Power system reactive scheduling within electricity markets

Zhao-Yang Dong; David J. Hill

doi:10.1049/cp:20000366

Power system reactive scheduling within electricity markets

Zhao-Yang Dong, David J. Hill

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

6 Citations (Scopus)

Abstract

This paper addresses the problem of achieving power system security, with emphasis on reactive power planning, within a competitive electricity market. A pool electricity market model is used and a separate market for security services. Risk minimisation is achieved optimally using genetic algorithms.

Original language	English
Pages (from-to)	70-75
Journal	IEE Conference Publication
Issue number	478 I
DOIs	https://doi.org/10.1049/cp:20000366
Publication status	Published - 2001
Externally published	Yes
Event	5th International Conference on Advances in Power System Control, Operation and Management - Tsimshatsui, Kowloon, Hong Kong, China Duration: 30 Oct 2000 → 1 Nov 2000

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].

Research Keywords

Ancillary services
Competitive market
Genetic algorithms
Optimal power flow
Reactive power

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title = "Power system reactive scheduling within electricity markets",

abstract = "This paper addresses the problem of achieving power system security, with emphasis on reactive power planning, within a competitive electricity market. A pool electricity market model is used and a separate market for security services. Risk minimisation is achieved optimally using genetic algorithms.",

keywords = "Ancillary services, Competitive market, Genetic algorithms, Optimal power flow, Reactive power",

author = "Zhao-Yang Dong and Hill, {David J.}",

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doi = "10.1049/cp:20000366",

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journal = "IEE Conference Publication",

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TY - JOUR

T1 - Power system reactive scheduling within electricity markets

AU - Dong, Zhao-Yang

AU - Hill, David J.

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 - 2001

Y1 - 2001

N2 - This paper addresses the problem of achieving power system security, with emphasis on reactive power planning, within a competitive electricity market. A pool electricity market model is used and a separate market for security services. Risk minimisation is achieved optimally using genetic algorithms.

AB - This paper addresses the problem of achieving power system security, with emphasis on reactive power planning, within a competitive electricity market. A pool electricity market model is used and a separate market for security services. Risk minimisation is achieved optimally using genetic algorithms.

KW - Ancillary services

KW - Competitive market

KW - Genetic algorithms

KW - Optimal power flow

KW - Reactive power

UR - http://www.scopus.com/inward/record.url?scp=0035760372&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035760372&origin=recordpage

U2 - 10.1049/cp:20000366

DO - 10.1049/cp:20000366

M3 - RGC 21 - Publication in refereed journal

SN - 0537-9989

SP - 70

EP - 75

JO - IEE Conference Publication

JF - IEE Conference Publication

IS - 478 I

T2 - 5th International Conference on Advances in Power System Control, Operation and Management

Y2 - 30 October 2000 through 1 November 2000

ER -

Power system reactive scheduling within electricity markets

Abstract

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Research Keywords

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