Power and Energy
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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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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645 Views
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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This dataset proposes a new method of modelling dynamic loads based on instantaneous p-q theory, to be employed in large power system networks in a digital real time environment. In order to decrease the computational burden associated to the dynamic load modelling, a p-q- theory-based approach for load modelling is proposed in this dataset. This approach is based on the well-known p-q- instantaneous theory developed for power electronics converters, and it consts only of linear controllers and of a minimal usage of control loops, reducing the required computational power.
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This dataset contains scenarios for the assessment of Flexible Distributed Energy Resources (DERs) in new districts in Spain. It contains energy performance indicators, a summary of thermal and electricity generators and energy carrier tariffs
The following Tables are provided:
Table I References for energy performance indicators
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This dataset has been compiled using publicly available data about the substation loads, generation capacities, transmission line lengths and voltages of the Bangladesh Power Grid, incorporating typical electrical parameters for power factor, transmission line impedance, generator impedances etc. It is tailored for power flow studies as a test case within the PSSE software. However, the dataset can be easily converted to a format compatible with alternative power system analysis software.
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In order to study the role and mechanism of the Cu surface during the generation of SF6 decomposition products inside GIS, we established the interfacial reaction model of low-fluorine sulfides with oxygen on the Cu(111) surface. The influence of the Cu metal on the reaction is analyzed from the perspective of reaction kinetics. Thermodynamic properties and structural files of the reactions can be found in Supplementary Materials. We have supplemented the thermodynamic properties of reactions, and also how we calculated them in Supporting information file.
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