Plug-in electric vehicle (PEV) charge challenges
can be addressed by including their effects on the planning
of distribution network components. The planning problem
becomes more combinatorial when the uncertainty of PEVs is considered
as well. In this paper, storage and distributed generation
(DG) planning is considered as an option to deal with the problems
arising from PEV uncertainty. The optimal location, capacity, and
power rating of the stationary batteries, as well as the location and
capacity of dispatchable DGs, are determined to minimize the cost
objective function under technical constraints. Short-term scheduling
and long-term planning, as optimization problems, are solved
using Tabu Search and simulated annealing algorithms, respectively.
Simulation results show that when connecting PEVs to the
distribution network, both of the stationary battery and DG units
are needed from technical and economic points of view. Moreover,
the optimal penetration of stationary storage units increases if the
uncertainty of PEVs is considered.