在DC-AC微电网中,用于对平行电压源逆变器的波减轻和性能改进的先进控制方案
Buddhadeva Sahoo1, Subhransu Ranjan Samantaray2, Mohammed M Alhaider3
1Department of Electrical and Electronics Engineering, SR University, Warangal, 506371, Telangana, India. buddhadeva@sru.edu.in.
Scientific reports
|February 27, 2025
概括
本研究介绍了使用光伏和电池的混合微电网 (HMG) 的有限集模型预测控制 (FS-MPC). 先进的控制策略在动态条件下提高了电源质量和可靠性.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 控制系统 控制系统
背景情况:
- 混合微电网 (HMG) 集成光伏 (PV) 系统和电池存储对于电网的稳定性和可靠性至关重要.
- 在具有并行逆变器的多阶段HMG中,管理电流和确保直流链的电压稳定性存在重大控制挑战.
研究的目的:
- 为基于电池的三相,两相光伏和HMG提出一个有限集模型预测控制 (FS-MPC) 策略.
- 通过优化能源管理和减少计算复杂性来提高电源质量 (PQ) 和可靠性 (PR).
主要方法:
- 开发一个离散时间的HMG模型,用于预测电网,循环和偏移电流.
- 在FS-MPC中选择性地应用64个切换向量,以减少计算负载,同时保持性能.
- 集成基于增量导电性的最大功率点跟踪算法 (IC-MPA) 和双向转换器模型.
- 实施集中式能源管理技术 (CEMT) 以优化能源流动.
主要成果:
- 在动态运行条件下,在功率质量 (PQ) 和可靠性 (PR) 中显著改善.
- 实现了增强的和补偿和频率不稳定性的缓解.
- 通过模拟和硬件实验验证实更快的响应时间和实际有效性.
结论:
- 拟议的FS-MPC战略提供了一种有效的解决方案,用于实时控制基于光伏和电池的HMG.
- 该方法成功地在复杂的微电网应用中平衡了计算效率和高性能.
- 该研究强调了该系统提高整体微电网稳定性和能源利用的能力.
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