What is a microgrid scheduling model?

An optimized microgrid scheduling model is established considering demand responses, forecast errors, and the effects of uncertainties in different scheduling stages. A day-ahead, intraday, multi-time scale economic scheduling method based on light robust optimization and model predictive control (MPC) is also proposed.

What is a multi-time scale scheduling strategy for Microgrid?

In , a multi-time scale scheduling strategy was proposed for microgrid, in which the system is able to pre-allocate the capacity of the system before the day and adjust the day-ahead scheduling plan according to the real-time capacity of renewable energy sources during the day.

What is the optimal scheduling strategy for microgrids?

In order to balance the accuracy, economy and robustness of microgrid scheduling better, a multi-time scale optimal scheduling strategy for microgrids considering the uncertainty of source and load is proposed.

What is a day-ahead microgrid scheduling method?

A day-ahead, intraday, multi-time scale economic scheduling method based on lightly robust optimization and model predictive control (MPC) is also proposed. An optimized microgrid scheduling model is established considering demand responses, forecast errors, and the effects of uncertainties in different scheduling stages.

Is there a Multitime scale optimization model for urban micro-grids?

To address this issue, this article establishes a multitime scale optimization model for micro-grids considering large-scale heterogeneous BESS and HVAC. First, elements inside the urban micro-grids are modeled, where the HVAC systems and buildings are modeled as building-based energy storage systems (BBESSs), providing short-term energy storage.

How long does a microgrid multi-time scheduling optimization take?

As the last step of the entire microgrid multi-time scheduling optimization, the real-time adjustment stage takes 15 min as the control time domain and 5 min as the index value.