Presentation Details
| Bi-Level Optimization for Multi-Period Distribution Network Reconfiguration with Battery Energy Management Ricardo Calloquispe-Huallpa1, Rachid Darbali-Zamora2, Anny Huaman-Rivera1, Erick E.Aponte-Bezares1. 1University of Puerto Rico-Mayagüez, Mayagüez, PR, USA.2Sandia National Laboratories, Albuquerque, NM, USA |
Abstract
This paper presents a bi-level optimization framework for multi-period distribution network reconfiguration, integrating network topology control and battery energy storage system (BESS) management. The problem is formulated as a mixed-integer, nonlinear, and time-coupled optimization problem, where binary switching decisions are coordinated with continuous BESS power dispatch. To address the computational complexity, the problem is formulated as a bi-level structure, where the upper level determines the optimal network configuration using a genetic algorithm (GA), and the lower level computes the optimal BESS power dispatch through a gradient-based optimization method. The proposed approach prioritizes the energization of facilities that provide critical services by assigning importance weights according to their level of criticality, enabling a priority-driven allocation of limited energy resources. The framework is validated using a distribution network representing a rural community in Puerto Rico, considering real load and photovoltaic generation data. Results show that the method achieves 87.4\% of the maximum attainable service despite limited generation availability, effectively prioritizing critical facilities while enabling the formation of islanded microgrids supported by grid-forming (GFM) and BESS.
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No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author.
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