Power and Energy
The three distribution systems provided in this dataset are based on the data provided in [1], and was developed in the line of research first reported in [2]. This dataset was used in Felipe's master thesis. The thesis developed a model that can operate a distribution system considering wildfire-prone climate conditions, with line investment options. In this work, we considered that part of the grid is vulnerable to the ignition of a wildfire, which can be influenced by the levels of power flows passing through the line segments within the region.
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The dataset contains ttwo columns, the first column represent the 'Time' data , while the second column represents the 'Current' data's. These figures are from a simulation of the 750 VDC traction system. These figures also show the train's high beginning current and used to study the DC traction system.
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The structure of the modified PJM 5-bus test system is illustrated in Fig.1, while the parameters can be found in this dataset. This system includes five generators, two wind farms (bus B and bus C) with the same forecast power output, one energy storage system (bus B), and three loads (bus B, bus C, and bus D) with the same level.
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765 Views
The Kirk circle is a simple and effective method for representing power graphs and visualizing their topology. In general, nodes (buses) in an electrical network are numbered with neighboring nodes assigned consecutive or closely proximal numbers. This allows for sequential mapping of these nodes in increasing order of their numerical labels to evenly spread points on a Kirk circle. In the Kirk circle, the edge connections (branches) between nodes are indicated by straight lines (chords) between the appropriate points on the circle.
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ER-SPG is a Matlab code for producing synthetic power graphs using well-known Erdos-Renyi Random Model. It scales power graphs and achieves connectivity in each scale by different approach, and accordingly connected graphs with average degree between 2 to 5 (normally between 2.3 to 3.1) can be produced by ER_SPG with the structures similar to power graphs. It also reorders the graph vertices to obtain consecutive numbering similar to power graphs. This algorithm is also provides locations of zero injection buses (ZIBs) as operational data of power graphs.
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# Datasets for stage 3
The datasets were collected from a software-based simulation environment simulating a small-scale IEC 61850-compliant substation with both the primary plant and the process bus.
The datasets consist of 148 attack scenarios, each scenario includes two benign behaviours (fault-free behaviours and emergency behaviours) and one type of malicious behaviour.
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Distribution and power transformers are essential components of any electricity network, hence electrical and mechanical safety of the transformer unit is among the highest concerns of electricity providers. Over the course of their operation, transformers face with a wide range of internal and external disturbances which may lead to a partial or full malfunction of the equipment. The service life and condition requirements for distribution and power transformers are now changed and utilities altered their maintenance policy from time-based to condition-based approach.
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The dataset includes on-state saturation voltage information for eight samples under four different test conditions. Each Excel file consists of two data columns: one for cycle numbers and the other for on-state saturation voltage. Although these data were collected during the power cycling test at the maximum junction temperature, the effect of temperature increase in the on-state voltage has been compensated. Namely, the provided on-state voltage has been unified to the corresponding to the respective 125°C or 150°C.
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Wireless power transfer (WPT) systems for electric vehicles (EVs) require wide-range voltage gains to satisfy battery charging requirements and coupling coefficient variations. However, existing solutions typically require additional DC-DC converters, or may suffer from discontinuous output voltage and hard switching. To solve these problems, this paper proposes a primary-side hybrid modulation method that can achieve wide-range voltage regulation and zero voltage switching (ZVS) simultaneously.
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The data is for time series optimal power flow analysis. It contains basic data (buses, gens, lines, loads...) to build the system, and also time series data of a peak load day and a off-peak day.
The folder "basic_case" contains data for building the system.
The folder "time series data" contains data for running time series optimal power flow.
The case is developed using the Python package "panda power".
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