李相俊;盛兴;闫士杰;王上行;

• 1:新能源与储能运行控制国家重点实验室(中国电力科学研究院有限公司)
• 2:国家电网有限公司
• 3:东北大学信息科学与工程学院

摘要(Abstract)：

传统的集中式优化方法由于依赖集中控制器并不能较好地实现超大规模储能系统的分布式协调能源管理。因此,该文旨在开发并利用有效的分布式交替方向乘子法来解决超大规模储能系统的协同优化管理问题。首先,以总的最小充放电惩罚为目标,建立了超大规模电池储能电站储能子系统多智能体协同优化自治控制模型,并考虑了多种储能操作约束。进而,将整个系统的大型优化问题拆分为各子储能装置的本地优化问题。在仅利用局部通信的情况下,每个子储能装置可本地计算出全局的最优解,实现了去中心化的目的,具有较好的灵活性、鲁棒性、可拓展性等优势,适合超大规模储能系统的集成发展。通过对21节点储能系统进行仿真,验证了所述方法的有效性。

关键词(KeyWords)： 超大规模储能系统;分布式优化;能源管理;协同优化;电池能量管理系统

Abstract:

Keywords:

基金项目(Foundation): 国家电网公司科技项目(DG71-18-009)：基于信息物理融合的超大规模电池储能电站智能协调控制与能量优化管理——超大规模电池储能电站仿真模型及其暂态变化特性研究的资助~~

作者(Author): 李相俊;盛兴;闫士杰;王上行;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.2030

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