Data‐driven distributionally robust joint planning of distributed energy resources in active distribution network-Reference-Cited by-同舟云学术

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Data‐driven distributionally robust joint planning of distributed energy resources in active distribution network

Published:2020-03-19 Issue:9 Volume:14 Page:1653-1662
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Gao Hongjun¹,Wang Renjun¹,Liu Youbo¹,Wang Lingfeng²,Xiang Yingmeng³,Liu Junyong¹

Affiliation:

1. College of Electrical Engineering, Sichuan UniversityChengdu610065People's Republic of China

2. Department of Electrical Engineering and Computer ScienceUniversity of Wisconsin–MilwaukeeMilwaukeeWI53211USA

3. Global Energy Interconnection Research Institute North AmericaSan JoseCA95134USA

Funder

Fundamental Research Funds for Central Universities of the Central South University

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2019.1565

Reference25 articles.

1. Enabling technology for active distribution systems;Fan M.;Proc. CSEE,2013

2. A System of Systems Engineering Framework for Modern Power System Operation

3. Expansion Planning of Active Distribution Networks With Centralized and Distributed Energy Storage Systems

4. Multi‐objective and multi‐period distribution expansion planning considering reliability, distributed generation and self‐healing

5. Decomposition method for coordinated planning of distributed generation and distribution network;Wu Z.;IET Gener. Transm. Distrib.,2018

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