Mining transient stability database for rule-based preventive control of power systems

Yuchen Zhang; Yan Xu; Zhao Yang Dong; Rui Zhang; Wenxiao Wei

doi:10.1109/PESGM.2016.7741566

Mining transient stability database for rule-based preventive control of power systems

Yuchen Zhang, Yan Xu, Zhao Yang Dong, Rui Zhang, Wenxiao Wei

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

Power system stability has been a fundamental topic in power engineering area. Recently, with the growth of load demand and the utilization of renewable energy, the preventive control of power system transient stability becomes more challenging. Following the trend of applying intelligent approaches to solve stability problems, this paper proposes a decision tree (DT)-based online preventive control scheme which includes a new database proposed for generation rescheduling. The variation of load, wind power, and generation scheduling are simultaneously included in the proposed database and the DT is trained in a self-adaptive way to avoid unnecessary increase of cost and to accelerate the overall computational speed. The proposed preventive control scheme is tested on New England 39-bus system and the results verify its effectiveness and efficiency. © 2016 IEEE.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
Volume	2016-November
ISBN (Print)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741566
Publication status	Published - 10 Nov 2016
Externally published	Yes
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Place	United States
City	Boston
Period	17/07/16 → 21/07/16

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

Research Keywords

Database generation
Decision tree
Preventive control
Transient stability
Wind power

Access Output

10.1109/PESGM.2016.7741566

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Zhang, Y., Xu, Y., Dong, Z. Y., Zhang, R., & Wei, W. (2016). Mining transient stability database for rule-based preventive control of power systems. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 (Vol. 2016-November). Article 7741566 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741566

@inproceedings{e870bed238cc49a2a776246cf0fb2226,

title = "Mining transient stability database for rule-based preventive control of power systems",

abstract = "Power system stability has been a fundamental topic in power engineering area. Recently, with the growth of load demand and the utilization of renewable energy, the preventive control of power system transient stability becomes more challenging. Following the trend of applying intelligent approaches to solve stability problems, this paper proposes a decision tree (DT)-based online preventive control scheme which includes a new database proposed for generation rescheduling. The variation of load, wind power, and generation scheduling are simultaneously included in the proposed database and the DT is trained in a self-adaptive way to avoid unnecessary increase of cost and to accelerate the overall computational speed. The proposed preventive control scheme is tested on New England 39-bus system and the results verify its effectiveness and efficiency. {\textcopyright} 2016 IEEE.",

keywords = "Database generation, Decision tree, Preventive control, Transient stability, Wind power",

author = "Yuchen Zhang and Yan Xu and Dong, {Zhao Yang} and Rui Zhang and Wenxiao Wei",

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].; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/PESGM.2016.7741566",

language = "English",

isbn = "9781509041688",

volume = "2016-November",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",

address = "United States",

}

Zhang, Y, Xu, Y, Dong, ZY, Zhang, R & Wei, W 2016, Mining transient stability database for rule-based preventive control of power systems. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016. vol. 2016-November, 7741566, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741566

Mining transient stability database for rule-based preventive control of power systems. / Zhang, Yuchen; Xu, Yan; Dong, Zhao Yang et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. Vol. 2016-November IEEE Computer Society, 2016. 7741566 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Mining transient stability database for rule-based preventive control of power systems

AU - Zhang, Yuchen

AU - Xu, Yan

AU - Dong, Zhao Yang

AU - Zhang, Rui

AU - Wei, Wenxiao

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 - 2016/11/10

Y1 - 2016/11/10

N2 - Power system stability has been a fundamental topic in power engineering area. Recently, with the growth of load demand and the utilization of renewable energy, the preventive control of power system transient stability becomes more challenging. Following the trend of applying intelligent approaches to solve stability problems, this paper proposes a decision tree (DT)-based online preventive control scheme which includes a new database proposed for generation rescheduling. The variation of load, wind power, and generation scheduling are simultaneously included in the proposed database and the DT is trained in a self-adaptive way to avoid unnecessary increase of cost and to accelerate the overall computational speed. The proposed preventive control scheme is tested on New England 39-bus system and the results verify its effectiveness and efficiency. © 2016 IEEE.

AB - Power system stability has been a fundamental topic in power engineering area. Recently, with the growth of load demand and the utilization of renewable energy, the preventive control of power system transient stability becomes more challenging. Following the trend of applying intelligent approaches to solve stability problems, this paper proposes a decision tree (DT)-based online preventive control scheme which includes a new database proposed for generation rescheduling. The variation of load, wind power, and generation scheduling are simultaneously included in the proposed database and the DT is trained in a self-adaptive way to avoid unnecessary increase of cost and to accelerate the overall computational speed. The proposed preventive control scheme is tested on New England 39-bus system and the results verify its effectiveness and efficiency. © 2016 IEEE.

KW - Database generation

KW - Decision tree

KW - Preventive control

KW - Transient stability

KW - Wind power

UR - http://www.scopus.com/inward/record.url?scp=85001574789&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85001574789&origin=recordpage

U2 - 10.1109/PESGM.2016.7741566

DO - 10.1109/PESGM.2016.7741566

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781509041688

VL - 2016-November

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Mining transient stability database for rule-based preventive control of power systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this