pycity_scheduling

[lmramirea1]

Name

pycity_scheduling

Screenshots

Focus Topic

Software tool for the day-ahead optimization of local multi-energy systems

Primary Purpose

Framework for the effective development, testing, and assessment of optimization-based power scheduling algorithms for local multi-energy systems in city districts.

Description

Python package pycity_scheduling is a framework for the effective development, testing, and assessment of optimization-based power scheduling algorithms for local multi-energy systems in city districts. The framework primarily targets the elaboration of coordination concepts that can efficiently solve the power dispatch problem on the city district level. Its target users are researchers in the field of smart grid applications and the deployment of operational flexibility for local energy systems.

Mathematical Description

No response

Website

https://www.fein-aachen.org/en/projects/pycity_scheduling/

Documentation

https://acs.pages.rwth-aachen.de/public/simulation/pycity_scheduling/

Source

https://git.rwth-aachen.de/acs/public/simulation/pycity_scheduling.git

Year

2020

Institution

Institute for Automation of Complex Power Systems (ACS)

Funding Source

No response

Publications

1

Publication List

1. S. Schwarz, S. A. Uerlich, A. Monti, “pycity_scheduling - A Python framework for the development and assessment of optimisation-based power scheduling algorithms for multi-energy systems in city districts” (under review)

Use Cases

No response

Infrastructure Sector

• Atmospheric dispersion
• Agriculture
• Biomass
• Buildings
• Communications
• Cooling
• Ecosystems
• Electric
• District heating
• Forestry
• Health
• Hydrogen
• Individual heating
• Land use
• Liquid fuels
• Natural Gas
• Transportation
• Water

Represented Behavior

• Earth Systems
• Employment
• Built Infrastructure
• Financial
• Macro-economy
• Micro-economy
• Policy
• Social

Modeling Paradigm

• Analytics
• Data
• Discrete Simulation
• Dynamic Simulation
• Equilibrium
• Engineering/Design
• Optimization
• Visualization

Capabilities

1. Development, testing, and assessment of optimization-based power scheduling algorithms for local multi-energy systems in city districts
2. Elaboration of coordination concepts that can efficiently solve the power dispatch problem on the city district level

Programming Language

• C – ISO/IEC 9899
• C++ (C plus plus) – ISO/IEC 14882
• C# (C sharp) – ISO/IEC 23270
• Delphi
• GAMS (General Algebraic Modeling System)
• Go
• Haskell
• Java
• JavaScript(Scripting language)
• Julia
• Kotlin
• LabVIEW
• Lua
• MATLAB
• Modelica
• Nim
• Object Pascal
• Octave
• Pascal Script
• Python
• R
• Rust
• Simulink
• Swift (Apple programming language)
• WebAssembly
• Zig

Required Dependencies

No response

What is the software tool's license?

None

Operating System Support

• Windows
• Mac OSX
• Linux
• iOS
• Android

User Interface

• Programmatic
• Command line
• Web based
• Graphical user
• Menu driven
• Form based
• Natural language

Parallel Computing Paradigm

• Multi-threaded computing
• Multi-core computing
• Distributed computing
• Cluster computing
• Massively parallel computing
• Grid computing
• Reconfigurable computing with field-programmable gate arrays (FPGA)
• General-purpose computing on graphics processing units
• Application-specific integrated circuits
• Vector processors

What is the highest temporal resolution supported by the tool?

Not Applicable

What is the typical temporal resolution supported by the tool?

None

What is the largest temporal scope supported by the tool?

Not Applicable

What is the typical temporal scope supported by the tool?

None

What is the highest spatial resolution supported by the tool?

Not Applicable

What is the typical spatial resolution supported by the tool?

None

What is the largest spatial scope supported by the tool?

Not Applicable

What is the typical spatial scope supported by the tool?

None

Input Data Format

NA

Input Data Description

No response

Output Data Format

CSV

Output Data Description

No response

Contact Details

Sebastian Schwarz, M.Sc. sebastian.schwarz@eonerc.rwth-aachen.de Sebastian Alexander Uerlich, B.Sc. sebastian.uerlich@rwth-aachen.de Univ.-Prof. Antonello Monti, Ph.D. post_acs@eonerc.rwth-aachen.de

Interface, Integration, and Linkage

No response