A Security-Constrained Optimal Power Management Algorithm for Shipboard Microgrids with Battery Energy Storage System

TL;DR

This paper introduces a mixed integer linear programming-based optimal power management algorithm for shipboard microgrids with batteries, enhancing fuel efficiency and reliability during contingencies.

Contribution

It presents a novel optimization approach that jointly manages unit commitment and power dispatch for shipboard microgrids with battery energy storage.

Findings

Maximizes fuel savings in shipboard microgrids.

Ensures blackout prevention during operational contingencies.

Demonstrates effectiveness on a notional all-electric ship model.

Abstract

This work proposes an optimal power management strategy for shipboard microgrids equipped with diesel generators and a battery energy storage system. The optimization provides both the unit commitment and the optimal power dispatch of all the resources, in order to ensure reliable power supply at minimum cost and with minimum environmental impact. The optimization is performed solving a mixed integer linear programming problem, where the constraints are defined according to the operational limits of the resources when a contingency occurs. The algorithm is tested on a notional all-electric ship where the ship's electrical load is generated through a Markov chain, modeled on real measurement data. The results show that the proposed power management strategy successfully maximizes fuel saving while ensuring blackout prevention capability.