Teitl: Multi-objective Operation Optimization of an Electrical Distribution Network with Soft Open Point

Dyfyniad
Qi Q, Wu J, Long C (2017). Multi-objective Operation Optimization of an Electrical Distribution Network with Soft Open Point. Cardiff University. http://doi.org/10.17035/d.2017.0041041452


Hawliau Mynediad: Gall data fod ar gael yn rhad ac am ddim yn amodol ar briodoli
Dull Mynediad: I anfon cais i gael y data hwn, ebostiwch opendata@caerdydd.ac.uk

Crewyr y Set Ddata o Brifysgol Caerdydd

Manylion y Set Ddata
Cyhoeddwr: Cardiff University
Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2017
Fformat y data: .docx, .xlsx
Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit
Nifer y ffeiliau yn y set ddata: 2
DOI: 10.17035/d.2017.0041041452

Disgrifiad

Soft Open Point (SOP) is a distribution-level power electronic device with the capability of real-time and accurate active and reactive power flow control. With the increasing amount of distributed generation (DG) integrated into electrical distribution networks, various operational problems, such as excessive power losses, over-voltage and thermal overloading issues become gradually remarkable. Using SOP is an innovative approach for power flow and voltage controls, as well as to accommodate large DG penetrations. The performance evaluation model of SOP in multi-objective operation optimization of a distribution network is developed in MATLAB, and applied to a modified 69-bus benchmark test system.

This dataset contains details of the test network (topology, load, locations of SOP and DG, etc). It also contains the Pareto optimal solutions of the network operation, and the corresponding SOP optimal set-points, with DG penetration increases from 0 to 200% in the network.

Research results based upon these data are published at https://doi.org/10.1016/j.apenergy.2017.09.075



Prosiectau Cysylltiedig
Flexis East (01.07.2015 - 28.02.2021)
Angle DC project (01.08.2016 - 31.12.2021)

Diweddarwyd y tro diwethaf ar 2019-23-07 am 11:12