Economic Operation of Pumped Hydro Storage Plant using Teaching Learning based Optimization (TLBO) Algorithm

Wind energy generations are expected to have a vital role in the near future. However, the power output from the wind farm is random and intermittent in nature. Therefore, the wind power generation poses many challenges to the power system operation. Due to randomness, if the total wind generation is less than the contract, the farm owner has to pay the penalty. One best solution to overcome this problem is to install energy storage system. Out of all energy storage technologies pumped hydro storage (PHS) is available for large storage. In this paper, an effective use of pumped hydro storage (PHS) power plant is presented to meet peak demand considering availability based tariff.