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Solving the optimal power flow problem is one of the main objectives inelectrical power systems analysis and design. The modern optimizationalgorithms such as the evolutionary algorithms are also adopted to solve thisproblem, especially when the intermittency nature of generation resources areincluded, as in wind and solar energy resources, where the models arestochastic and non-linear. This paper uses the particle swarm optimizationalgorithm for solving the optimal power flow for IEEE-30 bus system. Inaddition to selection of the most effective control variables based onsensitivity analysis to alleviate the violations and return the system back toits normal state. This adopted strategy would decrease the optimal power flowcalculation burden by particle swarm optimization algorithm, especially withlarge systems.

Selection of Most Effective Control Variables for Solving Optimal Power Flow Using Sensitivity Analysis in Particle Swarm Algorithm