Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting

Abstract

The deployment of the energy storage systems by prosumers is steadily growing due to uncertainties of renewable energy resources. There is a knowledge gap about the techno-economic analysis of the loss of life (LOL) cost of the battery storage systems (BSSs) in the optimal day-ahead scheduling of the residential and commercial prosumers. This paper tries to fill such a research gap by proposing a novel optimization method for the dayahead scheduling of prosumers, which considers the BSS LOL costs. The comparison of the proposed prosumers’ optimal scheduling method and other existing methods illustrates the techno-economic advantages of the introduced method. Different kinds of BSS technologies, i.e. Li-ion and Lead-acid, are studied in this paper. The proposed method is examined under different weather conditions and corresponding output power of renewable distributed generations. The sensitivity analysis is carried out to investigate how the changes in the BSS LOL cost affect the prosumers’ optimal costs and the operational decisions. The sensitivity analysis results infer that the effectiveness of the proposed method is highlighted when the BSS LOL costs are increased.