Economic scheduling of a hybrid microgrid based on weather forecasts

摘要

Intermittency of renewable resources represents a major impediment that restricts their integration in microgrids. This paper presents an approach that can contribute to solve this issue by the prediction of near-term future renewable power production, mainly wind power and photovoltaic power, based on weather forecasts. After knowing the future renewable power production, the electric grid manager needs to find the optimal operating plan in order to efficiently integrate the predicted renewable production and to optimally operate other controllable components of the microgrid such as fuel-based generators, energy storage units and connectors to the commercial electric grid. We formulate this optimization problem as an integer linear program and exercise the model to study a number of practical issues surrounding microgrids.