SWS Academic Research eLibraryEarth & Planetary Sciences

Scholarly record

CONTROL ALGORITHM FOR DISTRIBUTION OF ELECTRICAL ENERGY IN A HYBRID POWER SYSTEM

Adrian Mugur Simionescu

First published: 2011-06-20https://doi.org/10.5593/sgem2011/s18.106View metrics

Abstract

Here we try to find a compromise way of controlling a continuous variable power system by adopting a hybrid architecture in which the renewable energy sources are coupled with the classic power grid. In such an architecture, a big issue is the control algorithm for management of the energy sources, which had to be designed in such a way that the final consumer remain powered on at all times. We proposed a control algorithm which compares the input and output powers, if the input power is lower than the output, then the batteries are charged, a nd in the reverse situation the power sources are coupled gradually until the load demand is satisfied.

Publication Impact Profile

PlumX
  • Captures
  • Mendeley - Readers: 1

Publication details

Title
CONTROL ALGORITHM FOR DISTRIBUTION OF ELECTRICAL ENERGY IN A HYBRID POWER SYSTEM
Authors
Adrian Mugur Simionescu
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2011 11th International Multidisciplinary Scientific GeoConference
Publisher
Stef92 Technology
Year
2011
Pages
Not available yet
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
Keywords
References7
  1. Diaf S. & Notton G. & Belhamel M. & Haddadi M. & Louche A. Design and techno-economical optimization for hy brid PV/wind system under various meteorological conditions, Applied Energy, vol. 85, pp 968-987, 2008.

  2. Yaow-Ming C. & Yuan-Chuan L. & Shih-Chieh H. & Chung-Sheng C. Multi-Input Inverter for Grid-Connected Hybrid PV/Wi nd Power System, Power Electronics IEEE Transactions, vol. 22/issue 3, pp 1070-1077, 2007.

  3. Dalton G. J. & Lockington D. A. & Bald ock T. E. Feasibility analysis of renewable energy supply options for a grid-connected large hotel, Renewable Energy, vol. 34, pp 955-964, 2009.

  4. Lazic L. & Pejanovic G. & Zivkovic M. Wind forecasts for wind power generation using the Eta model, Renewable Energy, vol. 35, pp 1236-1243, 2010.

  5. Louka P. & Galanis G. & Siebert N. & Kariniotakis G. & Katsafados P. & Pytharoulis I. & Kallos G. Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering, Journal of Wind Engineering and Industrial Aerodynamics, vol. 96, pp 2348-2362, 2008.

  6. Mellit A. & Pavan A. M. A 24-h forecas t of solar irradiance using artificial neural network: Application for performance pred iction of a grid-connected PV plant at Trieste, Italy, Solar Energy, vol. 84, pp 807-821, 2010.

  7. Monfared M. & Rastegar H. & Kojabadi H. M. A new strategy for wind speed forecasting using artificial intelligent methods, Renewable Energy, vol. 34, pp 845-848, 2009.

View or Download full articleAccess options
Full paper accessChoose SWS login, librarian support, or instant article download.

SWS access login

Login as SWS Scientific Committee

Authors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.

For librarian assistance: [email protected]

Purchase Instant Access

48-hour online accessComing soon
Online-only accessComing soon
Download the full article in PDF formatEUR 35
  • Article can be downloaded after successful payment.
  • Article may be used according to SWS library access terms.
  • Article cannot be redistributed.
Get full paper

Back to publication list