Power and Energy
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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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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The Excel file contains two pages of ambient temperature and relative humidity collected using a DHT11 sensor at one canal site (CW) and 5 land sites (L1 through L5). The data has been collected for 30 days of May 2023 at the Rakh branch canal in Faisalabad, Pakistan. The Excel file has two pages with a page labelled Tamb dedicated to ambient temperature and RH dedicated to relative humidity. Each row corresponds to data collected by different sensors contemporarily and measurements have been taken once every 10 minutes.
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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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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 collected by SGCC smart meters and originates from the multi-meter integration demonstration area in China, which includes daily electricity and water usage data. The dataset contains three files in .xlsx format. They are the daily electricity and water consumption data of 50 users for one year, the daily electricity and water consumption data of 40 users for 100 days, and the daily electricity and water consumption data of 56 users for 80 days. File size is 570kb (compressed).
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Min-Max formulation is a common fairness mechanic utilized in communication system. It works by minimizing the worst case scenario amongst all the nodes in a system, For transmission and energy storage planning applications, we can utilize this fairness mechanic to bolster equity amongst the nodes in our system. For the project this is being utilized for, min-max formulation is used to minimize the worstcase load shedding across each bus in our system. The worst case in this situation being the highest load shedding cost, based on the value of lost load (VoLL) assigned to each bus.
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The Integrated Energy Management and Forecasting Dataset is a comprehensive data collection specifically designed for advanced algorithmic modeling in energy management. It combines two distinct yet complementary datasets - the Energy Forecasting Data and the Energy Grid Status Data - each tailored for different but related purposes in the energy sector.
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Each sheet in this document meticulously details the electrical parameters of the grounding networks. Among all these parameters, touch voltage stands out as the most critical factor to consider in each evaluated conductor configuration.
The determination of these physical configurations is based on meticulous measurement of the distances between conductors on one side of the grid. It's important to note that in this context, square grids are being employed for grounding, which implies a specific arrangement of conductors.
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