Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact

Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Electrical Grid Stability Simulated Data Data Set
Download: Data Folder, Data Set Description

Abstract: The local stability analysis of the 4-node star system (electricity producer is in the center) implementing Decentral Smart Grid Control concept.

Data Set Characteristics:  


Number of Instances:




Attribute Characteristics:


Number of Attributes:


Date Donated


Associated Tasks:

Classification, Regression

Missing Values?


Number of Web Hits:



-- Creator and donor: Vadim Arzamasov (vadim.arzamasov '@',
Department of computer science,
Karlsruhe Institute of Technology;
Karlsruhe, 76131; Germany
-- Date: November, 2018

Data Set Information:

The analysis is performed for different sets of input values using the methodology similar to that described in [Schäfer, Benjamin, et al. 'Taming instabilities in power grid networks by decentralized control.' The European Physical Journal Special Topics 225.3 (2016): 569-582.]. Several input values are kept the same: averaging time: 2 s; coupling strength: 8 s^-2; damping: 0.1 s^-1

Attribute Information:

11 predictive attributes, 1 non-predictive(p1), 2 goal fields:
1. tau[x]: reaction time of participant (real from the range [0.5,10]s). Tau1 - the value for electricity producer.
2. p[x]: nominal power consumed(negative)/produced(positive)(real). For consumers from the range [-0.5,-2]s^-2; p1 = abs(p2 + p3 + p4)
3. g[x]: coefficient (gamma) proportional to price elasticity (real from the range [0.05,1]s^-1). g1 - the value for electricity producer.
4. stab: the maximal real part of the characteristic equation root (if positive - the system is linearly unstable)(real)
5. stabf: the stability label of the system (categorical: stable/unstable)

Relevant Papers:

Arzamasov, Vadim, Klemens Böhm, and Patrick Jochem. 'Towards Concise Models of Grid Stability.' Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2018 IEEE International Conference on. IEEE, 2018
(Section V-A)

Citation Request:

We thank Dr. Benjamin Schäfer for helping us with the initial version of the code used for simulations.

Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML