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Adaptive energy consumption scheduling of multi-microgrid using whale optimization algorithm

机译:使用鲸鲸优化算法的多微电网的自适应能耗调度

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In this paper, we investigated the day-ahead scheduling of network consisting of several distributed generation sources and connected loads. This scheduling is an optimization problem that has two objective functions, namely, operating costs and the cost caused by the emission of pollutants. In this scheduling, while introducing a new structure for micro-grid utilization, the possibility of exchanging power among networks and exchanging power between networks and the upstream distribution network is provided. The uncertainty of distributed wind generation sources and solar units has been investigated using appropriate probabilistic distributions. Incent-driven load-responsiveness management programs have been used as to encourage subscribers to reduce their power consumption during high-load hours. Whale optimization algorithm has been used for scheduling of network.
机译:在本文中,我们调查了由几个分布式发电源和连接负载组成的网络的前一天的计划。 该调度是一种优化问题,具有两个客观功能,即运营成本以及由污染物排放引起的成本。 在该调度中,在引入用于微电网利用的新结构的同时,提供了在网络中交换电力并在网络之间交换电力的可能性以及上游分配网络的可能性。 使用适当的概率分布研究了分布式风力产生来源和太阳能电池单元的不确定性。 被驱动的负载响应性管理计划已被用作鼓励用户在高负荷小时内降低其功耗。 鲸鱼优化算法已用于网络的调度。

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