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大脑情绪学习驱动的光储直柔接入配电网智能控制策略

陈卫东 孙乐平 吴晓锐 吴宁 郭敏

中国电力2025,Vol.58Issue(8):23-30,8.
中国电力2025,Vol.58Issue(8):23-30,8.DOI:10.11930/j.issn.1004-9649.202412055

大脑情绪学习驱动的光储直柔接入配电网智能控制策略

Intelligent Control Strategy for PEDF Accessed in Distribution System Driven by Brain Emotion Learning

陈卫东 1孙乐平 1吴晓锐 1吴宁 1郭敏1

作者信息

  • 1. 广西电网有限公司电力科学研究院,广西 南宁 530023||广西电力装备智能控制与运维重点实验室,广西 南宁 530023
  • 折叠

摘要

Abstract

Aiming at the voltage stability control problem of the low-carbon photovoltaic storage direct-flexible system connected to the distribution network in the park,a secondary control strategy based on brain emotional learning-based intelligent controller(BELBIC)is proposed in this paper.Different from the traditional control method,the controller has the ability of fast automatic learning and can handle the complexity,nonlinearity and uncertainty of the photovoltaic storage direct-flexible system model.The proposed controller is completely model-free and maintains robust regulation capability when the system model and parameters are unknown.The method ensures low steady-state variation and high bandwidth,and ensures stable voltage control and accurate current sharing of the converter under the droop mechanism.Finally,real-time simulation is carried out on the OPAL-RT simulator to verify the robustness of the proposed control strategy under different conditions.The results show that the strategy can realize bus voltage recovery and load current accurate proportional distribution within the allowable range of communication delay,and has outstanding plug-and-play capabilities,providing an innovative solution for the flexible access of high-proportion distributed energy in new distribution systems.

关键词

光储直柔系统/智能控制/电压恢复

Key words

PEDF/intelligent control/voltage restoration

引用本文复制引用

陈卫东,孙乐平,吴晓锐,吴宁,郭敏..大脑情绪学习驱动的光储直柔接入配电网智能控制策略[J].中国电力,2025,58(8):23-30,8.

基金项目

国家重点研发计划资助项目(2023YFB2407601,2023YFB2407602,2023YFB2407605) (2023YFB2407601,2023YFB2407602,2023YFB2407605)

广西电网公司科技项目(GXKJXM20222071). This work is supported by the National Key Research and Development Program of China(No.2023YFB2407601,2023YFB2407602,2023YFB2407605)&Science and Technology Project of Guangxi Power Grid Co.,Ltd.(No.GXKJXM20222071). (GXKJXM20222071)

中国电力

OA北大核心

1004-9649

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