DocumentCode
75783
Title
Reliability evaluation of restructured power systems using a novel optimal power-flow-based approach
Author
Mehrtash, Amir ; Peng Wang ; Goel, Lavika
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Volume
7
Issue
2
fYear
2013
fDate
Feb. 2013
Firstpage
192
Lastpage
199
Abstract
Power system planning and operation has been considerably affected by restructuring of power systems and high penetration of renewable energy resources. In the new environment, customers are at the centre of attention and their concerns need to be addressed properly. The conventional techniques are not usually able to address both segregation of power system components and uncertainty of renewable energy resources. A novel technique is proposed in this study to determine load point reliability in restructured power systems considering the effect of renewable generators. This technique is based on modified optimal power flow and represents generation and transmission system with their equivalent multistate models and investigates the effect of each one on the load point reliability, separately. Furthermore, this approach remarkably relieves the reliability evaluation process, especially when loads and generations are subject to changes in the power system. The proposed method can assist the planners in reaching an optimal load allocation plan by providing valuable information. The proposed approach is applied to the Roy Billinton test system to illustrate the applications and advantages of the new approach.
Keywords
AC generators; load flow; power generation planning; power generation reliability; power transmission planning; power transmission reliability; Roy Billinton test system; generation-transmission system; load point reliability; modified optimal power flow; multistate models; optimal load allocation plan; optimal power-flow-based approach; power system component segregation; power system operation; power system planning; reliability evaluation process; renewable energy resource penetration; renewable energy resource uncertainty; renewable generators; restructured power systems;
fLanguage
English
Journal_Title
Generation, Transmission & Distribution, IET
Publisher
iet
ISSN
1751-8687
Type
jour
DOI
10.1049/iet-gtd.2011.0655
Filename
6519371
Link To Document