The storage units decrease the operation cost of active distribution network
considerably if they are managed optimally. In this paper, the short-term optimal
scheduling of stationary batteries is presented. The point estimate method is used
for considering uncertainty of load, wind-based distributed generation and plug-in
electric vehicles as well as their influence on optimal scheduling. The optimal
scheduling consists of minimizing cost objective function under technical
constraints. In this paper, the cost objective function is composed of operation and
reliability costs which are minimized using Tabu search algorithm. The storage
units are used for several objectives, i.e., peak shaving, voltage regulation, and
reliability enhancement. The numerical studies show the advantages of batteries for
energy management in active distribution network, and the impact of uncertainties
on optimal scheduling. VC 2015 AIP Publishing LLC.