# A Multiobjective Approach to Multimicrogrid System Design

## TL;DR

This paper presents a multiobjective optimization framework for designing market and distribution operators in a microgrid network with renewable sources, balancing economic and operational goals.

## Contribution

It introduces a Pareto-based multiobjective approach for microgrid system design, considering multiple stakeholders and objectives simultaneously.

## Key findings

- The proposed method achieves Pareto optimal solutions balancing objectives.
- Simulations validate the effectiveness of the multiobjective approach.
- The scheme ensures fairness among different system objectives.

## Abstract

The main goal of this paper is to design a market operator (MO) and a distribution network operator (DNO) for a network of microgrids in consideration of multiple objectives. This is a high-level design and only those microgrids with nondispatchable renewable energy sources are considered. For a power grid in the network, the net value derived from providing power to the network must be maximized. For a microgrid, it is desirable to maximize the net gain derived from consuming the received power. Finally, for an independent system operator, stored energy levels at microgrids must be maintained as close as possible to storage capacity to secure network emergency operation. To achieve these objectives, a multiobjective approach is proposed. The price signal generated by the MO and power distributed by the DNO are assigned based on a Pareto optimal solution of a multiobjective optimization problem. By using the proposed approach, a fair scheme that does not advantage one particular objective can be attained. Simulations are provided to validate the proposed methodology.