Resilience-oriented distribution network optimal planning to improve the continuity of power supply-Reference-Cited by-同舟云学术

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Resilience-oriented distribution network optimal planning to improve the continuity of power supply

Published:2018-04-04 Issue:4 Volume:41 Page:466-474
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Ghaffarpour Reza¹,Jannati Oskuee Mohammad Reza²,Ranjbar Ali Mohammad³

Affiliation:

1. Electrical engineering Department, Imam Hossein Comprehensive University, Tehran Iran

2. Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran

3. Electrical engineering Department, Sharif University of Technology, Tehran Iran

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2018.1451373

Reference47 articles.

1. A trilevel programming approach for electric grid defense planning

2. On the definition of cyber-physical resilience in power systems

3. Bilevel programming applied to power system vulnerability analysis under multiple contingencies

4. Optimal feeder routing in distribution system planning using dynamic programming technique and GIS facilities

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1. Dynamic Programming of Reliable and Resilient MG-based Distribution Network Expansion Planning;2024 28th International Electrical Power Distribution Conference (EPDC);2024-04-23

2. Robust expansion planning and hardening strategy of meshed multi-energy distribution networks for resilience enhancement;Applied Energy;2023-07

3. Integrated reinforcement and repair of interdependent infrastructure networks under disaster-related uncertainties;European Journal of Operational Research;2023-07

4. Power distribution network expansion planning to improve resilience;IET Generation, Transmission & Distribution;2023-01-10

5. Application of Intelligent Optimization Algorithms in the Distribution Network Planning and Evaluation Models;Procedia Computer Science;2023

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