Title:
REAL-TIME OPTIMIZATION CONTROL METHOD FOR CHARGING/DISCHARGING STATE OF HYBRID ENERGY STORAGE SYSTEM
Document Type and Number:
WIPO Patent Application WO/2024/077752
Kind Code:
A1
Abstract:
Disclosed in the present invention is a real-time optimization control method for a charging/discharging state of a hybrid energy storage system. The method comprises: acquiring a predicted electric load power of a target power grid within a target time period, and a predicted photovoltaic power generation power of the target power grid within the target time period; acquiring state constraint data on the basis of performance data of each energy storage member of an energy storage system of the target power grid, wherein the state constraint data comprises a constraint condition for an executable charging/discharging state of each energy storage member of the energy storage system; and inputting the state constraint data, the predicted electric load power and the predicted photovoltaic power generation power into a deep reinforcement learning model, acquiring a target control scheme, which is output by the deep reinforcement learning model, and according to the target control scheme, controlling the charging/discharging state of each energy storage member of the energy storage system within the target time period. In the present invention, energy storage members are charged when photovoltaic power generation power is large, and discharge when the photovoltaic power generation power is insufficient, such that the usage rate of thermal power can be reduced, and the waste of photovoltaic power generation can also be avoided, and thus the present invention is more environmentally friendly.
Inventors:
YANG ZHILE (CN)
JIANG JUNJIE (CN)
LIU XIANGFEI (CN)
GUO YUANJUN (CN)
WU CHENGKE (CN)
JIANG JUNJIE (CN)
LIU XIANGFEI (CN)
GUO YUANJUN (CN)
WU CHENGKE (CN)
Application Number:
PCT/CN2022/137722
Publication Date:
April 18, 2024
Filing Date:
December 08, 2022
Export Citation:
Assignee:
SHENZHEN INST ADV TECH (CN)
International Classes:
H02J3/28; H02J3/32
Domestic Patent References:
| WO2021146806A1 | 2021-07-29 |
Foreign References:
| CN115313447A | 2022-11-08 | |||
| CN111884213A | 2020-11-03 | |||
| CN110198042A | 2019-09-03 | |||
| CN114844083A | 2022-08-02 |
Other References:
ZHANG ZIDONG: "A coordinated control method for hybrid energy storage system in microgrid based on deep reinforcement learning", POWER SYSTEM TECHNOLOGY, vol. 43, no. 6, 5 June 2019 (2019-06-05), pages 1914 - 1921, XP093158068, DOI: 10.13335/j.1000-3673.pst.2018.2369
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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