Power system state estimation with extended power formulations. Example on 2 systems with the IEEE European Low Voltage Time Series.
Contributors:Todorovski M., Rajicic D.
Distribution of Network Losses Between Generator-Load Pairs in Distribution Networks With Distributed Generators.
Contributors:Hayes B.P., Thakur S., Breslin J.G.
This contains the data from our paper submitted to IJEPES:
"Co-simulation of Electricity Distribution Networks and Peer to Peer Energy
B. P. Hayes, S. Thakur, J. G. Breslin
The network data is taken from the IEEE European LV Test Feeder
See here for details: http://sites.ieee.org/pes-testfeeders/resources/
"demand_profiles" contain the demand profiles for each individual residential user connected at LV
"EV_profiles" contains the electric vehicle demands for each user
"PV_profiles" contains the photovoltaic panel generation profiles for each user
"transactions_final" contains a record of the P2P trading platform buy/sell transactions,
after solving the distributed double auction described in the paper.
Contributors:Eduardo Carrano, Mateus Costa, Martin Ravetti, Rodney Rezende Saldanha
Contributors:Jian Wang, Xiaofu Xiong, Jian Hu
Parameters of LGJ 400/35 type ACSR conductor;
Example of safety overload capacity of the transmission line;
The curve of temperature rise test for a current transformer;
Conductor temperature rise curves of LGJ 400/35 due to a step current of 0–500–900 A;
Example of bottleneck current of the transmission channel;
Weather conditions of a district on Aug. 22, 2017;
Dynamic thermal rating and actual load curves on Aug. 22, 2017
Contributors:Mulugeta Weldezgina Asres, Awet Girmay, Gebremichael Tesfamariam, Christian Camarda
The dataset composes simulated aggregate Loads at low voltage distribution substation feeder.
The data contains Pagg, Qagg, ZIP model of Pagg, ZIP model of Qagg, Voltage, Weight (Load Composition) and other derived parameters.
The dataset was prepared as follows:
1. Load composition [0, 100%] among thirteen dominant load categories (at LV) using Monte-Carlo Simulation was generated.
2. Aggregate load at LV substantiation was prepared as the weighted sum of the generated load compositions and ZIP model of the contributing load categories.
Contributors:Meltem Peker, Ayse Kocaman, Bahar Kara
This data is used in “A Two-Stage Stochastic Programming Approach for Reliability Constrained Power System Expansion Planning” article by Peker, M., Kocaman, A. S., and Kara, B. Y. (2018).
(Peker, M., Kocaman, A. S., & Kara, B. Y. (2018). A two-stage stochastic programming approach for reliability constrained power system expansion planning. International Journal of Electrical Power & Energy Systems, 103, 458-469.)
We present an open data set for the Turkish 400-kV transmission network that includes 116 nodes and 190 transmission lines, which is referred to as "Reduced Turkish Power System". Coordinates, hourly loads and installed capacities of nodes, and characteristics of existing transmission lines for this system are presented. Suitable locations for expansion plans are also provided.
Turkish power system has 970 counties, which are considered as demand points, and 997 substations and 1746 transmission lines which are comprised of 400-kV, 220-kV, 154-kV and 66-kV voltage levels. We focus on the backbone of the Turkish transmission system that consists of 400-kV substations and 400-kV transmission lines. We observe that 116 counties out of 970 have at least one 400-kV substation. We implement the power-island model explained in (Singh et al., 2014) to aggregate the hourly demand profiles and installed capacities of all counties to these 116 substation nodes.
Counties, power-island assignments, substation nodes, and transmission lines between the 400-kV substation nodes are presented in Reduced Turkish Power System.png. The data is presented in tables in Microsoft Excel (.xlsl) and shapefiles are also provided to regenerate the figure. Data are obtained from online databases, which are publicly available, and the references are also presented.
Contributors:Yu J., Ma M., Li W., Kamel S., Guo L., Song X.
The file "Data_IEEE9_NGS6_DHS7" includes the connection figure and network parameters of case 1, and case 1 is composed of IEEE 9-node system, NGS 6-node system and 7-node district heating system. The file "Data_IEEE24_NGS20_DHS14" includes the connection figure and network parameters of case 2, and case 2 is composed of IEEE 24-node system, NGS 20-node system and 14-node district heating system.
Contributors:Rodrigues Y.R., Zambroni de Souza A.C., Ribeiro P.F.
Covers new trends in electric systems, including electric vehicles and storage devices.