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Voltage Stability Constrained Optimal Power Flow – A Critical Review
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Power system researchers have looked upon the problem of Voltage Stability Constrained Optimal Power Flow (VSC-OPF) making use of classical and advanced methods of optimization. Many efforts have been made to optimize the power system by optimizing control variables of VSC-OPF problem for improving voltage profile. This paper compiles the significant developments made in the area of VSCOPF using conventional and artificial intelligence based optimal power flow solution methodologies. After a thorough study of vast literature available on VSC-OPF, critical review with future scope has been presented to make the review study most focused and optimistic. Owing to poor speed and convergence characteristics of classical methods of optimization problem, intelligent computational methods have been emerged as one of the effective and efficient method. However, as an appropriate setting of control parameters involved in these meta-heuristic techniques is a key factor for success, the possibility of utilizing hybrid approaches should be considered for VSC-OPF problems. Another interesting feature of this study is that it is found that one algorithm cannot be superior to other algorithms in all kinds of cases; hence for the class of problem being studied, one has to find out which algorithm is better.
Keywords
Voltage Stability Constrained Optimal Power Flow, Voltage Stability Index, Optimal Power Flow, L-index, VCPI-index, MSV,, Classical Method, Artificial Intelligence
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