Holistic approach to resilient electrical energy distribution network planning

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Amid Shahbazi (Author) Other; Jamshid Aghaei (Author) Other; Sasan Pirouzi (Author) Other; Taher Niknam (Author) Other; Vahid Vahidinasab (Author) Other; Miadreza Shafie-khah (Author) Other; João P. S. Catalão (Author) FEUP

Journal

Title: International Journal of Electrical Power & Energy Systems

Vol. 132

Pages: 1-10

ISSN: 0142-0615

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00V-0HE

DOI: 10.1016/j.ijepes.2021.107212

Abstract (EN): 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 e-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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10