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Voltage Collapse Proximity Indicator based Placement and Sizing of Static VAR Compensator using BAT Algorithm to Improve Power System Performance
Author(s) -
B. Venkateswara Rao,
G. V. Nagesh Kumar
Publication year - 2014
Publication title -
bonfring international journal of power systems and integrated circuits
Language(s) - English
Resource type - Journals
eISSN - 2277-5072
pISSN - 2250-1088
DOI - 10.9756/bijpsic.10342
Subject(s) - electric power system , static var compensator , computer science , ac power , control theory (sociology) , sensitivity (control systems) , matlab , voltage , sizing , electricity market , power (physics) , genetic algorithm , reliability engineering , engineering , mathematical optimization , electricity , electronic engineering , mathematics , electrical engineering , art , physics , control (management) , quantum mechanics , artificial intelligence , machine learning , visual arts , operating system
Power systems are becoming increasingly more complex due to the interconnection of regional system and deregulation of the overall electricity market. At present owing to the increase in power demand, power system has become more complex and heavily loaded, and is subjected to unstable or insecure operations. For secure operation, it is required to enhance the level of a security margin of the power system. In this paper sensitivity analysis based Voltage collapse proximity Indicator (VCPI) is proposed to select the optimal location of Static VAR Compensator (SVC). An Optimal Power Flow using BAT algorithm is carried out in order to find the optimal size of SVC which minimizes the total real power generation cost. Power System security is assessed using Line security index and voltage security index for IEEE 14 and IEEE 30-bus system using MATLAB Simulation. The results are presented and analyzed for BAT Algorithm based Optimal Power Flow without and with SVC and compared with Genetic Algorithm (GA).

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