Shahbazi, A, Aghaei, J, Pirouzi, S, Niknam, T, Vahidinasab, V ORCID: https://orcid.org/0000-0002-0779-8727, Shafie-khah, M and Catalão, JPS, 2021. Holistic approach to resilient electrical energy distribution network planning. International Journal of Electrical Power and Energy Systems, 132: 107212. ISSN 0142-0615
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Abstract
This paper proposes a two-objective linearized resilient architecture (LRA) model for distribution networks to achieve a strictly resilient network during natural disasters like earthquakes and floods. To obtain this goal, the proposed LRA framework is based on the planning of the energy storage system (ESS), hardening and tie lines, and backup distributed generation (DG). Therefore, the proposed model minimizes the sum of planning and expected operation costs in the first objective function, and the total load shedding and repair costs originates from earthquakes and floods in the second objective function. Also, it constraints to the network planning model, linearized equations of the system operation, and system reconfiguration formulation. Moreover, stochastic programming models the uncertain availability of the network equipment during the natural disaster condition, the load and electricity price. In the next step, the ε-constraint-based Pareto optimization is used to achieve an equivalent single-objective LRA model and obtain the best compromise solution. Finally, the proposed strategy is applied to a standard test distribution network. Numerical simulation confirms the capability of the proposed method in obtaining a resilient distribution network during natural disasters.
Item Type: | Journal article |
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Publication Title: | International Journal of Electrical Power and Energy Systems |
Creators: | Shahbazi, A., Aghaei, J., Pirouzi, S., Niknam, T., Vahidinasab, V., Shafie-khah, M. and Catalão, J.P.S. |
Publisher: | Elsevier BV |
Date: | November 2021 |
Volume: | 132 |
ISSN: | 0142-0615 |
Identifiers: | Number Type 10.1016/j.ijepes.2021.107212 DOI S0142061521004518 Publisher Item Identifier 1445268 Other |
Divisions: | Schools > School of Science and Technology |
Record created by: | Linda Sullivan |
Date Added: | 15 Jun 2021 09:20 |
Last Modified: | 27 May 2022 03:00 |
URI: | https://irep.ntu.ac.uk/id/eprint/43074 |
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