Transmission impedance control impacts on carbon emissions and renewable energy curtailment
Transmission impedance control impacts on carbon emissions and renewable energy curtailment
复制标题
传输阻抗控制对碳排放和可再生能源削减的影响
DOI：
10.1016/j.energy.2023.127741
复制
发表时间：
2023
期刊：
影响因子：
9
通讯作者：
Sahraei-Ardakani, Mostafa
中科院分区：
文献类型：
--
作者：
Mirzapour, Omid;Rui, Xinyang;Sahraei-Ardakani, Mostafa
在过去的二十年里，为了应对气候变化，电网发生了重大变化。可再生能源发电水平的提高，作为这一演变的一个突出特征，导致了输电网络的新拥堵模式。传输系统最初是为传统能源设计的，具有可预测的流量模式。在拥挤的输电系统中，输电能力不足导致了更昂贵的发电厂和更高水平的可再生能源弃电。缓解拥塞的一种方法是通过可变阻抗柔性交流输电系统（FACTS）设备采用潮流控制。本文研究了在美国主要区域输电组织的发电组合和代表季节变化的不同负荷曲线的广泛情景下，潮流控制对发电成本、碳排放和可再生能源弃风的影响。采用两阶段随机单元承诺，包括FACTS调整，来评估FACTS设备对不同类型和渗透水平的可再生能源的影响。结果表明，FACTS的安装有效地降低了发电成本、碳排放和可再生能源弃风。影响因素包括可再生能源的位置、高峰时段需求和系统的发电组合。
The electric power grid has evolved significantly over the past two decades in response to climate change. Increased levels of renewable energy generation, as a prominent feature of this evolution, have led to new congestion patterns in the transmission network. The transmission system is originally designed for conventional energy sources, with predictable flow patterns. Insufficient transfer capability in congested transmission systems results in commitment of more expensive power plants and higher levels of renewable energy curtailment. One way to mitigate congestion is adoption of power flow control through variable-impedance flexible ac transmission system (FACTS) devices. In this paper the impacts of power flow control on generation cost, carbon emissions and renewable energy curtailment are studied under a wide range of scenarios, including generation mix from major US regional transmission organizations, and different load curves, representing seasonal variations. A two-stage stochastic unit commitment, including FACTS adjustment, is used to evaluate the impacts of FACTS devices on various types and penetration levels of renewable energy. The results show that FACTS installation effectively reduces generation cost, carbon emissions, and renewable energy curtailment. Location of renewable energy resources, peak-hour demand and the system's generation mix are among the influential factors.