← 返回
考虑荷电状态分区的储能最优配置及其一次调频性能研究
Optimal Energy Storage Configuration for Primary Frequency Regulation Performance Considering State of Charge Partitioning
| 作者 | Jiacheng Li · Yixiang Huang · Xun Dou · Shunjiang Wang · Tianfeng Chu |
| 期刊 | IEEE Transactions on Sustainable Energy |
| 出版日期 | 2025年4月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 调峰调频 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 可再生能源 多类型储能 频率稳定性 容量配置 生命周期规划成本 |
语言:
中文摘要
随着可再生能源在电力系统中占比不断提升,其出力的间歇性与不确定性对电网频率稳定性造成影响。为此,本文提出一种考虑荷电状态(SOC)分区及调频性能匹配的多类型储能配置方法。首先,采用变分模态分解(VMD)方法对自动发电控制(AGC)信号进行分解与重构,并结合锂离子电池与飞轮储能的充放电特性,将不同频率成分分配至相应的储能系统。其次,构建了考虑SOC分区的多类型储能容量优化配置模型,以储能全寿命周期规划成本最小为目标函数。基于华北某地区实际数据,在不同场景下进行案例分析,验证了所提方法的有效性。结果表明,该方法可显著缩短计算时间,优化储能运行工况,降低全寿命周期成本。
English Abstract
The proportion of renewable energy in the power system continues to rise, and its intermittent and uncertain output has had a certain impact on the frequency stability of the grid. Therefore, a multi-type energy storage (ES) configuration method considering State of Charge (SOC) partitioning and frequency regulation performance matching is proposed for primary frequency regulation. Firstly, the Automatic Generation Control (AGC) signal is decomposed and reconstructed using the variational mode decomposition (VMD) method. Specifically, by combining the charge and discharge characteristics of Li-ion battery and flywheel energy storage (FES), component signals of different frequencies are allocated to different ES systems. Secondly, a multi-type ES capacity allocation optimization model considering SOC partitioning is developed, with the objective function being the minimization of the whole life-cycle planning cost of ES. Finally, based on actual data from a region in North China, the proposed method is verified by analyzing case studies under different scenarios. The results demonstrate that the method can effectively reduce computation time, optimize ES operating conditions, and thus lower the whole life-cycle planning cost of ES.
S
SunView 深度解读
该研究对阳光电源ST系列储能变流器和PowerTitan储能系统的调频应用具有重要价值。SOC分区策略可直接应用于ESS集成方案的能量管理系统,通过VMD信号分解实现锂电池与飞轮混合储能的协调控制,优化ST2000/ST2500变流器的功率分配策略。该方法与阳光电源构网型GFM控制技术结合,可提升储能系统一次调频响应速度和精度,延长电池循环寿命。全寿命周期成本优化模型为iSolarCloud平台的智能运维和容量配置决策提供算法支撑,特别适用于新能源场站侧储能和独立调频电站的经济性评估与优化配置。