Data-driven stochastic service restoration in unbalanced active distribution networks with multi-terminal soft open points-Reference-Cited by-同舟云学术

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Data-driven stochastic service restoration in unbalanced active distribution networks with multi-terminal soft open points

Published:2020-10 Issue: Volume:121 Page:106069
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Wang Jian,Zhou Niancheng,Wang Qianggang

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Scholarship Council

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference31 articles.

1. A hierarchical response-based approach to the load restoration problem;Gholami;IEEE Trans Smart Grid,2017

2. Distributed load restoration in unbalanced active distribution systems;Roofegari Nejad;IEEE Trans Smart Grid,2019

3. Service restoration model with mixed-integer second-order cone programming for distribution network with distributed generations;Li;IEEE Trans Smart Grid,2019

4. Robust restoration decision-making model for distribution networks based on information gap decision theory;Chen;IEEE Trans Smart Grid,2015

5. Service restoration of distribution networks considering switching operation costs and actual status of the switching equipment;Dimitrijevic;IEEE Trans Smart Grid,2015

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3. Coordinated planning of soft open point and energy store system in active Distribution networks under source-load imbalance;Electric Power Systems Research;2024-06

4. Optimal parameters setting for soft open point to improve power quality indices in unbalanced distribution systems considering loads and renewable energy sources uncertainty;Electric Power Systems Research;2024-04

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