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Composite Power System Reliability Evaluation Incorporating Network Topology Optimization and Demand Side Management

机译:结合网络拓扑优化和需求侧管理的复合电力系统可靠性评估

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As one of the most critical infrastructures in the nation, the asset utilization efficiency and reliable operation of power system are major concerns for the electric utilities and other stakeholders. The implementation of new smart grid technologies helps offer more flexible operation modes for the power system. Demand side management could improve the adequacy of power systems by regulating energy consumption pattern and shaving the peak load. Novel network topology optimization strategies can promote the utilization efficiency of transmission systems and relieve the transmission congestions by optimizing the network reconfiguration. Both technologies could make contributions to the improvement of power system reliability levels by enabling a better utilization of existing assets. However, traditional reliability evaluation studies incorporating demand response are all based on fixed network topology. So the overall impact of combined demand side management and network reconfiguration has not been studied as of yet. In this paper, multiple demand side management programs and network topology optimization model are integrated in a composite reliability evaluation framework. Case studies are performed on a modified RTS-79 system. The results of case studies verify the effectiveness of the coordination between two technologies in enabling composite power system reliability enhancement.
机译:作为美国最关键的基础设施之一,资产利用率和电力系统的可靠运行是电力公司和其他利益相关者的主要关注点。新智能电网技术的实施有助于为电力系统提供更灵活的运行模式。需求侧管理可以通过调节能耗模式和削减峰值负载来改善电力系统的充足性。新型的网络拓扑优化策略可以通过优化网络重构,提高传输系统的利用率,缓解传输拥塞。两种技术都可以通过更好地利用现有资产来为提高电力系统的可靠性做出贡献。但是,结合需求响应的传统可靠性评估研究都是基于固定网络拓扑的。因此,到目前为止,尚未研究结合需求侧管理和网络重新配置的总体影响。在本文中,将多个需求侧管理程序和网络拓扑优化模型集成在一个综合可靠性评估框架中。案例研究是在改良的RTS-79系统上进行的。案例研究的结果证明了两种技术之间的协调在增强复合电力系统可靠性方面的有效性。

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