论文标题
活动分配系统的快速概率托管能力分析
Fast Probabilistic Hosting Capacity Analysis for Active Distribution Systems
论文作者
论文摘要
分布式能源资源（DER）的互连研究目前可能需要几个月的时间，因为它们需要模拟大量的电源流程。如果要积极控制DER，则概率托管能力分析（PHCA）的研究将变得更加耗时，因为它们需要解决多个最佳功率流（OPF）任务。在这里利用多参数编程（MPP）的强大工具来加快PHCA。使用近似网格模型，最佳DER设定值由二次程序决定，该程序取决于以非线性方式分析和不确定参数。通过重新制定该计划，以统一的方式处理可行且不可行的OPF实例，以唯一揭示违规馈线的位置，频率和严重性。新型近似模型也捕获了电压调节器的效果。将MPP正确扩展到PHCA后，我们能够在IEEE 123-BUS馈线上找到518,400个OPF实例的确切最小化器，通过仅求解1,160个BUS馈线，仅通过求解2,111个实例来解决1,160个BUS馈线的86,400个实例。因此，将PHCA加速了10倍。因此，实用程序可以使用现实世界数据迅速推断网格统计信息，而无需对不确定参数的概率表征。
Interconnection studies for distributed energy resources (DERs) can currently take months since they entail simulating a large number of power flow scenarios. If DERs are to be actively controlled, probabilistic hosting capacity analysis (PHCA) studies become more time-consuming since they require solving multiple optimal power flow (OPF) tasks. PHCA is expedited here by leveraging the powerful tool of multiparametric programming (MPP). Using an approximate grid model, optimal DER setpoints are decided by a quadratic program, which depends on analysis and uncertain parameters in a possibly nonlinear fashion. By reformulating this program, feasible and infeasible OPF instances alike are handled in a unified way to uniquely reveal the location, frequency, and severity of feeder constraint violations. The effect of voltage regulators is also captured by novel approximate models. Upon properly extending MPP to PHCA, we were able to find the exact minimizers for 518,400 OPF instances on the IEEE 123-bus feeder by solving only 6,905 of them, and 86,400 instances on a 1,160-bus feeder by solving only 2,111 instances. This accelerated PHCA by a factor of 10. Thus, a utility can promptly infer grid statistics using real-world data without a probabilistic characterization of uncertain parameters.
