Deep reinforcement learning for online scheduling of photovoltaic systems with battery energy storage systems

A new online scheduling algorithm is proposed for photovoltaic (PV) systems with battery-assisted energy storage systems (BESS). The stochastic nature of renewable energy sources necessitates the employment of BESS to balance energy supplies and demands under uncertain weather conditions. The propos...

وصف كامل

التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Intelligent and Converged Networks
المؤلفون الرئيسيون:	Yaze Li, Jingxian Wu, Yanjun Pan
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Tsinghua University Press 2024-03-01
الموضوعات:	photovoltaic (pv) battery energy storage system (bess) markov decision process (mdp) deep deterministic policy gradient (ddpg)
الوصول للمادة أونلاين:	https://www.sciopen.com/article/10.23919/ICN.2024.0003