  Solving the optimal power flow problem is one of the main objectives in
electrical power systems analysis and design. The modern optimization
algorithms such as the evolutionary algorithms are also adopted to solve this
problem, especially when the intermittency nature of generation resources are
included, as in wind and solar energy resources, where the models are
stochastic and non-linear. This paper uses the particle swarm optimization
algorithm for solving the optimal power flow for IEEE-30 bus system. In
addition to selection of the most effective control variables based on
sensitivity analysis to alleviate the violations and return the system back to
its normal state. This adopted strategy would decrease the optimal power flow
calculation burden by particle swarm optimization algorithm, especially with
large systems.
