Hybrid energy storage lifetime-oriented control strategy in islanded microgrids: A real time simulation case study

Tobias Häring, Luca Link, A. Rosin, H. Biechl
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引用次数: 2

Abstract

To reduce greenhouse gas emissions, volatile energy production from renewable sources is highly encouraged by international agreements. This leads to balancing challenges of demand and supply which can be addressed with smart grids or even smart city concepts. Demand side management control strategies for flexibility harvesting often include energy storage systems, like flywheel- (FESS) and battery (BESS) storages. To investigate different control strategies for a hybrid energy storage system with a flywheel and battery storage in an islanded microgrid, an existing flywheel is modernized with state-of-the-art components to support real time power hardware in the loop simulations. Testing a load levelling control strategy with this test bench showed that the cyclic lifetime of the battery storage system could be increased with peak shaving due to a reduced amount of charging and discharging operations. An excessive energy buffering control method could increase the islanded operation time by using nearly 10% of the otherwise lost energy. However, these results with the testbench showed limited use for research with the current setup due to low capacity and high self-discharge rate of the existing FESS. But due to the MATLAB-based programming interface, it is perfectly suitable as an educational setup for the demonstration of possible implementations of the European Green Deal.
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孤岛微电网混合储能寿命控制策略:实时仿真案例研究
为了减少温室气体排放,国际协议大力鼓励利用可再生能源生产不稳定的能源。这导致平衡需求和供应的挑战,这可以通过智能电网甚至智能城市概念来解决。灵活收集的需求侧管理控制策略通常包括能源存储系统,如飞轮(FESS)和电池(BESS)存储。为了研究孤岛微电网中具有飞轮和电池储能的混合储能系统的不同控制策略,对现有飞轮进行了现代化改造,配备了最先进的组件,以支持实时电源硬件在环仿真。利用该试验台对负载均衡控制策略进行了测试,结果表明,由于充放电操作的减少,电池储能系统的调峰可以增加循环寿命。过度能量缓冲控制方法可以利用近10%的能量损失来增加孤岛运行时间。然而,由于现有FESS的低容量和高自放电率,试验台的这些结果表明,目前的设置对研究的使用有限。但是由于基于matlab的编程接口,它非常适合作为示范欧洲绿色协议可能实施的教育设置。
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