Microgrid day-ahead dispatch model

How to optimize microgrid operation?

In this paper, a multi-timescale, two-stage robust unit commitment and economic dispatch model is proposed to optimize the microgrid operation. The first stage is a combination of day-ahead hourly and real-time sub-hourly models, which means the day-ahead dispatch result must also satisfy the real-time condition at the same time.

Is there a day-ahead scheduling model for grid-connected microgrids?

For the day-ahead scheduling, we propose a data-based distributionally robust chance-constrained (DRCC) energy dispatch model for grid-connected microgrids, to trade off the economic efficiency and operational risk.

Is there a stochastic robust day-ahead dispatching method for microgrids?

A stochastic robust day-ahead dispatching method for microgrids with controllable air conditioning load is proposed. Based on the dynamic process of heat exchange, we establish the air conditioning load model and apply it to the stochastic robust day-ahead dispatching model. The effectiveness of the method is verified by an example.

What are the limitations of a generalized microgrid dispatch model?

In view of these limitations, in this work, a generalized microgrid dispatch model that incorporates multiple uncertainties introduced by EVs, including arrival and departure times, initial and final SOC, and charging types, has been proposed.

What is a day-ahead multi-objective microgrid optimization framework?

To exploit the benefits of microgrid system furthermore, this paper firstly proposes a comprehensive day-ahead multi-objective microgrid optimization framework that combines forecasting technology, demand side management (DSM) with economic and environmental dispatch (EED) together.

Does a controlled hardware in loop model work in a microgrid system?

The model has been tested in a controlled hardware in loop (CHIL) environment for the Bronzeville Community Microgrid system in Chicago. The simulation results show that the proposed model works effectively in managing the uncertainty in solar PV and load and can provide a flexible dispatch in both grid-connected and islanded modes.