Price-based demand response for household load management with interval uncertainty

In a smart grid, efficient load management can help balance and reduce the burden on national power grid also minimize local operational electricity cost. Robust optimization is technique that increasingly used in home energy systems, where it applied scheduling of household loads through demand side control. this work, interruptible thermostatically controlled are analyzed to obtain optimal schedules presence uncertainty. Firstly, uncertain parameters represented as different intervals, then order control degree conservatism, these divided into various robustness levels. The conventional problem transformed deterministic by translating intervals levels constraints. We apply Harris’ hawk together with integer linear programming further optimize scheduling. Cost trade-off schemes considered analyze financial consequences several Results show proposed method adaptable user requirements robust uncertainties.