Toward Forecast Techniques in Optimal Sizing of Energy Storage System with Volatile Energy Sources for Hybrid Renewable Energy System

Due to life impacts, including the environment, human society, and economies, renewable energy sources (RES) are increasingly considered to use as alternatives to conventional power systems. Energy generated by volatile RES, which largely depends on weather conditions, generally causes a dynamic of transmission systems. Hybrid renewable energy systems (HRES), combining RES and traditional energy resources as well as energy storage systems (ESS), need to indicate the optimal battery size in order to yield the highest profit. This research proposes the optimal model determining the size of ESS with optimizing the cost deviation, enabling the state of yielding profit gain for operating systems. Indeed, we focus on determining the optimal size of ESS, which maximizes real-time dispatch profit and reduces the deviation of fluctuating RES subject to forecasting errors. In addition, we detail analysis of the number of window side(s) of forecasting techniques by examining using a simple exponential smoothing (SES) model.