Identification Mthod of Ajustable Rsource Load Model for Large-scale Virtual Power Plant Considering Multi-dimensional Characteristics-Reference-Cited by-同舟云学术

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Identification Mthod of Ajustable Rsource Load Model for Large-scale Virtual Power Plant Considering Multi-dimensional Characteristics

Published:2023-08-18 Issue: Volume:40 Page:294-299
ISSN:
Container-title:2023 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)
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Author:

Ai Dengxin¹,Wang Kun¹,Zhang Peirong²,Liu Haoyu³,Cheng Baohua³,Zhao Chenyang⁴,Ren Yuan²,Zhao Yue¹

Affiliation:

1. Tianjin Electric Power Science & Research Institute State Grid Tianjin Electric Power Company,Tianjin,China,300021

2. Tianjin University,Key Laboratory of Smart Grid of Ministry of Education,Tianjin,China,300072

3. Marketing Service Center State Grid Tianjin Electric Power Company,Tianjin,China,300221

4. State Grid Tianjin Electric Power Company,Tianjin,China,300010

Funder

State Grid Tianjin Electric Power Company

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511267/10511091/10511416.pdf?arnumber=10511416

Reference15 articles.

1. Modelling and analysis of virtual power plants interactive operational characteristics in distribution systems

2. Electrical Characteristics Analysis of Bonded Cells for Shingled Modules

3. A review and outlook on the development of interactive key technologies taking into account the adjustable potential of demand-side resources;Xingdong;Power Supply,2023

4. Data-driven analysis of customer electricity consumption behavior under the environment of electricity sales market;Zhao;Electricity Demand Side Management,2020

5. Data-driven power consumption behavior analysis method and its application;Zhu;Grid technology,2020

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