Development of an approach based on multi-agent deep reinforcement learning algorithm for voltage regulation in low voltage distribution networks with high photovoltaic penetration
عنوان مقاله: Development of an approach based on multi-agent deep reinforcement learning algorithm for voltage regulation in low voltage distribution networks with high photovoltaic penetration
شناسه ملی مقاله: MIAC01_040
منتشر شده در اولین کنفرانس ملی توسعه پایدار در مدیریت، صنایع و حسابداری در سال 1402
شناسه ملی مقاله: MIAC01_040
منتشر شده در اولین کنفرانس ملی توسعه پایدار در مدیریت، صنایع و حسابداری در سال 1402
مشخصات نویسندگان مقاله:
Mohammadreza Mohammadiya Asiabar - Master's degree, Islamic Azad University, Karaj branch
خلاصه مقاله:
Mohammadreza Mohammadiya Asiabar - Master's degree, Islamic Azad University, Karaj branch
This paper proposes a multi-agent deep reinforcement learning based approach for distributionsystem voltage regulation with high penetration of photovoltaics (PVs). The designed agentscan learn the coordinated control strategies from historical data through the counter-training oflocal policy networks and centric critical networks. The learned strategies allow us to performonline coordinated control. Comparative results with other methods show the enhanced controlcapability of the proposed method under various conditions
کلمات کلیدی: Voltage regulation, multiagent deep reinforcement learning, coordinated control, distribution system
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1935921/