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Real-Time Energy Management Algorithm for Mitigation of Pulse Loads in Hybrid Microgrids

机译：减轻混合微电网中脉冲负载的实时能量管理算法

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摘要

This paper presents a real-time energy management algorithm for hybrid ac/dc microgrids involving sustainable energy and hybrid energy storage. This hybrid storage system consists of super capacitors (SC) for ultra-fast load matching beside lithium-ion batteries for relatively long term load buffering. The energy management algorithm aims mainly at managing the energy within the system such that the effect of pulsed (short duration) loads on the power system stability is minimized. Moreover, an average annual saving of around 7% is achieved by shifting loads to off-peak hours. The expected energy needed during a future peak, the time of its occurrence and the current state of charge of both elements of the hybrid storage system are all examples of the inputs to the algorithm. A nonlinear regression technique is used to obtain mathematical models for the uncertain quantities including load and sustainable energy curves. The results show a significant improvement for the system in terms of voltage and power stability by applying the proposed algorithm.
机译：本文提出了一种用于混合式AC / DC微电网的实时能源管理算法，该算法涉及可持续能源和混合能源存储。该混合存储系统由超级电容器（SC）组成，可实现锂离子电池以外的超快速负载匹配，以提供相对长期的负载缓冲。能量管理算法主要旨在管理系统内的能量，以使脉冲（短持续时间）负载对电力系统稳定性的影响最小。此外，通过将负载转移到非高峰时间，每年平均可节省约7％。未来峰值所需的预期能量，其出现时间和混合存储系统两个元素的当前荷电状态都是该算法输入的示例。非线性回归技术用于获得不确定量的数学模型，包括负载和可持续能源曲线。结果表明，通过应用所提出的算法，该系统在电压和功率稳定性方面有了显着改善。

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