Robust optimization method for microgrid

What is a robust microgrid optimization model?

This model effectively balances the economy and robustness of microgrid operation. The model uses robust equivalent to deal with the uncertain factors in the microgrid, adopts the form of a robust optimization model of min-max-min structure, and uses the Benders dual algorithm to solve and calculate the established optimization model.

How to optimize a microgrid based on uncertainties?

A two-stage robust optimization model considering uncertainties is established. Uncertainty parameters are converted corresponding definite adjustable parameters. The Benders dual algorithm is used to solve the problem. The robust adjustment parameters of the microgrid can be obtained.

Can a two-stage robust optimization model improve microgrid planning under arbitrary uncertainties?

The two-stage robust optimization model can be well applied to optimize microgrid planning under arbitrary uncertainties, enabling microgrids to resist interference from uncertain factors in the power market environment.

How to optimize the operation of multiple microgrids?

When considering the optimized operation of multiple microgrids, reference uses the random optimization method of scene generation and scene reduction to deal with the uncertainty of renewable power.

Can robust optimization achieve high solutions under microgrid's availability?

The comparative results demonstrate that the proposed robust optimization can achieve high solutions under microgrid’s availability and is intended to confirm that the proposed method is more cost-effective than alternative optimization techniques.

What is a microgrid energy management system based on robust convex optimization?

A microgrid energy management system based on robust convex optimization , which is used to provide a solution when the random load demand is large and the supply of renewable energy is insufficient. The demand response based on the time-of-use electricity price is considered in Ref. .