Open AccessIncreasing renewable penetration on islanded networks through active network management: a case study from Shetland
Author(s) -
Gill Simon,
Dolan Michael,
Emhemed Abdullah,
Kockar Ivana,
Barnacle Malcolm,
Ault Graham,
Mathieson Colin
Publication year - 2015
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2014.0216
Subject(s) - shetland , flexibility (engineering) , renewable energy , wind power , electric power system , software deployment , schedule , computer science , engineering , power (physics) , electrical engineering , oceanography , geology , statistics , physics , mathematics , quantum mechanics , operating system
The drive to reduce reliance on fossil fuel generation in meeting power system demand is encouraging network operators to develop new methods managing network capacity while maintaining stability and security. Challenges relating to network stability are particularly acute on islanded networks. The Northern Isles New Energy Solutions (NINES) project is implementing techniques to manage the power network on the Shetland Islands in the UK. Active network management (ANM) is used to monitor and control generation in real time, and flexible demand is scheduled to minimise the use of conventional generation by reducing wind curtailment and minimising system losses. The flexible demand has the ability to respond to frequency and support system stability. This study presents the development of two modelling techniques used in the design and deployment of NINES – an ‘envelope of stability wind generation’ and the use of dynamic optimal power flow to schedule flexible demand. A case study is presented which shows that an ANM scheme managing flexible demand has the potential to increase wind capacity connected on Shetland from the existing 4 MW to 16.1 MW. Demand flexibility is shown to be capable of contributing up to 16.6 GWh towards reducing conventional generation.