HELICS documentation

https://badges.gitter.im/GMLC-TDC/HELICS.png https://img.shields.io/badge/docs-ready-blue.svg https://img.shields.io/conda/pn/gmlc-tdc/helics.svg https://img.shields.io/github/tag-date/GMLC-TDC/HELICS.svg https://img.shields.io/badge/License-BSD-blue.svg

This is the documentation for the Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS). HELICS is an open-source cyber-physical-energy co-simulation framework for energy systems, with a strong tie to the electric power system. Although, HELICS was designed to support very-large-scale (100,000+ federates) co-simulations with off-the-shelf power-system, communication, market, and end-use tools; it has been built to provide a general-purpose, modular, highly-scalable co-simulation framework that runs cross-platform (Linux, Windows, and Mac OS X) and supports both event driven and time series simulation. It provides users a high-performance way for multiple individual simulation model “federates” from various domains to interact during execution–exchanging data as time advances–and create a larger co-simulation “federation” able to capture rich interactions. Written in modern C++ (C++14), HELICS provides a rich set of APIs for other languages including Python, C, Java, and MATLAB, and has native support within a growing number of energy simulation tools.

Brief History: HELICS began as the core software development of the Grid Modernization Laboratory Consortium (GMLC) project on integrated Transmission-Distribution-Communication simulation (TDC, GMLC project 1.4.15) supported by the U.S. Department of Energy’s Offices of Electricity Delivery and Energy Reliability (OE) and Energy Efficiency and Renewable Energy (EERE). As such, its first use cases center around modern electric power systems, though it can be used for co-simulation in other domains. HELICS’s layered, high-performance, co-simulation framework builds on the collective experience of multiple national labs.

Motivation: Energy systems and their associated information and communication technology systems are becoming increasingly intertwined. As a result, effectively designing, analyzing, and implementing modern energy systems increasingly relies on advanced modeling that simultaneously captures both the cyber and physical domains in combined simulations. It is designed to increase scalability and portability in modeling advanced features of highly integrated power system and cyber-physical energy systems.