Stochastic power management strategy for optimal day-ahead scheduling of wind-HESS considering wind power generation and market price uncertainties

•Introducing a stochastic power management method for wind-HESS scheduling in DA market.•Considering wind power and DA market price uncertainties using PDFs of forecast errors.•Maximizing DA market profit with optimal power bidding based on a scenario-based MILP.•Increase in profit obtained compared to limited min–max wind power management method.•Presenting a RT operation strategy to compensate the forecast error by second ESS.