Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60470
Title: Evolutionary-programming-based load flow algorithm for systems containing unified power flow controllers
Authors: Wong, KP
Yuryevich, J
Li, A
Issue Date: 2003
Publisher: The Institution of Engineering and Technology
Source: IEE proceedings. Generation, transmission, and distribution, 2003, v. 150, no. 4, p. 441-446 How to cite?
Journal: IEE proceedings. Generation, transmission, and distribution 
Abstract: The solution of the load flow problem is fundamental to the operation of every modern power utility. With the advent of modern power electronics, devices such as the unified power flow controller have been developed for the control of power systems. These devices provide unprecedented control over load flows and voltage levels at their location within the power system. With this increased control, however, comes an increase in the complexity of the load flow problem. It is necessary that existing and new load flow algorithms be developed which can accurately and reliably solve the load flow problem in the presence of these devices. An evolutionary programming load flow algorithm is presented which is capable of solving the load flow problem for systems containing unified load flow controllers. The performance of the algorithm is demonstrated on a modified version of the IEEE 30 node system.
URI: http://hdl.handle.net/10397/60470
ISSN: 1350-2360
EISSN: 1751-8695
DOI: 10.1049/ip-gtd:20030405
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