Modeling, Tuning, and Validating System Dynamics in Synthetic Electric Grids

Abstract

A synthetic network modeling methodology has been developed to generate completely fictitious power system models with capability to represent characteristic features of actual power grids. Without revealing any confidential information, synthetic network models can be shared freely for teaching, training, and research purposes. Additional complexities can be added into synthetic models to widen their applications. Thus, this paper aims to extend synthetic network base cases for transient stability studies. An automated algorithm is proposed to assign appropriate models and parameters to each synthetic generator, according to fuel type, generation capacity, and statistics summarized from actual system cases. A two-stage model tuning procedure is also proposed to improve synthetic dynamic models. Several transient stability metrics are developed to validate the created synthetic network dynamic cases. The construction and validation of dynamics for a 2000-bus synthetic test case is provided as an example. Simulation results are presented to verify that the created test case is able to satisfy the transient stability metrics and produce dynamic responses similar to those of actual system cases.

W4IPS: A Web-based Interactive Power System Simulation Environment For Power System Security Analysis

“…As an example, Figure 3. shows the homepage which has an updating interactive oneline diagram of the south area of the synthetic Texas grid [22,23],real-time area data that has the total generation, the total load, the average frequency, the exported real power, and a table for bus voltage violations and a strip-chart, which is scaled to show one minute of voltage magnitude data for some key buses in the system. Each web interface has a MQTT client inside for the real-time data stream communication.…”

Communication Barrier, Spillover Effect and Industrial-Technological Innovation

“…On the one hand, SD theoretical modeling is carried out based on taking full account of the feedback loop inside the system, and the influence of the dynamic changes of each factor is analyzed; on the other hand, it can be explored the extreme historical data. SD model has been widely used in Social-Sciences [26,27] and Natural-Sciences [28,29]. It is a mature method to solve complex system problems.…”

Planning Sensitivities for Building Contingency Robustness and Graph Properties into Large Synthetic Grids

“…Synthetic grids are fictitious datasets that do not contain CEII and are similar to actual datasets in size, complexity, and characteristics. Previous work in this area has produced grid topologies [6]- [8] with applications such as optimization [9], dynamics [10], and education [11]. The goal in building synthetic grids is to spur innovation by providing publishable test cases to research communities across multiple disciplines that are associated with the electric grid.…”