Coordinated AC/DC Microgrid Optimal Scheduling

TL;DR

This paper introduces a linearized mixed-integer programming model for the optimal scheduling of hybrid AC/DC microgrids, aiming to minimize operational costs while ensuring efficient interaction between AC and DC subsystems.

Contribution

It presents a novel linearization approach for nonlinear power flow equations in hybrid microgrids, enabling faster and more optimal scheduling solutions.

Findings

The model reduces computational complexity of microgrid scheduling.

Numerical results demonstrate cost savings and operational efficiency.

Sensitivity analysis highlights key operational parameters.

Abstract

This paper proposes a coordinated optimal scheduling model for hybrid AC/DC microgrids. The objective of the proposed model is to minimize the total microgrid operation cost when considering interactions between AC and DC sub-systems of the microgrid network. Nonlinear power flow equations for AC and DC networks have been linearized through a proposed model to enable formulating the problem by mixed integer linear programming (MILP) which expedites the solution process and ensures better solutions in terms of optimality. The proposed model is tested on the modified IEEE 33-bus test system. Numerical simulations exhibit the merits of the proposed coordinated AC/DC optimal scheduling model and further analyze its sensitivity to various decisive operational parameters.