Picture of DNA strand

Pioneering chemical biology & medicinal chemistry through Open Access research...

Strathprints makes available scholarly Open Access content by researchers in the Department of Pure & Applied Chemistry, based within the Faculty of Science.

Research here spans a wide range of topics from analytical chemistry to materials science, and from biological chemistry to theoretical chemistry. The specific work in chemical biology and medicinal chemistry, as an example, encompasses pioneering techniques in synthesis, bioinformatics, nucleic acid chemistry, amino acid chemistry, heterocyclic chemistry, biophysical chemistry and NMR spectroscopy.

Explore the Open Access research of the Department of Pure & Applied Chemistry. Or explore all of Strathclyde's Open Access research...

Assessment of the last-in-first out principle of access for managing the connection of distributed wind generators

Danzerl, D. and Gill, S. and Kockar, I. and Anaya-Lara, O. (2017) Assessment of the last-in-first out principle of access for managing the connection of distributed wind generators. In: 5th IET International Conference on Renewable Power Generation (RPG) 2016. IET, Stevenage. ISBN 9781785613005

Text (Danzerl-etal-RPG2016-Assessment-of-the-last-in-first-out-principle-of-access)
Accepted Author Manuscript

Download (360kB) | Preview


Recent projects in the UK have investigated different connection arrangements for managing distributed wind generators to maintain thermal limits and a number of principle of access for generators to the limited distribution network capacity have been investigated. However, principle of access to manage voltage limits have not received as much attention. This study aims to evaluate the current practice for connecting ‘non-firm’ distributed wind generators under both voltage and thermal constraint conditions. It addresses the issue by developing a representative model of a UK 11kV radial distribution feeder comprising a mix of urban and rural sections using time-step optimal power flow simulations. The results indicated that when the principle is applied under both network constraint conditions, it can lead to inefficient use of network capacities and reduced renewable energy yields.