Energy Storage Application and Development Prediction for Zhejiang Province

The proliferation of new energy storage systems is accelerating in China largely attributable to the incentivizing policies enacted by National Energy Administration. However, most of them are not in frequent use or in a proper way. In this paper, a new scenario is proposed that with the energy storage plant the PV plant can track the load power trend. The power capacity and stored energy are also calculated. A new scenario for wind power is proposed that its power curve is smoothed by energy storage. After that the power curves including the energy storage power are predicted for Zhejiang province. That gives the suggestion for the future energy storage installation in Zhejiang.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/isneet64164.2024.10956058
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.17
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Energy Storage Application and Development Prediction for Zhejiang Province

Jie Huang, Hongkun Lv, Zipan Nie, Kang Zhang et al.
1 citations
Power Systems and Renewable Energy
0.17
article

Energy Storage Application and Development Prediction for Zhejiang Province

Jie Huang, Hongkun Lv, Zipan Nie, Kang Zhang, Liwei Ding
article en
1 citations

Abstract

The proliferation of new energy storage systems is accelerating in China largely attributable to the incentivizing policies enacted by National Energy Administration. However, most of them are not in frequent use or in a proper way. In this paper, a new scenario is proposed that with the energy storage plant the PV plant can track the load power trend. The power capacity and stored energy are also calculated. A new scenario for wind power is proposed that its power curve is smoothed by energy storage. After that the power curves including the energy storage power are predicted for Zhejiang province. That gives the suggestion for the future energy storage installation in Zhejiang.

Chinese Academy of Sciences (CN), Institute of Electrical Engineering (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Power Systems and Renewable Energy
0.17
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Energy Storage Application and Development Prediction for Zhejiang Province — Jie Huang, Hongkun Lv, et al. · (2024) | TGRS Research Map | TGRS