Lightweight Data-Driven Planning Method for Hybrid Energy Storage Systems-Reference-Cited by-同舟云学术

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Lightweight Data-Driven Planning Method for Hybrid Energy Storage Systems

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
language:
Short-container-title:

Author:

Huo Yanda¹,Wu Zhen²,Dai Jianfeng²,Duan Wei²,Jiang Jintao³

Affiliation:

1. EPPEI/Tianjin University, China Electric Power Planning& Engineering Institute/Tianjin University,Beijing,China

2. EPPEI, China Electric Power Planning& Engineering Institute,Beijing,China

3. CGCPSC, State Grid Changchun Power Supply Company,Changchun,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10294329/10294332/10294895.pdf?arnumber=10294895

Reference14 articles.

1. Strategic design optimisation of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market for demand response aggregation

2. Validation of Faster Joint Control Strategy for Battery- and Supercapacitor-Based Energy Storage System

3. Three-Level Hybrid Energy Storage Planning Under Uncertainty

4. A review of technologies and applications on versatile energy storage systems

5. Tri-level robust planning-operation co-optimization of distributed energy storage in distribution networks with high PV penetration

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