Title: Impact of Optimised Distributed Energy Resources on Local Grid Constraints

Sani Hassan A, Cipcigan LM, Jenkins N (2017). Impact of Optimised Distributed Energy Resources on Local Grid Constraints. Cardiff University. http://doi.org/10.17035/d.2017.0041953338

Access Rights: Data can be made freely available subject to attribution

Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Cardiff University Dataset Creators

Dataset Details

Publisher: Cardiff University

Date (year) of data becoming publicly available: 2017

Data format: .xlsx, .pdf

Estimated total storage size of dataset: Less than 100 megabytes

DOI : 10.17035/d.2017.0041953338

DOI URL: http://doi.org/10.17035/d.2017.0041953338


The impact of optimised distributed energy resources investment decisions in Distributed Energy Resources Customer Adoption Model (DER-CAM) were tested on the connecting network grid constraints. The test case study was a mid-rise apartment. Electricity demand data (weekdays, peak days and weekend days) for the mid-rise apartment used in the paper can be accessed from https://building-microgrid.lbl.gov/projects/how-access-der-cam . The output from the DER-CAM model is read by a MATLAB script and send to a text file for power flow analysis in NEPLAN software, NEPLAN is a power system analysis software (http://www.neplan.ch/). The output of the power flow analysis is plotted as voltage profiles (available as: voltage_profiles.xlsx) for three day-types (week, peak, weekend) each representing the 12 months of the year (24 × 12 = 288. Data points standings is available as: data_points.xlsx). Multiplying the data points by the three day-types gives a total of 864 data points for the power-flow in NEPLAN. The energy losses are plotted for the overall microgrid and is available as: energy_losses.xlsx). The microgrid network data is available as: microgrid_network.pdf.

Research results based upon these data are published at https://doi.org/10.1016/j.energy.2017.10.074

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Last updated on 2019-21-10 at 11:36