Rule-Based Optimized Service Restoration (RBOSR)

[lmramirea1]

Name

Rule-Based Optimized Service Restoration (RBOSR)

Screenshots

Focus Topic

Deploy the service restoration of distribution grids

Primary Purpose

restoration of distribution grids

Description

The service restoration aims at reconfiguring the electrical network after the occurrence of faults, in which the protection system coordinates the tripping of circuit breakers upstream and downstream of the fault location.
Distribution networks are managed with radial scheme; therefore, the nodes downstream of the faulted zone become de-energized and they have to be re-powered from an alternative source.
The algorithm present in this repository considers, among the de-energized nodes, the one with highest priority as target for the restoration and identifies which is the most suitable primary substation to energize it, by closing the normally open bus-tie unit.
The restoration schemes from each substation toward the target node are evaluated with a state estimation approach (which also allows to check the voltage, thermal and radiality constraints); the algorithm considers total power losses and utilization of the most consumed electrical lines as objectives included in the Multi-Critera Decision Making (MCDM) approach, set by the users.
Once the selected tie unit successfully closes, the process repeats until all the de-energized loads are restored or the constraints are violated. The algorithm is able to manages multiple/cascade faults in active distribution grids (with Distributed Energy Resources).

Mathematical Description

No response

Website

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

Documentation

https://git.rwth-aachen.de/acs/public/automation/rbosr

Source

https://git.rwth-aachen.de/acs/public/automation/rbosr.git

Year

2019

Institution

Institute for Automation of Complex Power Systems, EONERC

Funding Source

No response

Publications

4

Publication List

1. A. Dognini, A. Sadu, A. Angioni, F. Ponci, A. Monti, “Rule-Based Optimization Algorithm for Service Restoration of Active Distribution Grids” (currently under revision)
2. C. Muscas, S. Sulis, A. Angioni, F. Ponci, and A. Monti, “Impact of Different Uncertainty Sources on a Three-Phase State Estimator for Distribution Networks”, IEEE Transactions on Instrumentation and Measurement, vol. 63, no. 9, pp. 2200-2209, Sep. 2014.
3. A. Angioni, A. Kulmala, D. D. Giustina, M. Mirz, A. Mutanen, A. Ded,F. Ponci, L. Shengye, G. Massa, S. Repo, and A. Monti, “Design and implementation of a substation automation unit”, IEEE Transactions on Power Delivery, vol. 32, no. 2, pp. 1133-1142, April 2017.
4. P. Jamborsalamati, A. Sadu, F. Ponci, A. Monti and M. J. Hossain,”Improvement of supply restoration in multi-spare-feeder active distri-bution grids using IEC 61850”, in 2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Dec 2017, pp. 1-

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

Reconfiguring the electrical network after the occurrence of faults, in which the protection system coordinates the tripping of circuit breakers upstream and downstream of the fault location. Distribution networks are managed with radial scheme; therefore, the nodes downstream of the faulted zone become de-energized and they have to be re-powered from an alternative source.

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?

Seconds

What is the typical temporal resolution supported by the tool?

Seconds

What is the largest temporal scope supported by the tool?

Hours

What is the typical temporal scope supported by the tool?

Minutes

What is the highest spatial resolution supported by the tool?

Region

What is the typical spatial resolution supported by the tool?

Region

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

xlsx

Input Data Description

No response

Output Data Format

csv

Output Data Description

No response

Contact Details

Alberto Dognini adognini@eonerc.rwth-aachen.de Abhinav Sadu asadu@eonerc.rwth-aachen.de

Interface, Integration, and Linkage

No response