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OPF based reactive power planning and voltage stability limit improvement under single line outage contingency condition through evolutionary algorithms
Author(s) -
S. Sakthivel Padaiyatchi
Publication year - 2013
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-1111-12
Subject(s) - ac power , electric power system , thyristor , evolutionary programming , control theory (sociology) , computer science , transformer , transmission line , flexible ac transmission system , electric power transmission , evolutionary algorithm , voltage , mathematical optimization , engineering , power (physics) , control (management) , mathematics , power flow , electrical engineering , machine learning , telecommunications , physics , quantum mechanics , artificial intelligence
Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the eectiveness of the dierential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is ecient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) exible alternating current transmission system (FACTS) device is incorporated to control the power ows. The optimal settings of the control variables of the generator voltages, transformer tap settings, and location and parameter settings of the TCSC are considered for reactive power planning and the resultant reactive power reserves. The eectiveness of the

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