Day-ahead scheduling of a microgrid system using CloudPSS-IESLab platform

Abstract

At present, although there are many achievements in theoretical research for the daily scheduling of microgrids, few dedicated computing tools can be applied to practical operations. In this article, we used a software tool CloudPSS-IESLab for day-ahead scheduling of microgrid system. Considering the uncertainty of wind-solar resources and fluctuation of electricity price, we have implemented the battery storage day-ahead scheduling in a real microgrid system. Compared with the battery schedule formulated by human experience, the result calculated by software CloudPSS-IESLab reduces the operation loss by about 80%, and significantly improves the economy of system operation. The study for this case also reveals the application prospects of CloudPSS-IESLab in energy systems with larger scale and more energy sources.