A Distributed Algorithm based 2-level Optimization for Multi-area Optimal Power Flow with Discrete Variables

2020 ◽  
Vol 140 (11) ◽  
pp. 786-794
Author(s):  
Ryohei Suzuki ◽  
Keiichiro Yasuda ◽  
Eitaro Aiyoshi
Keyword(s):  
Distributed Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Discrete Variables ◽  
Optimal Power

A Robust Approach to Optimal Power Flow With Discrete Variables

2009 ◽  
Vol 24 (3) ◽  
pp. 1182-1190 ◽  
Author(s):  
Lin Liu ◽  
Xifan Wang ◽  
Xiaoying Ding ◽  
Haoyong Chen
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Discrete Variables ◽  
Robust Approach ◽  
Optimal Power

Optimal Power Flow Considering Generator Number Constraint on Regulation of Active Power Output

2014 ◽  
Vol 672-674 ◽  
pp. 1042-1047
Author(s):  
Yu De Yang ◽  
Pei Xian Qu
Keyword(s):  
Power Output ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Model ◽  
Optimal Solution ◽  
Active Power ◽  
Interior Point Algorithm ◽  
Discrete Variables ◽  
Optimal Power ◽  
The Relationship

Operation number constraint of control means isn’t considered to traditional optimal power flow model, and at optimal solution all the control variables often be changed, which causes a tedious dispatching plan and is difficult to operate. In this paper, Optimal Power Flow (OPF) with constraints limiting the number of control actions was discussed, and 0-1 discrete variables of model was transformed to complementary constraint, then modern interior point algorithm was used for solving. Through simulation the relationship between generator number constraint on regulation of the active power output and optimization objective was explored, which could obtain best balance point on two, and close to conventional OPF optimization objective with reducing the number of regulation.

scholarly journals Scheduled-Asynchronous Distributed Algorithm for Optimal Power Flow

2019 ◽  
Vol 6 (1) ◽  
pp. 261-275 ◽  
Author(s):  
Chin-Yao Chang ◽  
Jorge Cortes ◽  
Sonia Martinez
Keyword(s):  
Distributed Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
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