Distributed generation and energy storage system planning for a distribution system operator

Jing Qiu; Zhao Xu; Yu Zheng; Dongxiao Wang; Zhao Yang Dong

doi:10.1049/iet-rpg.2018.5115

Distributed generation and energy storage system planning for a distribution system operator

Jing Qiu^*
, Zhao Xu
, Yu Zheng
, Dongxiao Wang
, Zhao Yang Dong

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

61 Citations (Scopus)

Abstract

The smart distribution system architecture provides value-based control techniques that facilitate bi-directional power flows and energy transactions. Although consensus and understanding continue to develop around peer-to-peer transactions, a distribution system operator aims to promote and enable interoperability among entities, particularly those who own distributed energy resources such as energy storage system (ESS) and distributed generation (DG). In this study, the authors address the optimal allocation of ESS and DG in the smart distribution system architecture, in order to help the integration of wind energy. The formulated objective is to minimise the sum of the annualised investment cost, the expected profit and the imbalance cost in the two-stage of power scheduling. The proposed model is verified on the modified IEEE 15-bus distribution radial system. The simulation results have verified the proposed planning approach. Also, results show that a more risk-seeking operation strategy is recommended if wind power penetration increases. © The Institution of Engineering and Technology 2018.

Original language	English
Pages (from-to)	1345-1353
Journal	IET Renewable Power Generation
Volume	12
Issue number	12
DOIs	https://doi.org/10.1049/iet-rpg.2018.5115
Publication status	Published - 10 Sept 2018
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

RGC Funding Information

RGC-funded

Access Output

10.1049/iet-rpg.2018.5115

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{0a7545216088446790c11d74a7e3ec5e,

title = "Distributed generation and energy storage system planning for a distribution system operator",

abstract = "The smart distribution system architecture provides value-based control techniques that facilitate bi-directional power flows and energy transactions. Although consensus and understanding continue to develop around peer-to-peer transactions, a distribution system operator aims to promote and enable interoperability among entities, particularly those who own distributed energy resources such as energy storage system (ESS) and distributed generation (DG). In this study, the authors address the optimal allocation of ESS and DG in the smart distribution system architecture, in order to help the integration of wind energy. The formulated objective is to minimise the sum of the annualised investment cost, the expected profit and the imbalance cost in the two-stage of power scheduling. The proposed model is verified on the modified IEEE 15-bus distribution radial system. The simulation results have verified the proposed planning approach. Also, results show that a more risk-seeking operation strategy is recommended if wind power penetration increases. {\textcopyright} The Institution of Engineering and Technology 2018.",

author = "Jing Qiu and Zhao Xu and Yu Zheng and Dongxiao Wang and Dong, \{Zhao Yang\}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2018",

month = sep,

day = "10",

doi = "10.1049/iet-rpg.2018.5115",

language = "English",

volume = "12",

pages = "1345--1353",

journal = "IET Renewable Power Generation",

issn = "1752-1416",

publisher = "John Wiley \& Sons",

number = "12",

}

TY - JOUR

T1 - Distributed generation and energy storage system planning for a distribution system operator

AU - Qiu, Jing

AU - Xu, Zhao

AU - Zheng, Yu

AU - Wang, Dongxiao

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2018/9/10

Y1 - 2018/9/10

N2 - The smart distribution system architecture provides value-based control techniques that facilitate bi-directional power flows and energy transactions. Although consensus and understanding continue to develop around peer-to-peer transactions, a distribution system operator aims to promote and enable interoperability among entities, particularly those who own distributed energy resources such as energy storage system (ESS) and distributed generation (DG). In this study, the authors address the optimal allocation of ESS and DG in the smart distribution system architecture, in order to help the integration of wind energy. The formulated objective is to minimise the sum of the annualised investment cost, the expected profit and the imbalance cost in the two-stage of power scheduling. The proposed model is verified on the modified IEEE 15-bus distribution radial system. The simulation results have verified the proposed planning approach. Also, results show that a more risk-seeking operation strategy is recommended if wind power penetration increases. © The Institution of Engineering and Technology 2018.

AB - The smart distribution system architecture provides value-based control techniques that facilitate bi-directional power flows and energy transactions. Although consensus and understanding continue to develop around peer-to-peer transactions, a distribution system operator aims to promote and enable interoperability among entities, particularly those who own distributed energy resources such as energy storage system (ESS) and distributed generation (DG). In this study, the authors address the optimal allocation of ESS and DG in the smart distribution system architecture, in order to help the integration of wind energy. The formulated objective is to minimise the sum of the annualised investment cost, the expected profit and the imbalance cost in the two-stage of power scheduling. The proposed model is verified on the modified IEEE 15-bus distribution radial system. The simulation results have verified the proposed planning approach. Also, results show that a more risk-seeking operation strategy is recommended if wind power penetration increases. © The Institution of Engineering and Technology 2018.

UR - https://www.scopus.com/pages/publications/85052784762

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85052784762&origin=recordpage

U2 - 10.1049/iet-rpg.2018.5115

DO - 10.1049/iet-rpg.2018.5115

M3 - RGC 21 - Publication in refereed journal

SN - 1752-1416

VL - 12

SP - 1345

EP - 1353

JO - IET Renewable Power Generation

JF - IET Renewable Power Generation

IS - 12

ER -

Distributed generation and energy storage system planning for a distribution system operator

Abstract

Bibliographical note

UN SDGs

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this