Software for Transformative Remedial Action Scheme Tool (TRAST)
The transformative remedial action scheme tool (TRAST) can be applied to improve and validate the power systemremedial action scheme (RAS), and further improve the performance of power system operation and control. This toolprovides a full suite of advanced functionalities, which are given as follows:1. Advanced statistical data analysis;2. OPF-based automated power flow case generation;3. Customized dynamic simulation in HPC/cloud platform;4. Machine learning based RAS coefficient prediction;5. A reliable RAS validation strategy in multiple commercial platforms.
ExaGO: Exascale Grid Optimization Toolkit
ExaGO, Exascale Grid Optimization Toolkit, is a library for solving large-scale power system stochastic multi-period security-constrained optimization problems on next-generation exascale architectures that a heavy emphasis on general purpose graphical processing units
Transactive Energy Simulation Platform (TESP) - Open Source
TESP combines existing domain simulators in the electric power grid, with new transactive agents, growth models and evaluation scripts. The existing domain simulators include GridLAB-D for the distribution grid and single-family residential buildings, MATPOWER for transmission and bulk generation, and EnergyPlus for large buildings. More are planned for subsequent versions of TESP. The new elements are: TEAgents - simulate market participants and transactive systems for market clearing. Some of this functionality was extracted from GridLAB-D and implemented in Python for customization by PNNL and others. Growth Model - a means for simulating system changes over a multiyear period, including both normal load growth and specific investment decisions. Customizable in Python code. Evaluation Script - a means of evaluating different transactive systems through customizable post-processing in Python code. TESP will run on Linux, Windows and Mac OS X.
Oscillation Baselining and Analysis Tool - Open Source
PNNL developed a new tool for oscillation analysis and baselining. This tool has been developed under a new DOE Grid Modernization Laboratory Consortium (GMLC) Project (GM0072 - 'Suite of open-source applications and models for advanced synchrophasor analysis") and it is based on the open platform for PMU analysis. The Oscillation Baselining and Analysis Tool (OBAT) performs the oscillation analysis and identifies modes of oscillations (frequency, damping, energy, and shape). The tool also does oscillation event baselining (fining correlation between oscillations characteristics and system operating conditions)
GridAPPS-D
GridAPPS-D is an open-source, open architecture, standards based platform for development of advanced electric power system planning and operations applications. GridAPPS-D provides a documented data abstraction for the application developer enabling creation of applications that can be run in any compliant system or platform. This enables development of applications that are platform vendor independent applications and applications that take advantage of the possibility of data rich and data driven applications based on deployment of smart grid devices and systems.
HELICS High-Performance Transmission-Distribution-Communication-Market Co-Simulation Framework
See attachment.
Energy Operation Model (EOM)
Energy Operation Model (EOM) was an open source production cost tool developed at Pacific Northwest National Laboratory to serve as an open source production cost tool for renewable integration studies. EOM repeatedly and automatically formulates UC as MILP problems and solves them by calling CPLEX through an evaluation period that can be customized. It outputs the production cost, generation by unit and category, fuel usage, locational marginal price (LMP), etc.
Grid Optimization (GO) Competition Platform (ARPA-E iEdison No. 0685901-20-0007)
A software for a multi-challenge power-flow grid optimization competition was developed. The platform brings together high performance computing clusters, webservers, databases, competition datasets, schedulers, evaluation codes, and a multitude of language compilers and optimization solvers to host the competition. The original video announcing the competition, from former Secretary Perry, at: https://www.youtube.com/watch?v=hZwX3P9vS8M More information at the following link, which includes the ranking of the teams (overall) and a video by U.S. Energy Secretary Dan Brouillette. https://arpa-e.energy.gov/?q=news-item/department-energy-announces-grid-optimization-competition-challenge-1-winners