Operation optimisation of direct current microgrids toward stability and economy: a model-data co-driven framework.

Yuxin Zhu, Fei Wang, Zhengyu Lin, James Fleming
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Abstract

Direct current microgrids are widely regarded as a promising clean power system technique. However, the microgrid stability is challenged by routine operations and unplanned faults, especially when the operation optimisation overly pursues economy at the expense of stability. This paper proposes a stability-constrained operation optimisation to balance the stability and economy of islanded direct current microgrids. The proposed stability-constrained operation optimisation is formulated as a nonlinear optimisation model and a model-data co-driven solution algorithm is developed. The proposed method strictly guarantees the stability requirements. Furthermore, the proposed method consists of local convex approximations and a small amount of stability evaluation, thus exhibiting high efficiency. Case study illustrates that the proposed method is not affected by prediction errors and avoids the violation of stability constraints. In some tests, the proposed method keeps the solution time within seconds compared to the model-driven method that may take up to the minute level.

面向稳定性和经济性的直流微电网运行优化:模型-数据共同驱动框架。
直流微电网被广泛认为是一种很有前途的清洁电力系统技术。然而,微电网的稳定性受到常规运行和计划外故障的挑战,特别是当运行优化过度追求经济性而牺牲稳定性时。为了平衡孤岛直流微电网的稳定性和经济性,提出了一种稳定约束的运行优化方法。提出了一种非线性优化模型,并提出了一种模型-数据协同驱动的求解算法。该方法严格保证了系统的稳定性要求。此外,该方法由局部凸逼近和少量的稳定性评估组成,具有较高的效率。实例研究表明,该方法不受预测误差的影响,避免了稳定性约束的破坏。在一些测试中,与模型驱动的方法相比,建议的方法将解决时间保持在几秒钟内,而模型驱动的方法可能需要几分钟的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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