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Robust Optimal Dispatch of AC/DC Hybrid Microgrids Considering Generation and Load Uncertainties and Energy Storage Loss

机译:考虑发电和负荷不确定性和储能损失的AC / DC混合微电网的鲁棒最优调度

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Uncertainties from generation sources and loads have introduced tremendous challenges to the optimal dispatch of microgrids. This paper presents a novel two-stage min-max-min robust optimal dispatch model for a representative islanded ac/dc hybrid microgrid that faces uncertainties in renewable energy generation and customer loads. The first stage of the model determines the startup/shutdown state of the diesel engine generator and the operating state of the bidirectional converter of the microgrid. Then, the second stage optimizes the power dispatch of individual units in the microgrid. A new linearized equipment cost model is developed, counting for the degradation of energy storage. The use of this linear model helps maintain the linearity of the objective function without compromising solution accuracy. The column-and-constraint generation algorithm is implemented to efficiently obtain a robust dispatching plan for the microgrid, which minimizes the daily operating cost in the worst-case scenario. A case study and sensitivity analyses further demonstrate the rationale and the unique capability of the proposed model for the operation scheduling of ac/dc hybrid microgrids.
机译:发电来源和负荷的不确定性给微电网的优化调度带来了巨大挑战。本文针对具有代表性的孤岛式AC / DC混合微电网,提出了一种新颖的两阶段最小-最大-最小鲁棒最优调度模型,该模型在可再生能源发电和客户负荷方面面临不确定性。模型的第一阶段确定柴油发动机发电机的启动/关闭状态以及微电网的双向转换器的运行状态。然后,第二阶段优化微电网中各个单元的功率分配。开发了一种新的线性化设备成本模型,该模型计算了能量存储的退化。使用此线性模型有助于维持目标函数的线性,而不会影响求解精度。实施列约束算法可以有效地获取微电网的鲁棒调度计划,从而在最坏的情况下将日常运营成本降至最低。案例研究和敏感性分析进一步证明了所提出模型用于交直流混合微电网运行调度的原理和独特能力。

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