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Network-Constrained Unit Commitment Incorporating Dynamic Thermal Rating and Transmission Line Switching

机译：结合动态热额定值和传输线切换的网络约束单元承诺

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摘要

The increasing penetration levels and stochastic characteristics of renewable energies and aging of transmission equipment bring potential negative impact on the economic and reliable operation of power grid. Therefore, the realistic and cost-effective choice for the utilities is to tap the potential of existing transmission infrastructures. Some smart grid technologies can leverage the potential transmission capacity and offer a flexible way for the power system operation. The dynamic thermal rating can evaluate the maximum transmission capacity of lines dynamically based on the environmental data. The optimal transmission switching can change the transmission topology and remove the transmission congestions. These technologies should be considered in the network-constrained unit commitment problem systematically to study their impact on the power system scheduling. However, the dynamic thermal rating incorporated network-constrained unit commitment studies are all based on the fixed transmission topology. So the overall influence of dynamic thermal rating and transmission line switching on network-constrained unit commitment has not been studied as yet. In this paper, the line switching technology and dynamic line rating according to multi-regional environmental information are incorporated in the network-constrained unit commitment framework. Case studies are implemented on a modified RTS-79 system. The simulation results verify the effectiveness of the coordination of two technologies in the reduction of generation cost and wind curtailment.
机译：可再生能源的渗透水平和随机性的提高以及输电设备的老化，对电网的经济性和可靠运行带来潜在的负面影响。因此，公用事业的现实和具有成本效益的选择是挖掘现有传输基础设施的潜力。一些智能电网技术可以利用潜在的传输容量，并为电力系统的运行提供灵活的方式。动态热额定值可以根据环境数据动态评估线路的最大传输容量。最佳的传输切换可以改变传输拓扑并消除传输拥塞。应该在网络受限的机组承诺问题中系统地考虑这些技术，以研究它们对电力系统调度的影响。但是，包含网络约束的单元的动态热额定值研究均基于固定的传输拓扑。因此，尚未研究动态热额定值和传输线切换对受网络约束的设备承诺的总体影响。在本文中，将基于多区域环境信息的线路交换技术和动态线路等级纳入了网络受限的单元承诺框架。案例研究在改进的RTS-79系统上进行。仿真结果验证了两种技术的协调在降低发电成本和减少风力发电方面的有效性。

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