A double-deck deep reinforcement learning-based energy dispatch strategy for an integrated electricity and district heating system embedded with thermal inertial and operational flexibility

• المؤلفون الرئيسيون: Zhang, Bin, Ghias, Amer M. Y. M., Chen, Zhe
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Integrated Energy Systems; Renewable Energy
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164664

With the high penetration of wind power connected to the integrated electricity and district heating systems (IEDHSs), wind power curtailment still inevitably occurs in the traditional IEDHS dispatch. Focusing on the flexibilities of the IEDHS is considered to be a beneficial solution to further pro...