Pharmacophore-Modeling-Based Optimal Placement and Sizing of Large-Scale Energy Storage Stations in a Power System including Wind Farms

The world is targeting fully sustainable electricity by 2050. Energy storage systems have the biggest role to play in 100% renewable energy scenario. This paper presents an optimal method for sizing and allocation a power system including share of wind farms. system, which used as test modified version IEEE 39 bus system. optimization applied using novel pharmacophore modeling (PM), compared state-of-the-art techniques. objective minimize costs losses, peak demand voltage deviation. PM two methods, namely, weighting factor normalization. simulation are DIgSILENT factory software application. results show that normalization drives less cost terms total losses up 29% deviation 4% better covers than