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Updated: Jul 18, 2025

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
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在使用DRL的DNA中最佳反应电力调度及其各种设置和环境变化的影响

Tassneem Zamzam1, Khaled Shaban2, Ahmed Massoud1

  • 1Electrical Engineering Department, Qatar University, Doha 2713, Qatar.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究探讨了在主动配电网络 (ADN) 中实现最佳反应功率调度 (ORPD) 的深度强化学习 (DRL). 结果显示,互补奖励功能显著提高了性能,并减少了融合时间.

关键词:
活跃的分销网络是一个活跃的分销网络.深度强化学习的学习.这就是超参数的超参数.神经网络的神经网络的神经网络最佳的反应功率调度.电力损失 电力损失反应功率的反应功率.奖励功能是奖励的功能.

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