不确定条件下交直流混合微电网两阶段优化调度策略

Zhuhang Zhuo, Junjie Yang, F. Hu, Kaixu Yang, Naifan Xue
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引用次数: 1

摘要

考虑到微网运行容易受到各种不确定因素的影响,以及当前直流负荷率不断提高的趋势,本文提出了交直流混合微网的两阶段优化调度策略。首先,利用分时电价(TOU)协调可再生能源、蓄电池和可转移负荷输出,制定日调度计划;此外,为了减少不确定因素的影响,引入可中断负荷,实时修正日调度计划。采用改进的非支配排序遗传算法(NSGA-II)实现了所提策略,并通过算例验证了所提策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-Stage Optimized Dispatch Strategy of AC/DC Hybrid Microgrid under Uncertainty
Considering that the operation of microgrid is susceptible to various uncertain factors and the current trend of increasing DC load ratio, this paper proposed a two-stage optimized dispatch strategy for the AC/DC hybrid microgrid. Firstly, the time of use (TOU) power price are applied to coordinate the renewable energy, storage batteries, and transferable load output to formulate a daily dispatch plan. In addition, in order to reduce the influence of uncertainty factors, the interruptible load is introduced to correct the daily dispatch plan in real time. The improved non-dominated sorting genetic algorithm (NSGA-II) is used to realize the proposed strategy, and the effectiveness of the proposed strategy is verified in the example.
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