Holistic approach to resilient electrical energy distribution network planning

Shahbazi, A, Aghaei, J, Pirouzi, S, Niknam, T, Vahidinasab, V ORCID logoORCID: 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
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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