DocumentCode :
3760203
Title :
Temperature-dependent optimal power flow based on simplified interior point method
Author :
Qin Gao;Zhinong Wei;Guoqiang Sun;Yonghui Sun;Haixiang Zang
Author_Institution :
College of Energy and Electrical Engineering, Hohai University, Nanjing, China
fYear :
2015
Firstpage :
765
Lastpage :
769
Abstract :
In this paper, a novel temperature-dependent optimal power flow (TDOPF) is proposed to improve conventional optimal power flow (OPF). In conventional OPF, the resistance of branches is assumed to be constant and temperature effects on line resistance has been neglected, which will result in a great deviation with actual operation situation. Based on the weak coupling property of electrical and thermal variables, the decoupled TDOPF is proposed to improve the efficiency of TDOPF algorithm. All the OPF algorithms are sufficiently solved by a novel simplified primal-dual interior point method. Finally, it is shown by the numerical simulation results that the proposed TDOPF and its decoupling algorithm are available and effective.
Keywords :
"Decision support systems","Heating","Load flow","Algorithm design and analysis","Resistance","Conductors"
Publisher :
ieee
Conference_Titel :
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
Type :
conf
DOI :
10.1109/DRPT.2015.7432329
Filename :
7432329
Link To Document :
بازگشت