Published 2008 | Version v1
Book

Usage of direct search methods in predictive control of ancillary services

  • 1. Tomas Bata Univ., Zlin (Czech Republic). Centre of Applied Cybernetics, Faculty of Applied Informatics

Description

Most European transmission systems are interconnected to ensure the reliability and accessibility of electric power supply. Transmission system operators (TSOs) are responsible for ensuring that contracted cross-border supplies are available and that deficits are accommodated. TSOs typically buy ancillary services in advance for use in periods of deficit. This paper described a predictive control approach for ancillary services in interconnected electricity systems. The model was designed to predict the difference between contracted and actual cross-border transmission of electric power. The power sources were considered as individual power plants. The receding horizon principle was applied in order to compute the time sequences of individual sources for longer prediction periods using only the initial part of the sequences. Coverage included positive tertiary regulation; negative tertiary regulation; quickstart; dispatch reserve; and energy bought from other countries. Inputs were converted into binary values for the optimization algorithm. The technical properties of individual sources were used as fundamental constraints. The optimization algorithm was able to determine optimal sequences of ancillary services within a prediction horizon of 6 hours. 6 refs., 1 tab., 6 figs.

Additional details

Identifiers

Publishing Information

Publisher
Acta Press
Imprint Place
Calgary, AB (Canada)
ISBN
978-0-88986-761-1
Imprint Title
Proceedings of the 2. IASTED African conference on power and energy systems (AfricaPES 2008)
Imprint Pagination
230 p.
Journal Page Range
p. 1-6

Conference

Title
2. IASTED African conference on power and energy systems
Acronym
AfricaPES 2008
Dates
8-10 Sep 2008
Place
Gaborone (Botswana)

INIS

Country of Publication
Canada
Country of Input or Organization
Canada
INIS RN
41041423
Subject category
S24: POWER TRANSMISSION AND DISTRIBUTION; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; CONTROL SYSTEMS; CZECH REPUBLIC; INTERCONNECTED POWER SYSTEMS; MARKET; OPTIMIZATION; PREDICTION EQUATIONS; SUPPLY AND DEMAND
Descriptors DEC
DEVELOPING COUNTRIES; EASTERN EUROPE; ENERGY SYSTEMS; EQUATIONS; EUROPE; MATHEMATICAL LOGIC; POWER SYSTEMS

Optional Information

Notes
Imprint:PDF 602-085 from track on modelling; Available for purchase online, for viewing with Adobe Reader