Optimal Automatic Generation Control of an Interconnected Power System under Network Constraints

Ragini Patel; Chaojie Li; Xinghuo Yu; Brendan McGrath

doi:10.1109/TIE.2018.2793180

Optimal Automatic Generation Control of an Interconnected Power System under Network Constraints

Ragini Patel
, Chaojie Li
, Xinghuo Yu
, Brendan McGrath

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

37 Citations (Scopus)

Abstract

This paper proposes a methodology to optimize the automatic generation control (AGC) of a multi-area power system, interconnected by means of tie-lines, either in a ring or a radial topology. The optimization formulation aims to minimize the real-time operational cost of the power system while maintaining the tie-line flow thermal limits. A distributed dynamic AGC law based on optimization is derived, which utilizes generation and disturbances in all the interconnected areas by optimally sharing power among the areas in real time. Substantial cost savings can be made by our method especially under the uncertain and high-load variability conditions, caused by high penetration of renewable energy sources or distributed generation into the electricity grid. Numerical example studies are presented to show the effectiveness of our approach. © 1982-2012 IEEE.

Original language	English
Pages (from-to)	7220-7228
Journal	IEEE Transactions on Industrial Electronics
Volume	65
Issue number	9
DOIs	https://doi.org/10.1109/TIE.2018.2793180
Publication status	Published - 1 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].

Funding

This work was supported by the Australian Research Council under the Discovery Program Grant DP170102303.

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Automatic generation control (ACG)
distributed control
economic dispatch (ED)
log barrier approximation
optimization
tie lines

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10.1109/TIE.2018.2793180

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title = "Optimal Automatic Generation Control of an Interconnected Power System under Network Constraints",

abstract = "This paper proposes a methodology to optimize the automatic generation control (AGC) of a multi-area power system, interconnected by means of tie-lines, either in a ring or a radial topology. The optimization formulation aims to minimize the real-time operational cost of the power system while maintaining the tie-line flow thermal limits. A distributed dynamic AGC law based on optimization is derived, which utilizes generation and disturbances in all the interconnected areas by optimally sharing power among the areas in real time. Substantial cost savings can be made by our method especially under the uncertain and high-load variability conditions, caused by high penetration of renewable energy sources or distributed generation into the electricity grid. Numerical example studies are presented to show the effectiveness of our approach. {\textcopyright} 1982-2012 IEEE.",

keywords = "Automatic generation control (ACG), distributed control, economic dispatch (ED), log barrier approximation, optimization, tie lines",

author = "Ragini Patel and Chaojie Li and Xinghuo Yu and Brendan McGrath",

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AU - Patel, Ragini

AU - Li, Chaojie

AU - Yu, Xinghuo

AU - McGrath, Brendan

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].

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N2 - This paper proposes a methodology to optimize the automatic generation control (AGC) of a multi-area power system, interconnected by means of tie-lines, either in a ring or a radial topology. The optimization formulation aims to minimize the real-time operational cost of the power system while maintaining the tie-line flow thermal limits. A distributed dynamic AGC law based on optimization is derived, which utilizes generation and disturbances in all the interconnected areas by optimally sharing power among the areas in real time. Substantial cost savings can be made by our method especially under the uncertain and high-load variability conditions, caused by high penetration of renewable energy sources or distributed generation into the electricity grid. Numerical example studies are presented to show the effectiveness of our approach. © 1982-2012 IEEE.

AB - This paper proposes a methodology to optimize the automatic generation control (AGC) of a multi-area power system, interconnected by means of tie-lines, either in a ring or a radial topology. The optimization formulation aims to minimize the real-time operational cost of the power system while maintaining the tie-line flow thermal limits. A distributed dynamic AGC law based on optimization is derived, which utilizes generation and disturbances in all the interconnected areas by optimally sharing power among the areas in real time. Substantial cost savings can be made by our method especially under the uncertain and high-load variability conditions, caused by high penetration of renewable energy sources or distributed generation into the electricity grid. Numerical example studies are presented to show the effectiveness of our approach. © 1982-2012 IEEE.

KW - Automatic generation control (ACG)

KW - distributed control

KW - economic dispatch (ED)

KW - log barrier approximation

KW - optimization

KW - tie lines

UR - https://www.scopus.com/pages/publications/85040935524

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U2 - 10.1109/TIE.2018.2793180

DO - 10.1109/TIE.2018.2793180

M3 - RGC 21 - Publication in refereed journal

SN - 0278-0046

VL - 65

SP - 7220

EP - 7228

JO - IEEE Transactions on Industrial Electronics

JF - IEEE Transactions on Industrial Electronics

IS - 9

ER -

Optimal Automatic Generation Control of an Interconnected Power System under Network Constraints

Abstract

Bibliographical note

Funding

UN SDGs

Research Keywords

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