Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network-Reference-Cited by-同舟云学术

Multi-objective active distribution networks expansion planning by scenario-based stochastic programming considering uncertain and random weight of network

Published:2018-06 Issue: Volume:219 Page:207-225
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Xie Shiwei^ORCID,Hu Zhijian,Zhou Daming,Li Yan,Kong Shunfei,Lin Weiwei,Zheng Yunfei

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference54 articles.

1. Optimal integration and planning of renewable distributed generation in the power distribution networks: a review of analytical techniques;Ehsan;Appl Energy,2018

2. Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions;Bagheri;Int J Electr Power Energy Syst,2015

3. Generation expansion planning with high share of renewables of variable output;Pereira;Appl Energy,2017

4. Beneficiaries of transmission expansion projects of an expansion plan: an Aumann-Shapley approach;Banez-Chicharro;Appl Energy,2017

5. Probabilistic transmission expansion planning to maximize the integration of wind power;Jadidoleslam;Renew Energy,2017

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