Comparison between Integration of Wind Plant and Pump-Hydro Power Plant Optimized by BFO and by Interior-Point Algorithm

This paper presents two new approaches to solve the generation scheduling (GS) problem of a wind–hydro power plant by BFO and by interior-point algorithm. The production of an optimal day-ahead generating schedule is considered. A bidding strategy by combining stochastic day ahead strategy and operational management strategy is used a comparison is shown with revenue generated by only day ahead strategy. In day ahead strategy we make a strategy for an advance day that we generate power from wind and store the power in pump storage unit when the price is low and generate power from wind and hydro plant when price is high. On other hand in operational management strategy we reduce the imbalance between contracted and generated power in the operating day. So we maximize the profit by minimizing the imbalance of power. For this we have used a more advanced bio optimized optimization – Bacterial foraging optimization and by interior-point algorithm and compare these result.