Open AccessActive Line Flow Control of Power System Network with FACTS Devices of choice using Soft Computing Technique
Author(s) -
Author A.K.Chakraborty,
Subrata Majumdar,
Author P.K.Chattopadhyay,
Champa Nandi
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/3061-4179
Subject(s) - computer science , line (geometry) , soft computing , power flow , control (management) , flow (mathematics) , power (physics) , distributed computing , electric power system , artificial intelligence , artificial neural network , mechanics , physics , geometry , mathematics , quantum mechanics
technology opens up new opportunity for operation and control of power system. Out of the various FACTS devices (viz-TCSC, TCPST, UPFC etc.), the right choices for the maximization of power flow in power system network demands attention which helps to achieve the active power flow up to their line limits without any constraint violation and with optimal investment on FACTS devices. In this paper, an algorithm has been developed for right choices of various combination of FACTS in the power network to enhance the power transfer capability of existing lines under normal condition very close to their line limits and has been applied for modified IEEE 14- bus system. This helps the optimal investment in FACTS devices and easy control. The proposed method is based on load flow and line flow equation In this paper Newton Raphson and modified simulated annealing technique are proposed
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