SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method

Guang ya Yang; Rajat Majumder; Zhao Xu

SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method

Guang ya Yang, Rajat Majumder, Zhao Xu

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

The research on allocation of FACTS devices has attracted quite a lot interests from various aspects. In this paper, a hybrid model is proposed to optimise the number, location as well as the parameter settings of static Var compensator (SVC) deployed in large–scale power systems. The model utilises the result of vulnerability assessment for determining the candidate locations. A hybrid optimisation method including two stages is proposed to find out the optimal solution of SVC in large– scale planning problem. In the first stage, a conventional genetic algorithm (GA) is exploited to generate a candidate solution pool. Then in the second stage, the candidates are presented to a linear planning model to investigate the system optimal loadability, hence the optimal solution for SVC planning can be achieved. The method is presented to IEEE 300–bus system.

Original language	English
Title of host publication	Proceedings of APSCOM'09
Publication date	2009
Publication status	Published - 2009
Event	8th IET International Conference on Advances in Power System Control, Operation and Management - Kowloon Shangri La Hotel, Hong Kong, China Duration: 8 Nov 2009 → 11 Nov 2009 Conference number: 8 http://158.132.178.85/APSCOM2009.org/

Conference

Conference	8th IET International Conference on Advances in Power System Control, Operation and Management
Number	8
Location	Kowloon Shangri La Hotel
Country/Territory	China
City	Hong Kong
Period	08/11/2009 → 11/11/2009
Internet address	http://158.132.178.85/APSCOM2009.org/

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@inproceedings{d1784578973648bf80a47152a060e9cf,

title = "SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method",

abstract = "The research on allocation of FACTS devices has attracted quite a lot interests from various aspects. In this paper, a hybrid model is proposed to optimise the number, location as well as the parameter settings of static Var compensator (SVC) deployed in large–scale power systems. The model utilises the result of vulnerability assessment for determining the candidate locations. A hybrid optimisation method including two stages is proposed to find out the optimal solution of SVC in large– scale planning problem. In the first stage, a conventional genetic algorithm (GA) is exploited to generate a candidate solution pool. Then in the second stage, the candidates are presented to a linear planning model to investigate the system optimal loadability, hence the optimal solution for SVC planning can be achieved. The method is presented to IEEE 300–bus system.",

author = "Yang, {Guang ya} and Rajat Majumder and Zhao Xu",

year = "2009",

language = "English",

booktitle = "Proceedings of APSCOM'09",

note = "8th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2009 ; Conference date: 08-11-2009 Through 11-11-2009",

url = "http://158.132.178.85/APSCOM2009.org/",

}

TY - GEN

T1 - SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method

AU - Yang, Guang ya

AU - Majumder, Rajat

AU - Xu, Zhao

N1 - Conference code: 8

PY - 2009

Y1 - 2009

N2 - The research on allocation of FACTS devices has attracted quite a lot interests from various aspects. In this paper, a hybrid model is proposed to optimise the number, location as well as the parameter settings of static Var compensator (SVC) deployed in large–scale power systems. The model utilises the result of vulnerability assessment for determining the candidate locations. A hybrid optimisation method including two stages is proposed to find out the optimal solution of SVC in large– scale planning problem. In the first stage, a conventional genetic algorithm (GA) is exploited to generate a candidate solution pool. Then in the second stage, the candidates are presented to a linear planning model to investigate the system optimal loadability, hence the optimal solution for SVC planning can be achieved. The method is presented to IEEE 300–bus system.

AB - The research on allocation of FACTS devices has attracted quite a lot interests from various aspects. In this paper, a hybrid model is proposed to optimise the number, location as well as the parameter settings of static Var compensator (SVC) deployed in large–scale power systems. The model utilises the result of vulnerability assessment for determining the candidate locations. A hybrid optimisation method including two stages is proposed to find out the optimal solution of SVC in large– scale planning problem. In the first stage, a conventional genetic algorithm (GA) is exploited to generate a candidate solution pool. Then in the second stage, the candidates are presented to a linear planning model to investigate the system optimal loadability, hence the optimal solution for SVC planning can be achieved. The method is presented to IEEE 300–bus system.

M3 - Article in proceedings

BT - Proceedings of APSCOM'09

T2 - 8th IET International Conference on Advances in Power System Control, Operation and Management

Y2 - 8 November 2009 through 11 November 2009

ER -

SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method

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