Use of Modern Methods of Mathematical Programming for Scheduling Power Generating Systems

Igor N. Golovanov; Alexey L. Bodnya

doi:10.1615/JAutomatInfScien.v35.i1.20

Journal of Automation and Information Sciences

Éditeur en chef: Arkadiy A. Chikriy (open in a new tab)

Éditeur associés: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publication de 12 numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

Indexed in

Use of Modern Methods of Mathematical Programming for Scheduling Power Generating Systems

Volume 35, Numéro 1, 2003, 7 pages

DOI: 10.1615/JAutomatInfScien.v35.i1.20

Get access

Igor N. Golovanov
Institute of General Power Engineering of National Academy of Sciences of Ukraine, Kyiv, Ukraine

Alexey L. Bodnya
Institute of General Power Engineering of National Academy of Sciences of Ukraine, Kyiv, Ukraine

RÉSUMÉ

The paper suggests using method of linear programming for forming daily capacity schedule of power generating systems. Mathematical formulation of the problem is performed and mathematical models of operation for different types of power stations are given. Using developed tools, a practical, based on actual data, problem of ordering possible daily capacity schedule for power stations of Kyiv region is solved.

471 Vues d'articles 4 Téléchargements d'articles Métrique

471 VUES 4 TÉLÉCHARGEMENTS Google
Scholar CITATIONS

Articles avec un contenu similaire:

Optimal Control of the Body Thermostressed State under the Specified Stresses Journal of Automation and Information Sciences, Vol.38, 2006, issue 7
Ivan V. Sergienko, Vasiliy S. Deineka

Multistage Decision-Making Processes in Enterprise Management Journal of Automation and Information Sciences, Vol.31, 1999, issue 1-3
T. Vitkovskiy

The Inductive Approach in Mathematics Journal of Automation and Information Sciences, Vol.34, 2002, issue 4
Alexandra A. Vagis

MODELS AND KNOWLEDGE BASED METHODS FOR OPTIMAL OPERATION AND EXTENSION OF DISTRICT HEATING NETWORKS Energy and Environment, 1995, Vol.0, 1995, issue
P. A. Haldi, G. Sarlos, Y. B. Peng

Optimal Technological Structures Synthesis in Science Intensive Industries and Distribution of Resources for their Development. Part 1. Synthesis of Industry Optimal Structures under Given Amount of Technologies Journal of Automation and Information Sciences, Vol.32, 2000, issue 4
Alexander A. Negoda

Dernier numéro

Modeling of Configurations Formed when Using Microneedle Systems Gennadiy V. Sandrakov , Sergey I. Lyashko, Elena S. Bondar , Nataliya I. Lyashko , Vladimir V. Semenov Properties of Large Deviations of Empirical Estimates in a Stochastic Optimization Problem for a Homogeneous Random Field Pavel S. Knopov, Evgeniya J. Kasitskaya The Dynamics of One Arms Race Mathematical Model with a Delay Andrey V. Shatyrko, Denis Ya. Khusainov, Bedrik Puzha , Veronika Novotna Some Ways to Modeling Input Data for Information Search in the Library of Standards when Solving Semantics Problems Nadezhda K. Tymofijeva Method for Constructing Primitive Polynomials for Cryptographic Subsystems of Dependable Automated Systems Gennadiy N. Gulak Complete Asymptotics of Approximations by Certain Singular Integrals in Mathematical Modeling Konstantin N. Zhyhallo Index, Volume 52, 2020