Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm
نویسندگان
چکیده
منابع مشابه
Optimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm
A power system, under heavily loaded conditions, is at high risks of probable line outage and consequent voltage instability problem. Real power loss and voltage deviation minimization are reliable indicators of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal location and sizing of Static Var Compensator (SVC) to improve voltage stabilit...
متن کاملOptimal Location of SVC for Voltage Stability Enhancement under Contingency Condition through PSO Algorithm
A power system, under heavily loaded conditions, is at high risks of probable line outage and consequent voltage instability problem. Real power loss and voltage deviation minimization are reliable indicators of voltage security of power networks. This paper proposes a Particle Swarm Optimization (PSO) based optimal location and sizing of Static Var Compensator (SVC) to
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In present day restructured power systems, increased transactions often lead to the situations where the system no longer remains in secure operating condition. To overcome such undesirable situation the Flexible AC transmission system (FACTS) controllers can be placed in a power system, which are able to provide fast and flexible control of voltage magnitude, active and reactive powers and to ...
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In any power system network, voltage stability is a major concern for secure operations. But recently due to their stressed operations for increasing loading, voltage instability and voltage collapse are evitable, which is a major threat to power system. So it is very important to maintain voltage profile within the limits for overloading conditions also, which can possible through optimal plac...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/2396-3183