Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Maximising penetration of wind generation in existing distribution networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Liew, S.N. ; Dept. of Electr. Eng. & Electron., Univ. of Manchester Inst. of Sci. & Technol., UK ; Strbac, G.

Connections of embedded wind generation (EWG) in the rural distribution system are susceptible to voltage rise. Current operating policy, based on the passive operation of the distribution network, limits the capacity of connected generation based on extreme conditions of minimum load and maximum generation. It is demonstrated that an active distribution network will allow considerably greater penetration of EWG. Three alternative control strategies are evaluated to increase the penetration level of EWG: EWG generation curtailment during low demand; reactive power management using a reactive compensator; and area-based OLTC co-ordinated voltage control. The application of these schemes is illustrated on a rurally connected 11 kV wind farm in a realistic 265-node generic distribution system model. Advanced optimal power flow is used to quantify the benefits of alternative control schemes for various EWG penetration levels. The impact of these schemes on network losses is also assessed

Published in:

Generation, Transmission and Distribution, IEE Proceedings-  (Volume:149 ,  Issue: 3 )