Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Engineering & Architecture
  3. School of Electrical and Electronic Engineering
  4. Electrical and Electronic Engineering Research Collection
  5. Optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics
 
  • Details
Options

Optimising Load Flexibility for the Day Ahead in Distribution Networks with Photovoltaics

Author(s)
Velasco, Jose Angel  
Rigoni, Valentin  
Soroudi, Alireza  
Keane, Andrew  
Amaris, Hortensia  
Uri
http://hdl.handle.net/10197/11173
Date Issued
2019-06-27
Date Available
2019-10-25T10:45:00Z
Abstract
In this paper a methodology is proposed to calculate the load demand flexibility that could be activated within the next 24-hours for solving the technical impacts of contingencies that may come up in an unbalanced low voltage distribution networks with high penetration of intermittent DG sources. The methodology is formulated within a Demand Response program environment via load shifting as flexibility enabler mechanism. To achieve that, a non-linear optimisation problem is formulated based on an unbalanced optimal power flow, which allows the determination of the load flexibility that each Demand Response customer could provide at the request of the Distribution System Operator. The demand as well as weather conditions are forecasted for the day ahead. The optimisation problem is solved in a sequence fashion, within a daily framework, splitting the whole problem in optimisation blocks. In each block, the flexible load demand is obtained and the load demand forecasting its updated for the upcoming blocks based on the changes in the scheduled load demand. The methodology is applied to a real distribution network with the load data received from the smart metering infrastructure. The results obtained show the strength of the methodology in solving the technical problems of the network under high unbalanced operation.
Sponsorship
Science Foundation Ireland
Other Sponsorship
Spanish Ministry of Economy and Competiveness
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 IEEE
Subjects

Load modeling

Reactive power

Optimization

Forecasting

Load management

Predictive models

Power cables

DOI
10.1109/ptc.2019.8810963
Web versions
https://attend.ieee.org/powertech-2019/
Language
English
Status of Item
Peer reviewed
Conference Details
The 13th IEEE PowerTech (POWERTech 2019), Milan, Italy, 24-27 June 2019
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

Paper_PowerTech (1).pdf

Size

549.94 KB

Format

Adobe PDF

Checksum (MD5)

84dadf1a5d1c4d35e8faafe5f5f69de4

Owning collection
Electrical and Electronic Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

For all queries please contact research.repository@ucd.ie.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement