Indexed by:

Journal paper

First Author:

Mingyu Yan

Correspondence Author:

Xiaomeng Ai

Co-author:

Yining Zhang,Yubin He,Jinyu Wen

Journal:

Automation of Electric Power Systems

Included Journals:

EI

Place of Publication:

China

Discipline:

Engineering

First-Level Discipline:

Electrical Engineering

Funded by:

中国博士后基金资助项目(2016M590693)

Document Type:

J

Volume:

42

Issue:

6

Page Number:

60-65

ISSN No.:

1000-1026

Key Words:

security-constrained optimal power flow; prohibited zones; mixed integer linear programming; Benders decomposition

DOI number:

10.7500/AEPS20170528003

Date of Publication:

2018-03-25

Impact Factor:

7.086

Abstract:

Due to the physical structure characteristics of the generator, it cannot be operated in some parts of the output interval, which is also named as generator prohibited zones. If these prohibited zones are not considered in the security-constrained optimal power flow, the corrective output of generators after line fault may not eliminate the overloads in time. Therefore, the model of security-constrained optimal power flow with the consideration of generator prohibited zones is proposed. As a large-scale mixed integer linear programming model, the proposed model is hard to be directly solved. Benders decomposition is used to decouple the proposed model into the optimal power flow master problem and the short-term and long-term N-1 fault correcting subproblems. The non-convex mixed integer sub-problem is reformulated into a linear optimal subproblem by fixing the binary variable, which can return the corresponding valid Benders cuts to the master problem. Test results on a 6-bus system and IEEE RTS-96 system verify the efficiency of the model and algorithm proposed.

Links to published journals:

http://www.aeps-info.com/aeps/article/abstract/20170528003?st=search