optimal storage scheduling in a distribution network considering charging of plugin electric vehicles

This paper proposes an optimal scheduling for charge/discharge of centralized storage units within a distribution network. the storage units are used not only for peak cutting but also for decreasing energy not supplied due to failure events. the impact of plugin electric vehicles (pevs) charging on the optimal scheduling is taken into account as well. pevs load demand is modeled using a stochastic approach based on the monte carlo simulation. then, a tabu search algorithm is utilized in order to fulfill the optimal scheduling of battery energy storages considering the extracted load demand of pevs. numerical studies on a typical distribution network show the impacts of various penetration levels of pevs on the optimal scheduling issue. it should be mentioned that characteristics of the distribution network as well as the location of the stationary batteries affect the optimal scheduling.