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 proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publicationProceedings of APSCOM'09
Publication date2009
Publication statusPublished - 2009
Event8th IET International Conference on Advances in Power System Control, Operation and Management - Kowloon Shangri La Hotel, Hong Kong, China
Duration: 8 Nov 200911 Nov 2009
Conference number: 8
http://158.132.178.85/APSCOM2009.org/

Conference

Conference8th IET International Conference on Advances in Power System Control, Operation and Management
Number8
LocationKowloon Shangri La Hotel
CountryChina
CityHong Kong
Period08/11/200911/11/2009
Internet address

Fingerprint Dive into the research topics of 'SVC Planning in Large–scale Power Systems via a Hybrid Optimization Method'. Together they form a unique fingerprint.

Cite this