Multi-Objective Transmission Network Planning with Consideration of Power Grid Vulnerability and Wind Power Accommodation

Journal of Engineering Science and Technology Review. 2013;6(3):30-34

 

Journal Homepage

Journal Title: Journal of Engineering Science and Technology Review

ISSN: 1791-2377 (Online)

Publisher: Eastern Macedonia and Thrace Institute of Technology

Society/Institution: Eastern Macedonia and Thrace Institute of Technology

LCC Subject Category: Technology: Engineering (General). Civil engineering (General) | Technology: Technology (General)

Country of publisher: Greece

Language of fulltext: English

Full-text formats available: PDF

 

AUTHORS

Chun-guang Tian (State Grid Jilin Electric Power Company Limited Electric Power Research Institute, Jilin Changchun, 130021, China.)
Xiang-yu Lu (State Grid Jilin Electric Power Company Limited Electric Power Research Institute, Jilin Changchun, 130021, China.)
Li-sen Chu (State Grid Jilin Electric Power Company Limited Electric Power Research Institute, Jilin Changchun, 130021, China.)
Tian Dong (State Grid Jilin Electric Power Company Limited Electric Power Research Institute, Jilin Changchun, 130021, China.)
De-xin Li (State Grid Jilin Electric Power Company Limited Electric Power Research Institute, Jilin Changchun, 130021, China.)

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 24 weeks

 

Abstract | Full Text

This paper proposes an efficient approach for transmission network expansion planning. Three indicators are proposed to evaluate the planning, which is the power grid vulnerability, wind power accommodation and operation cost. Vulnerability is evaluated based on the complex network theory, and wind power accommodation analysis is performed by the rate of abandoned wind power. The optimization of transmission network expansion planning is translated into constraints multi-objective optimization problem. A novel QS-MOWE algorithm based on the improvement quick sort and NSGA-II algorithm has been proposed. The method can be used effectively to study the effect of increasing wind power integration and vulnerability with high wind generation uncertainties. The model and algorithms are applied to calculate a case of 6 units. The results show that the proposed modeling method can provide a useful guidance for planning problems.