Look-ahead Dynamic Simulation
Look-ahead dynamic simulation software system incorporates the high performance parallel computing technologies, significantly reduces the solution time for each transient simulation case, and brings the dynamic simulation analysis into on-line applications to enable more transparency for better reliability and asset utilization. It takes the snapshot of the current power grid status, functions in parallel computing the system dynamic simulation, and outputs the transient response of the power system in real time.
Dynamic Contingency Analysis Tool (DCAT) for evaluating power grid cascading outage potential due to extreme events - Open Source
The Dynamic Contingency Analysis Tool (DCAT) is an open-platform and publicly available methodology to help develop applications that aim to improve the capabilities of power system planning engineers to assess the impact and likelihood of extreme contingencies and potential cascading events across their systems and interconnections. Outputs from the DCAT will help find mitigation solutions to reduce the risk of cascading outages in technically sound and effective ways. The current prototype DCAT implementation has been developed as a Python code that accesses the simulation functions of the Siemens PSS (Trademark) E planning tool (PSS/E). It has the following features: It uses a hybrid dynamic and steady-state approach to simulating the cascading outage sequences that includes fast dynamic and slower steady-state events. It integrates dynamic models with protection scheme models for generation, transmission, and load. It models special protection systems (SPSs)/remedial action schemes (RASs) and automatic and manual corrective actions. Overall, the DCAT attempts to bridge multiple gaps in cascading-outage analysis in a single, unique prototype tool capable of automatically simulating and analyzing cascading sequences in real systems using multiprocessor computers. This study has been conducted in close collaboration with grid operators, Siemens Power Technologies International (PTI) and the Electric Power Research Institute (EPRI). While the DCAT has been implemented using PSS/E in Phase I of the study, other commercial software packages with similar capabilities can be used within the DCAT framework.
Multi-period Nash bargaining for Coordination of Distributed Energy Resources (Open Source)
Flexibility from distributed energy resources presents an enormous potential to provide various services to the smart grid. In this paper, we propose a unified hierarchical framework for aggregation and coordination of various flexible loads, such as commercial building Heating, Ventilation, and Air-Conditioning (HVAC) systems, Thermostatically Controlled Loads (TCLs), Distributed Energy Storages (DESs), residential Pool Pumps (PPs), and Electric Vehicles (EVs). Moreover, a multi-stage Nash-bargaining-based control strategy is proposed to coordinate different aggregations of flexible loads for demand response. Case studies are provided to demonstrate the efficacy of our proposed framework and coordination strategy in managing peak power demand in a community.
Fenix - Framework for Network Co-Simulation
Any co-simulation framework must manage the exchange of information as well as the synchronization of the clocks between simulations. The Fenix (Trademark) framework for network co-simulation addresses the drawbacks of other known co-simulation frameworks. Specifically, Fenix (Trademark) provides a capability allowing all simulations to speculate whether they can forego time synchronization for a certain period without loss of simulation accuracy. Further, Fenix (Trademark) allows speculative multithreading at runtime, without compiler assistance. This technique has not yet been applied as a means of accelerating co-simulations. Besides speculation, Fenix (Trademark) also provides novel time synchronization algorithms which take into account network traffic delays if a network simulator is part of the co-simulation.
GridOPTICS Software System (GOSS) Architecture for the Power Grid
GridOPTICS Software Framework is a flexible software system for ingesting data from sensors in the field, storing configuration and model data; and providing the data to analytics applications in a flexible and easy to use manner. The output of the analytics applications can be stored together with the data that was used to create the outputs.