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用于GFM/GFL控制下孤岛微电网安全经济运行的分层多时间尺度能量管理系统
Hierarchical multi-time-scale energy management system for secure and economic operation of islanded microgrids with GFM/GFL control
| 作者 | Tianyou Yua · Muhammad Muzammal Islam · Lidan Zhoua · Ziqiang Wanga · Massimo La Scal · Jie Wanga · Xinping Guana · Gang Yaoa |
| 期刊 | Applied Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 397 卷 |
| 技术分类 | 储能系统技术 |
| 技术标签 | 储能系统 构网型GFM 跟网型GFL 微电网 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | A hierarchical based multi-time-scale EMS considering GFM/GFL control. |
语言:
中文摘要
摘要 可再生能源(RESs)的波动性以及负荷需求的变化可能引起换流器控制器中的功率波动,进而影响能量管理系统,并带来安全性和经济性方面的风险。为应对这些挑战,本文提出了一种新颖的分层多时间尺度能量管理系统(EMS),以提升在混合型电网形成(GFM)与电网跟随(GFL)控制下孤岛微电网的安全性和经济性运行能力。所提出的该方法将GFM和GFL的动作分别集成到二级和三级控制层中,各层通过凸优化模型优化不同的目标,从而确保安全、可靠且经济的功率调度。此外,该框架还引入了一种针对高容量与高功率密度混合储能系统的能量管理策略,在包括统一可再生燃料电池(URFC)在内的不同控制操作下运行,同时满足实时运行约束条件。二级控制层采用模型预测控制(MPC)来解决GFM功率跟踪偏差问题,确保短期电压与频率的调节;而三级控制层则采用混合整数线性规划方法,根据经济性和安全性约束更新功率参考值,特别是确保GFM裕度的合规性。所提框架的有效性通过MATLAB/Simulink仿真以及硬件在环测试得到了验证。
English Abstract
Abstract The variability of renewable energy sources (RESs) and fluctuating load demands can cause power fluctuations in converter controllers, undermining energy management systems and posing security and economic risks. To address these challenges, this paper proposes a novel hierarchical multi-time-scale energy management system (EMS) to enhance the secure and economical operation of islanded microgrids under hybrid grid-forming (GFM) and grid-following (GFL) controls. The proposed methodology integrates GFM and GFL actions into the secondary and tertiary layers, each optimizing distinct objectives in a convex model to ensure secure and reliable economic power dispatch. Moreover, the proposed framework incorporates an energy management strategy for hybrid energy storage systems with high capacity and power density under different control operations, including unified renewable fuel cells (URFC), while adhering to real-time operational constraints. The secondary layer employs model predictive control (MPC) to address GFM power tracking discrepancies, ensuring short-term voltage and frequency regulation, while the tertiary layer uses mixed-integer linear programming to update power references based on economic and security constraints, particularly ensuring GFM margin compliance. The proposed framework’s effectiveness is validated through MATLAB/Simulink simulations and hardware-in-the-loop testing.
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SunView 深度解读
该分层多时间尺度能源管理系统对阳光电源ST系列储能变流器及PowerTitan系统具有重要应用价值。论文提出的GFM/GFL混合控制策略可直接应用于我司构网型储能系统,通过二级层MPC实现短期电压频率调节,三级层混合整数线性规划优化经济调度,与我司VSG技术形成协同。特别是针对URFC等混合储能的管理策略,可为ST系列PCS的多储能协调控制提供算法优化方向,提升孤岛微网的安全性与经济性,增强iSolarCloud平台的智能调度能力。