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基于自适应DRL与秃鹰搜索融合的光储系统多时间尺度优化策略

杜旭 肖亮 王巍 张德亮 廖小兵

可再生能源2026,Vol.44Issue(8):1114-1122,9.
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可再生能源2026,Vol.44Issue(8):1114-1122,9.

基于自适应DRL与秃鹰搜索融合的光储系统多时间尺度优化策略

Multi-time scale optimization strategy for photovoltaic-energy storage system based on the fusion of adaptive DRL and Vulture Search algorithm

杜旭 1肖亮 1王巍 1张德亮 2廖小兵3

作者信息

  • 1. 中国南方电网电力调度控制中心,广东 广州 510663
  • 2. 北京清大科越股份有限公司,北京 100102
  • 3. 武汉工程大学 电气信息学院,湖北 武汉 430205
  • 折叠

摘要

Abstract

This article proposes a multi time scale optimization strategy for optical storage systems based on the fusion of adaptive deep reinforcement learning(DRL)and multimodal vulture search(MVS),in order to improve the energy utilization efficiency of the optical storage system during operation,reduce overall operating costs,and enhance the stability and adaptability of the system in complex and changing environments.The proposed multi time scale optimization strategy for optical storage systems proposes a dynamic weight allocation mechanism to adaptively adjust the decision weights of deep reinforcement learning and multimodal vulture search algorithms.At the same time,this method introduces a cross validation mechanism to achieve mutual optimization of parameters and strategies between the two algorithms,thereby achieving optimal decisions at different time scales and system states.In addition,the multi time scale optimization strategy of the optical storage system integrates knowledge transfer technology,enabling long-term planning knowledge to guide short-term decisions while ensuring global optimization and improving the real-time performance of the algorithm.The experimental results show that the multi time scale optimization strategy for optical storage systems is superior to existing methods in terms of optimization effectiveness,computational efficiency,and system adaptability,providing new theoretical basis and practical guidance for the intelligent and efficient operation of optical storage collaborative systems.

关键词

光储协同系统/多时间尺度优化/深度强化学习/多模态秃鹰搜索算法/自适应融合

Key words

photovoltaic-energy storage cooperative system/multi-timescale optimization/Deep Reinforcement Learning/Multimodal Vulture Search algorithm/adaptive fusion

分类

能源科技

引用本文复制引用

杜旭,肖亮,王巍,张德亮,廖小兵..基于自适应DRL与秃鹰搜索融合的光储系统多时间尺度优化策略[J].可再生能源,2026,44(8):1114-1122,9.

基金项目

中国南方电网有限责任公司技改项目(000500SZ23120022). (000500SZ23120022)

可再生能源

1671-5292

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