协调分布式模型预测控制用于多能源载体系统
Magda I El-Afifi1,2, Abdelfattah A Eladl3, Magdi M El-Saadawi3
1Electrical Eng. Deparment, Faculty of Engineering, Mansoura University, El-Mansoura, Egypt. magda_ibrahim@nilehi.edu.eg.
Scientific reports
|November 12, 2024
概括
本研究介绍了动态能源中心 (EHs) 的分布式控制系统,以管理可再生能源的整合. 拟议的模型预测控制策略提高了稳定性,优化了性能,尽管能源需求和来源波动.
科学领域:
- 能源系统工程 能源系统工程
- 控制理论 控制理论
- 整合可再生能源的整合
背景情况:
- 能源中心 (EHs) 对于整合可再生能源 (RESs) 至关重要.
- 随机的可再生能源和波动的能源需求造成了诸如电压不稳定和复杂的能源管理等挑战.
- 电力和热负荷的动态响应时间进一步使控制系统复杂化.
研究的目的:
- 为动态能源枢纽提出一个分布式控制系统.
- 应对管理可再生能源和需求波动的挑战.
- 为了优化多载体能源系统的性能.
主要方法:
- 为动态能源枢纽开发分布式控制系统.
- 实施分布式模型预测控制 (MPC) 策略.
- 在多载体系统中考虑RES,负载和运行约束.
主要成果:
- 拟议的分布式MPC战略有效地管理动态能源中心.
- 模拟证明了系统能够处理随机的可再生能源和波动的需求的能力.
- 在基准系统中实现了优化系统性能和稳定性.
结论:
- 分布式控制系统提供了一个可行的解决方案,用于将可再生能源整合到动态EHs中.
- 模型预测控制在不确定的条件下优化能源枢纽运行是有效的.
- 拟议的战略提高了具有高可再生能源透率的能源系统的可靠性和效率.
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