A receding horizon data‐driven chance‐constrained approach for energy flexibility trading in multi‐microgrid distribution network

IET Renewable Power Generation ◽

10.1049/rpg2.12215 ◽

2021 ◽

Author(s):

Zahra Bagheri ◽

Meysam Doostizadeh ◽

Farrokh Aminifar

Keyword(s):

Distribution Network ◽

Data Driven ◽

Receding Horizon ◽

Chance Constrained Approach

Download Full-text

Fault outage risk index evaluation of distribution network based on data-driven

10.1109/aemcse51986.2021.00009 ◽

2021 ◽

Author(s):

Liuhui Zhai ◽

Liang Hu

Keyword(s):

Distribution Network ◽

Data Driven ◽

Index Evaluation

Download Full-text

Hybrid Data-driven and Model-based Distribution Network Reconfiguration with Lossless Model Reduction

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2021.3103934 ◽

2021 ◽

pp. 1-1

Author(s):

Nian Liu ◽

Chenchen Li ◽

Liudong Chen ◽

Jianhui Wang

Keyword(s):

Model Reduction ◽

Distribution Network ◽

Data Driven ◽

Network Reconfiguration ◽

Distribution Network Reconfiguration ◽

Model Based ◽

Download Full-text

Optimal black start strategy for microgrids considering the uncertainty using a data-driven chance constrained approach

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2019.0107 ◽

2019 ◽

Vol 13 (11) ◽

pp. 2236-2248 ◽

Author(s):

Xiong Wu ◽

Shuo Shi ◽

Xiuli Wang ◽

Chao Duan ◽

Tao Ding ◽

...

Keyword(s):

Data Driven ◽

Chance Constrained Approach

Download Full-text

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

IET Generation Transmission & Distribution ◽

10.1049/iet-gtd.2019.1565 ◽

2020 ◽

Vol 14 (9) ◽

pp. 1653-1662 ◽

Author(s):

Hongjun Gao ◽

Renjun Wang ◽

Youbo Liu ◽

Lingfeng Wang ◽

Yingmeng Xiang ◽

...

Keyword(s):

Distribution Network ◽

Energy Resources ◽

Data Driven ◽

Distributed Energy Resources ◽

Distributed Energy ◽

Active Distribution Network ◽

Joint Planning ◽

Distributionally Robust

Download Full-text

Optimal Reconfiguration of Distribution Network Using $\mu$ PMU Measurements: A Data-Driven Stochastic Robust Optimization

IEEE Transactions on Smart Grid ◽

10.1109/tsg.2019.2923740 ◽

2020 ◽

Vol 11 (1) ◽

pp. 420-428 ◽

Author(s):

Alireza Akrami ◽

Meysam Doostizadeh ◽

Farrokh Aminifar

Keyword(s):

Robust Optimization ◽

Distribution Network ◽

Data Driven ◽

Optimal Reconfiguration

Download Full-text

Data-Driven Robust Day-Ahead Optimal Dispatch of Distribution Network Considering the Electric Vehicle

10.1109/spies52282.2021.9633895 ◽

2021 ◽

Author(s):

Jian Qin ◽

Xin Sun ◽

Ji Wang ◽

Xuenan Li ◽

Lu Yin ◽

...

Keyword(s):

Electric Vehicle ◽

Distribution Network ◽

Data Driven ◽

Optimal Dispatch

Download Full-text

Data-driven combining forecasting method for the net demand of power retailers in distribution network

8th Renewable Power Generation Conference (RPG 2019) ◽

10.1049/cp.2019.0560 ◽

2019 ◽

Author(s):

Zelong Lu ◽

Tianhui Zhao ◽

Yao Zhang ◽

Jianxue Wang

Keyword(s):

Distribution Network ◽

Data Driven ◽

Forecasting Method

Download Full-text

Impact of Electric Vehicle Charging Profiles in Data-Driven Framework on Distribution Network

10.1109/icsmartgrid52357.2021.9551247 ◽

2021 ◽

Author(s):

Murat Akil ◽

Emrah Dokur ◽

Ramazan Bayindir

Keyword(s):

Electric Vehicle ◽

Distribution Network ◽

Data Driven ◽

Electric Vehicle Charging ◽

Vehicle Charging

Download Full-text

A data-driven approach to support voltage profiles & loss reduction in wind generator integrated active distribution network considering solid-state transformers with twofold reactive power compensation

Energy Sources Part A Recovery Utilization and Environmental Effects ◽

10.1080/15567036.2021.2009065 ◽

2021 ◽

pp. 1-24

Author(s):

Amaresh Gantayet ◽

Dharmendra Kumar Dheer

Keyword(s):

Solid State ◽

Reactive Power ◽

Distribution Network ◽

Reactive Power Compensation ◽

Data Driven ◽

Loss Reduction ◽

Solid State Transformers ◽

Active Distribution Network ◽

Wind Generator ◽

Data Driven Approach

Download Full-text

Data-driven approach for distribution network topology detection

2015 IEEE Power & Energy Society General Meeting ◽

10.1109/pesgm.2015.7286490 ◽

2015 ◽

Author(s):

G. Cavraro ◽

R. Arghandeh ◽

K. Poolla ◽

A. von Meier

Keyword(s):

Network Topology ◽

Distribution Network ◽

Data Driven ◽

Data Driven Approach

Download Full-text