Economic Dispatch for Power System with Short-Term Solar Power Forecast

This paper presents the problem of economic dispatch for an electrical system with unconventional energy sources and energy storage. The economic dispatch is considered for demand variations over 24 hours, taking into account the forecast of solar energy for one hour ahead, based on the autoregressive process. The implemented algorithm allows analysis of economic dispatch under different restrictions. A case study is shown, where different levels of renewable energy penetration into the system are considered and the effectiveness of the implemented algorithm is observed.