Single Area Unit Commitment Optimization Using Pattern Search

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
Unit commitment optimization algorithms for the minimization of objective function subjected to various linear and non linear constraints are extensively used in electrical power system planning. The direction of unit commitment algorithm will be economical and robust when the criteria is to evaluate the algorithm in multi-objective and multi-constrained environment in terms of convergence criteria, computation time, memory usage, avoiding local minima trap and obtain global minima, cost minimization for unit commitment problem satisfying various constraints like load demand, voltages limits, power generations, spinning reserves within defined range and minimize operating cost without effecting the system.
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