Smart Grid

Distribution grids are experiencing a massive penetration of fluctuating distributed energy resources (DERs). As a result, the real-time efficient and secure operation of distribution grids becomes a paramount problem. While installing smart sensors and enhancing communication infrastructure improves grid observability, it is computationally impossible for the distribution system operator (DSO) to optimize setpoints of millions of DER units.

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The dataset is supplementary material for the research article 'Techno-economic assessment of grid-level battery energy storage supporting distributed photovoltaic power' published in IEEE Access in October 2021. The dataset corresponds to the annual timeseries at 1-minute resolution (525,600 steps) of the per-unit profiles used for the electric load and the per-unit power output of 8 PV systems.

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630 Views

Clean energy resources, like wind, have a stochastic nature, which involves uncertainties in the power system. Introducing energy storage systems (ESS) to the network can compensate for the uncertainty in wind plant output and allow the plant to participate in ancillary service markets. Advance in compressed air energy storage system (CAES) technologies and their fast response make them suitable for ancillary services.

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194 Views

These measurements were taken at the point of common coupling using the power quality analyzer PQ-Box 200, where about 30 EV chargers are installed and exploited by the utility. For this reason, this data set only considers the charging behavior of the vehicles employed by the enterprise, namely the Renault Kangoo ZE and Renault Zoe. The period under consideration starts on 5.11.2018 and ends on 07.01.2020. Because of the large amount of data, values with a time interval of 10mins are extracted and used in this data set.

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1765 Views

This is the simulated post fault voltage magnitude transient data from the IEEE 118-bus system. The data is collected from the TSAT software (DSATool). This transient data is used to mimic the PMU voltage measurements. This file has three folders. The first folder 'Train_Test' has the training and testing data. The dimension of the training data 'Pro2_train_v.pkl' and testing data 'Pro2_test_v.pkl' are (8000x25x20) and (2000x25x20), respectively. Here the number of training and testing samples is 8000 (4000 stable, 4000 unstable) and 2000 (1000 stable and 1000 unstable).

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347 Views

In our study, datasets of two simulators, namely phasor-based simulator and hybrid-type simulator are used. In the hybrid environment, first, the outputs of the phasor-based simulator are converted to instantaneous waveforms, then based on instruction, distortions and noises are added (superimposed) to these waveforms, and finally, the distorted waveforms are fed to the detailed model of PMUs simulated in EMT domain. Outputs of both simulators can be found in the submitted file.

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477 Views

This file contains one-year measurements of demand (average 11 kWh/day), Electric vehicle charging (3 kW rating), and PV generation (3.3 kWp) for a household in London, UK. 

This dataset is associated with the following paper: 

A. A. R. Mohamed, R. J. Best, X. A. Liu and D. J. Morrow, "A Comprehensive Robust Techno-Economic Analysis and Sizing Tool for the Small-Scale PV and BESS," in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2021.3107103.

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1940 Views

We welcome any use of this openData package. For any questions or inquiries please get in touch with filip.milojkovic .at. beenera.de

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1631 Views

 This dataset is in support of my 2 research papers ' '.

Preprint 

  • Part I :  
  • Part II : 

Related Claim : Novel ß Non-Linear Theory,  Novel ß Solar Boost Converter and Novel ß Power Boost DC-DC Converter  in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller' 

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1407 Views

The IEEE 24 bus system is modelled in Digsilent’s Power factory, and normal operating data points are generated under quasi dynamic simulation and N-2 contingencies.  An optimization problem to generate false data injection attack vectors are then modelled using MATLAB. This data contains normal, contingency and attack data points for the necessary variables in a power network. The attack data has 5 parts, with each part generated by a different type of attack.

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844 Views

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