An Efficiency-Based Power Management Strategy for an Isolated Microgrid Project

TL;DR

This paper presents an efficiency-based power management strategy for an isolated microgrid project, optimizing resource sizing and operation to enhance reliability and cost-effectiveness through mixed-integer optimization and simulation validation.

Contribution

It introduces a novel power management strategy integrated with resource sizing using mixed-integer optimization, validated through detailed quasi-dynamic simulations.

Findings

Optimized resource sizing for diesel, batteries, and PV using mixed-integer algorithms.

Validated power management strategy improves supply quality and reduces losses.

Simulation results confirm effective control and system reliability.

Abstract

The microgrids design for remote locations represents one of the most important and critical applications of the microgrid concept. It requires the correct sizing and the proper utilization of the different sources to guarantee the economical feasibility and the reliability of the supply. This study illustrates an efficiency-based power management strategy, designed for an undergoing microgrid project, where the sizing process of the resources (diesel generators, battery energy storage system, and PV plant) is obtained using a mixed-integer optimization algorithm. The proposed power management strategy guarantees the efficient exploitation of the power sources, which is one of the key elements of the optimal sizing process, being naturally included in the definition of the energy cost functions. The effectiveness of the power control strategy is validated by means of quasi-dynamic simulations on the complete microgrid model, where sources are defined by the optimal problem solution, while the cabling (size and length) and the main switchboards location reflect the expected system layout. Results obtained from the simulation of the microgrid electrical system include losses, and allow to verify and to highlight the desired quantities, such as the quality of supply at each busbar (voltage magnitude), and the state of charge of the energy storage system.