Optimal Demand Shut-offs of AC Microgrid using AO-SBQP Method

TL;DR

This paper introduces an advanced optimization algorithm for microgrid demand management, enhancing reliability and operational efficiency during outages by optimally shutting off loads.

Contribution

It develops an alternating optimization based sequential boolean quadratic programming method with proven local superlinear convergence for nonconvex demand shut-off problems.

Findings

Demonstrates effectiveness on IEEE 30-bus case study

Proves local superlinear convergence of the algorithm

Improves microgrid resilience and operational flexibility

Abstract

Microgrids are increasingly being utilized to improve the resilience and operational flexibility of power grids, and act as a backup power source during grid outages. However, it necessitates that the microgrid itself could provide power to the critical loads. This paper presents an algorithm named alternating optimization based sequential boolean quadratic programming tailored for solving optimal demand shut-offs problems arising in microgrids. Moreover, we establish local superlinear convergence of the proposed approximate Boolean quadratic programming method over nonconvex problems. In the end, the performance of the proposed method is illustrated on the modified IEEE 30-bus case study.