IEEE",

address = "United States",

}

Qing, K, Zhang, Z, Huang, Q, Hu, W, Hu, Y & Chen, Z 2021, A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment. in 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021. IEEE, pp. 1434-1439, 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021, Chengdu, China, 18/07/2021. https://doi.org/10.1109/ICPSAsia52756.2021.9621675

A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment. / Qing, Ke; Zhang, Zhenyuan; Huang, Qi et al.
2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021. IEEE, 2021. p. 1434-1439.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment

AU - Qing, Ke

AU - Zhang, Zhenyuan

AU - Huang, Qi

AU - Hu, Weihao

AU - Hu, Yanting

AU - Chen, Zhe

PY - 2021

Y1 - 2021

N2 - Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN.

AB - Energy storage system is a good solution to reduce the abandonment of electricity caused by highly penetrated renewable energy. With the liberalization of the electricity market, independent investor is permitted to participate in the planning and operation of the distribution network (DN). In this paper, a planning method for battery energy storage system (BESS) to maximize the profits of the investors and reduce the wind abandonment, from the perspective of independent investors, is proposed. Considering the growth of load and renewable energy penetration, as well as the economy of investment, deployment of BESS is divided into several stages. This problem is formulated as a bi-level programming. In the upper level, the installation time, location, rated power and capacity of the battery are optimized using particle swarm optimization (PSO) method. In the lower level, the most profitable charging/discharging power of the battery is obtained by interior point method (IPM), and then the optimal power flow (OPF) is carried out to dispatch wind energy considering the constraints. The proposed method is tested on a modified IEEE 33-bus system. Experimental results show that the proposed method can not only make independent battery investors profitable, but also reduce the wind curtailment of the DN.

KW - Battery energy storage system (BESS)

KW - distribution network (DN)

KW - independent investor

KW - planning

KW - wind curtailment

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U2 - 10.1109/ICPSAsia52756.2021.9621675

DO - 10.1109/ICPSAsia52756.2021.9621675

M3 - Article in proceeding

AN - SCOPUS:85123344293

SN - 978-1-6654-3497-3

SN - 978-1-6654-3499-7

SP - 1434

EP - 1439

BT - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

PB - IEEE

T2 - 2021 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2021

Y2 - 18 July 2021 through 21 July 2021

ER -

A Novel optimized Planning Approach of BESS Considering Investor Benefit and Wind Curtailment

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