  Probabilistic and intermittent output power of wind turbines (WT) is one
major inconsistency of WTs. Battery Energy Storage Systems (BESSs) are a
suitable solution to mitigate this intermittency which use to smoothen the
output power injected to the grid by such intermittent sources. This paper
proposes a new optimization formulation using genetic algorithm to simultaneous
sizing and placement of BESSs and WTs which result in finding best location and
size (capacity) of WTs and BESSs in power system by minimizing total system
loss (active and reactive loss) and Costs of WTs and BESSs which improves
demand bus voltage profiles. The result of optimization problem is best buses
to locate WTs and BESSs and the size (installable active and reactive power) of
them. The case studies performed on IEEE 33 bus system, validates the
suitability of the formulation for loss minimization and bus voltage profiles
improvement in the test system in presence of WT and BESS.
