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AI赋能新型储能系统优化调度研究

李海旭 刘姝 任经纬 王玉琳 李柏麒

东北电力技术2026,Vol.47Issue(4):12-15,62,5.
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东北电力技术2026,Vol.47Issue(4):12-15,62,5.

AI赋能新型储能系统优化调度研究

Research on Optimal Scheduling of AI-Empowered New Energy Storage Systems

李海旭 1刘姝 2任经纬 3王玉琳 1李柏麒1

作者信息

  • 1. 沈阳工程学院电气工程学院,辽宁 沈阳 110136
  • 2. 沈阳工程学院新能源学院,辽宁 沈阳 110136
  • 3. 华能新能源股份有限公司辽宁分公司,辽宁 沈阳 110004
  • 折叠

摘要

Abstract

As the core support for my country's energy transformation and the construction of a new power system,the new energy storage system can effectively solve the intermittent fluctuations problem of renewable energy,wind power and photovoltaics through energy storage peak regulation and regulation,and ensure the safe and stable operation of the power grid and the economy.Artificial intelli-gence and data-driven are widely used in energy storage optimization.By analyzing the problems of data dependence in the process of energy storage optimization and the difficulty in coordinating scheduling in multiple scenarios,it discusses in depth the multi-energy complementarity and hybrid energy storage coordination scheduling method and the balance between economy and technology of the energy storage system.It provides reference for the large-scale application of new energy storage systems,the integration of future technologies and the prospect of market-oriented scheduling routes.

关键词

新型储能系统/人工智能/运行调控/优化调度/多能互补

Key words

new energy storage systems/artificial intelligence/operational regulation/optimal scheduling/multi-energy complementarity

分类

信息技术与安全科学

引用本文复制引用

李海旭,刘姝,任经纬,王玉琳,李柏麒..AI赋能新型储能系统优化调度研究[J].东北电力技术,2026,47(4):12-15,62,5.

基金项目

辽宁省教育厅项目(LJ242411632054) (LJ242411632054)

东北电力技术

1004-7913

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