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Holistic approach to resilient electrical energy distribution network planning
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
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 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.
- Subjects :
- Mathematical optimization
Computer simulation
Computer science
business.industry
020209 energy
020208 electrical & electronic engineering
Energy Engineering and Power Technology
02 engineering and technology
Multi-objective optimization
Networking hardware
Stochastic programming
Energy storage
Network planning and design
Backup
Distributed generation
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
business
Subjects
Details
- Language :
- English
- ISSN :
- 01420615
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....eb565241a5bc0918bd4f2ae59a0b9069