This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted *IEEE Transactions on Power Systems*paper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.

- Categories:

This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted *IEEE Transactions on Power Systems*paper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.

- Categories:

This dataset contains daily maximum load data with the average demand, customer count and PV capacity at two substations Arkana and Muchea, Western Australia used in the accepted *IEEE Transactions on Power Systems*paper titled “The Use of Extreme Value Theory for Forecasting Long-Term Substation Maximum Electricity Demand” by Li and Jones (2019). The dataset spans from 01/01/2008 to 30/06/2022, part history (01/01/2008 to 16/09/2018) and part forecast (17/09/2018 to 30/06/2022). The dataset is beneficial to various research such as long-term load forecast.

- Categories:

The LCL filter design procedure presented here is similar to that presented in references [1] and [2]. Here, the procedure is presented in a step-by-step way and the simulation file is freely available on http://busarello.prof.ufsc.br/

[1] Teodorescu, R. ; Liserre, M. ; Rodriguez, P. . Grid Converters for Photovoltaic and Wind Power Systems. 2011, Wiley.

- Categories:

The DFT and FFT are used mainly to obtain the amplitude of a harmonic component from a periodic signal containing several harmonics. For instance, it is desired to know the 180 Hz harmonic amplitude from a signal. Then, the DFT and FFT are the best choices to do that.

- Categories:

It is often the case that the frequency response data of a system or a network is available and one wants to identify a linear equivalent from the frequency response data for time-domain simulations and other purposes. To this end, a variety of methods have been proposed, and the vector fitting (VF) method and the frequency-partitioning fitting (FpF) method are often used for electromagnetic transient (EMT) simulations of power systems.

- Categories:

This real-life current signal was acquired from a wind generator.

The nominal fundamental frequency of the system is 60 Hz.

The sampling rate is 7.680 kHz, which corresponds to 128 samples per fundamental cycle.

The magnitude is given in amperes (A). The length of the signal is approximately one hour (3640 s).

- Categories:

This dataset includes gathering 18-month raw PV data at time intervals of about 200 µs (5 kHz sampling). A post-processing 365-day day-by-day downsampled version, converted to 10 ms intervals (100 Hz sampling), is also included. The end results are two databases: 1. The original, raw, data, including both fast (short circuit, 200 µs) and slow (sweep, 2.5-3.9 s) information for 18 months. These show intervals of missing points, but are provided to allow potential users to reproduce any new work. 2.

For the PV_Data_Clean_1_year zip, there are 365 folders included organized by dates. Each folder contains a readme txt, summarizing the 10 ms short circuit currents and 2.5-3.9 s sweeps (short-circuit current, open-circuit voltage, and MPP voltage, current, and power extracted).

- Categories:

This DATASET serves as a contemporary benchmark data set for solving multiple (or all) real-valued solutions for the algebraic power flow problems. It contains a huge collection of real-valued power flow solutions (up to dozens of thousands for some cases) for five standard IEEE test cases, i.e. 14-bus, 30-bus, 39-bus, 57-bus, and 57-bus-modified. These solutions were obtained by the holomorphic embedding-based continuation method developed by Dr. Dan Wu at MIT and Dr. Bin Wang at TAMU in [1]. Further analysis of these numerous power flow solutions can be found here [2].

There are five folders. Each folder contains all solution sets of one test system, while each solution set is included in an MATLAB .mat file. Power flow data is also included in the corresponding MATLAB .m file.

- Categories: