Economic operational analytics for energy storage placement at different grid locations and contingency scenarios with stochastic wind profiles

The placement of energy storage systems (ESS) in smart grids is challenging due to the high complexity underlying model and operational datasets. In this paper, non-parametric multivariate statistical analyses operations base contingency scenarios are carried out address these issues. Monte Carlo simulations optimization process for overall cost involving unit commitment dispatch decisions performed with different wind load demand ensembles. grid like transmission line trips generator outages along location ESS parts grid. stochastic mixed-integer programming technique used optimization. power obtained from real data. uncertainty obtained, considering realizations power. data analytics on its corresponding locations Moreover, it aided by hypothesis tests understand their dependence amongst various parameters numerical analysis has been shown a simple 3-bus system all locational scenarios.