A campus wind-solar storage allocation method considering multi-energy demand response-Reference-Cited by-同舟云学术

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A campus wind-solar storage allocation method considering multi-energy demand response

Published:2023-12-08 Issue: Volume: Page:326-330
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management
language:
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Author:

Xu Huiming¹^ORCID,Chen Sian¹^ORCID,Hong Fubin¹^ORCID,Zhu Hao¹^ORCID,Deng Dingshan²^ORCID,Liu Yushi³^ORCID

Affiliation:

1. STATE GRID ELEC-EASE DIGITAL TECHNOLOGY (HEBEI CHINA) CO., LTD, China

2. School of Electrical and Information Engineering, Changsha University of Science and Technology, China

3. STATE GRID DIGITAL TECHNOLOGY HOLDING (HEBEI CHINA) CO., LTD, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3659211.3659268

Reference10 articles.

1. Reliability of autonomous solar-wind microgrids with battery energy storage system applied in the residential sector

2. A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China

3. Energy storage system based on hybrid wind and photovoltaic technologies

4. Short-term pumped storage hydrothermal generation scheduling considering uncertainty of load demand and renewable energy sources

5. Design and simulation for co-ordinated analysis of wind/solar with storage microgrid

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