考虑不同场景的微电网短期经济调度分析

Analysis of Short-Term Economic Dispatch of Microgrid Considering Different Scenarios

因风、光出力存在较大的波动性,大规模的风、光电并网会影响微电网的经济调度运行。为研究在短时间尺度下风、光电并网对微电网的经济调度影响,以模糊神经网络算法对风、光出力进行预测,并结合三种不同场景,建立以融合日前1 h尺度优化与日内15 min尺度滚动修正,及1 min尺度实时调度的短期优化调度模型。以微电网综合效益最大化为目标,对短时间尺度下微电网的经济调度采取更加精细化的调度策略。结果表明,微电网能在不同场景的短期尺度下,提高各电源的精细化调度水平,实现经济效益最大化。

Due to the large fluctuation of wind and light output, large-scale wind and light grid connection will affect the economic dispatching operation of microgrid. In order to study the influence of wind-solar integration on the economic dispatch of microgrid in a short time scale, the wind-solar output is predicted by fuzzy neural network algorithm, and a short-term optimal dispatch model is established by combining with three different scenarios, which integrates the scale optimization of 1 hour before the day, the rolling correction of 15 minutes within the day and the real-time dispatch of 1 minute scale. In order to maximize the comprehensive benefits of microgrid, the economic dispatch strategy of microgrid in short-term time scale is refined. The results show that microgrid can improve the fine scheduling level of each power supply in short-term scale of different scenarios and maximize economic benefits.