Resilience-Oriented Computationally Intensive Operation of Renewable-Powered Reconfigurable Microgrids: A Matheuristic Approach
Lopullinen julkaistu versio - 1.67 MB
Zandrazavi, S. F., Home-Ortiz, J. M., & Shafie-khah, M. (2026). Resilience-Oriented Computationally Intensive Operation of Renewable-Powered Reconfigurable Microgrids: A Matheuristic Approach. IEEE Transactions on Industry Applications, 62(4), 6895-6908. https://doi.org/10.1109/TIA.2026.3654041
©2026 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Lataukset22
Pysyvä osoite
Kuvaus
This paper addresses the challenge of achieving both sustainability and resilience in renewable-powered reconfigurable microgrids (RMGs) while managing computational burdens. The Green Independence Performance Index (GIPI) is introduced as a novel resilience metric designed to maximize microgrid independence from the utility grid while avoiding renewable energy curtailment. A multi-objective, nonlinear, and non-convex optimization model is developed to simultaneously minimize total operational costs and maximize GIPI. To enhance tractability and guarantee solution optimality, the problem is reformulated as a mixed-integer linear programming (MILP) model using piecewise linearization and approximation techniques. To further reduce computational burden, a custom matheuristic algorithm is introduced, which synergistically combines classical MILP optimization with a neighborhood-structure-based heuristic. Numerical experiments on the enhanced IEEE 33-bus benchmark system demonstrate that the proposed GIPI eliminates renewable energy curtailment, unlike the IPI which curtailed 13.58% of photovoltaic and 25.09% of wind generation, while the proposed matheuristic reduces computational time from 1,629.74 s (CPLEX) to only 103.32 s and maintains near-optimal operating costs.
Emojulkaisu
ISBN
ISSN
1939-9367
0093-9994
0093-9994
Aihealue
Kausijulkaisu
IEEE transactions on industry applications
OKM-julkaisutyyppi
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)