计算机与现代化 ›› 2025, Vol. 0 ›› Issue (08): 119-126.doi: 10.3969/j.issn.1006-2475.2025.08.017

• 算法设计与分析 • 上一篇    

基于鸿蒙系统的用户侧储能多目标协调控制研究

  


  1. (南京苏逸实业有限公司,江苏 南京 210008)
  • 出版日期:2025-08-27 发布日期:2025-08-28
  • 作者简介: 作者简介:李刚(1987—),男,江苏徐州人,工程师,硕士,研究方向:用户居配设施建设,电力保障,光伏发电,充电桩建设,E-mail: 345391092@qq.com; 通信作者:孙少斌(1991—),男,安徽滁州人,工程师,硕士,研究方向:电气自动化,电力信息通信及能源互联网技术,E-mail: 17788391649@163.com; 孔伟(1989—),男,河南周口人,工程师,本科,研究方向:软件工程,国产化系统,能源互联网技术,E-mail: kong_w@foxmail.com; 赵磊(1987—),男,江苏南京人,工程师,本科,研究方向:电力系统软件研发,电力行业业务研究与项目管理,E-mail: 247798787@qq.com。
  • 基金资助:
    基金项目:国网江苏省电力有限公司省管产业单位科技项目(JC2024098)
      

Research on Multi-objective Coordinated Control Method of User-side Energy Storage Based on Harmony System


  1. (Nanjing Suyi Industrial Co., Ltd., Nanjing 210008, China)
  • Online:2025-08-27 Published:2025-08-28

摘要:
摘要:在高比例新能源背景下,优化储能系统的协同运行能够提升整体经济和环境效益,助力可持续发展。本文针对用户侧储能系统优化场景单一的问题,提出一种多目标协调控制策略,并通过改进交替方向乘子法(ADMM)的自适应步长方法,实现用户侧储能系统的分布式协调控制。首先,构建基于鸿蒙系统的用户侧储能分布式框架,并设计针对这些系统的协调控制策略。随后,建立涵盖电能使用成本、环境成本和储能运行成本的多目标优化模型。为解决多目标优化迭代收敛速度不同的问题,采用基于ADMM的自适应步长分布式迭代优化方法,有效提高了运行效率,同时保护了用户侧储能系统的隐私。实验结果显示,提出的分布式框架显著提升了运行效率,多目标协调控制策略显著提高了系统收益。


关键词: 关键词:储能, 交替方向乘子法, 多目标优化, 可再生能源, 协调控制, 分布式算法

Abstract:
Abstract: In the context of a high proportion of new energy sources, optimizing the cooperative operation of energy storage systems can enhance the overall economic and environmental benefits and contribute to sustainable development. This paper proposes a multi-objective coordinated control strategy for the problem of a single optimization scenario of user-side energy storage systems. The distributed coordinated control of user-side energy storage systems is realized by improving the adaptive step-size method of the alternating direction multiplier method (ADMM). Firstly, a distributed framework of user-side energy storage based on Harmony systems is constructed, and a coordinated control strategy for these systems is designed. Subsequently, a multi-objective optimization model encompassing the costs associated with electrical energy usage, environmental impact, and energy storage operation is developed. To address the issue of disparate convergence rates observed during multi-objective optimization iterations, an adaptive step-size distributed iterative optimization method based on ADMM is employed. This approach effectively enhances operational efficiency while safeguarding the privacy of the user-side energy storage system. The experimental results demonstrate that the proposed distributed framework significantly enhances the operational efficiency, while the multi-objective coordinated control strategy markedly enhances the system gain.

Key words: Key words: energy storage, alternating direction multiplier method, multi-objective optimization, renewable energy, coordinated control, distributed algorithm

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