新型耦合发电系统随机动态仿真计算数据
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建立适用于间歇性可再生能源的随机动态优化方法,提出新型耦合发电系统内部容量配置和运行优化技术。本课题研究产生的数据主要包括新型耦合发电系统的容量配置和随机动态优化技术为核心的调频AGC信号数据、配置优化运行数据以及随机动态优化运行数据等,主要采集地点在北京、江苏等地区,通过现场采集、建模仿真等方式获得。
This study develops stochastic dynamic optimization methods tailored for intermittent renewable energy sources, and proposes novel internal capacity allocation and operational optimization technologies for coupled power generation systems. The data generated by this research mainly includes frequency regulation AGC signal data centered on the capacity allocation and stochastic dynamic optimization technologies of the novel coupled power generation system, configuration optimization operational data, and stochastic dynamic optimization operational data. Such data is primarily collected in regions such as Beijing and Jiangsu, obtained through on-site data collection, modeling and simulation, and other approaches.




