Available transfer capability assessment considering generation bidding and costumer inclination

Changhua Zhang; Rongfu Sun; Feng He; Yue Fan; Shuanbao Niu; Yonghua Song

Available transfer capability assessment considering generation bidding and costumer inclination

Changhua Zhang^*, Rongfu Sun, Feng He, Yue Fan, Shuanbao Niu, Yonghua Song

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

An algorithm for calculating available transfer capability (ATC) of power system in power market is presented. An optimal mathematical model considering the bidding of generators and the bus locational marginal price (LMP) is built. The objective function is to maximize the total active power consuming for load in sink area. The constraint is the system operation in a secure and economic way. A bi-level leader-follower decision-making measure is taken to solve the problem and semi-smooth Newton method is used to handle the large amount of inequality constraints which are imported by sub-optimal model. The numerical simulation results on IEEE 30-bus system demonstrate the validity of the proposed model.

Original language	English
Pages (from-to)	19-23+51
Journal	Dianli Xitong Zidonghua/Automation of Electric Power Systems
Volume	31
Issue number	23
Publication status	Published - 10 Dec 2007

Keywords

Available transfer capability(ATC)
Bi-level optimization
Optimal power flow
Power system

UN SDGs

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

Cite this

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title = "Available transfer capability assessment considering generation bidding and costumer inclination",

abstract = "An algorithm for calculating available transfer capability (ATC) of power system in power market is presented. An optimal mathematical model considering the bidding of generators and the bus locational marginal price (LMP) is built. The objective function is to maximize the total active power consuming for load in sink area. The constraint is the system operation in a secure and economic way. A bi-level leader-follower decision-making measure is taken to solve the problem and semi-smooth Newton method is used to handle the large amount of inequality constraints which are imported by sub-optimal model. The numerical simulation results on IEEE 30-bus system demonstrate the validity of the proposed model.",

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author = "Changhua Zhang and Rongfu Sun and Feng He and Yue Fan and Shuanbao Niu and Yonghua Song",

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T1 - Available transfer capability assessment considering generation bidding and costumer inclination

AU - Zhang, Changhua

AU - Sun, Rongfu

AU - He, Feng

AU - Fan, Yue

AU - Niu, Shuanbao

AU - Song, Yonghua

PY - 2007/12/10

Y1 - 2007/12/10

N2 - An algorithm for calculating available transfer capability (ATC) of power system in power market is presented. An optimal mathematical model considering the bidding of generators and the bus locational marginal price (LMP) is built. The objective function is to maximize the total active power consuming for load in sink area. The constraint is the system operation in a secure and economic way. A bi-level leader-follower decision-making measure is taken to solve the problem and semi-smooth Newton method is used to handle the large amount of inequality constraints which are imported by sub-optimal model. The numerical simulation results on IEEE 30-bus system demonstrate the validity of the proposed model.

AB - An algorithm for calculating available transfer capability (ATC) of power system in power market is presented. An optimal mathematical model considering the bidding of generators and the bus locational marginal price (LMP) is built. The objective function is to maximize the total active power consuming for load in sink area. The constraint is the system operation in a secure and economic way. A bi-level leader-follower decision-making measure is taken to solve the problem and semi-smooth Newton method is used to handle the large amount of inequality constraints which are imported by sub-optimal model. The numerical simulation results on IEEE 30-bus system demonstrate the validity of the proposed model.

KW - Available transfer capability(ATC)

KW - Bi-level optimization

KW - Optimal power flow

KW - Power system

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M3 - Article

AN - SCOPUS:37749034665

SN - 1000-1026

VL - 31

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JO - Dianli Xitong Zidonghua/Automation of Electric Power Systems

JF - Dianli Xitong Zidonghua/Automation of Electric Power Systems

IS - 23

ER -

Available transfer capability assessment considering generation bidding and costumer inclination

Abstract

Keywords

UN SDGs

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