Title: Decomposition method for solution of a multi-area power dispatch problem

Authors: Senthil Krishnamurthy; Raynitchka Tzoneva

Addresses: Center for Substation, Automation and Energy Management Systems (CSAEMS), Department of Electrical, Electronic and Computer Engineering, Cape Peninsula University of Technology, P.O. Box 1906, Symphony Way Bellville 7530, South Africa ' Center for Substation, Automation and Energy Management Systems (CSAEMS), Department of Electrical, Electronic and Computer Engineering, Cape Peninsula University of Technology, P.O. Box 1906, Symphony Way Bellville 7530, South Africa

Abstract: Large interconnected power systems are decomposed into areas or zones based on the size of the electric power system, network topology and geographical location. Multi-area economic emission dispatch (MAEED) problem is an optimisation task in power system operation for allocating amount of generation to the committed units within these areas. Its objective is to minimise the fuel cost subject to the power balance, generators limits, transmission lines, and tie-line constraints. The solution of the MAEED problem in the conditions of deregulation is difficult, due to the model size, nonlinearity, and interconnections. It determines the amount of power that can be economically generated in the areas and transferred to other areas if it is needed without violating tie-line capacity constraints. High-performance computing (HPC) gives possibilities for reduction of the problem complexity and the time for calculation by the use of parallel processing for running advanced application programs efficiently, reliably and quickly.

Keywords: multi-area dispatch problem; Lagrange’s decomposition method; electricity market; high performance computing; parallel computing.

DOI: 10.1504/IJPEC.2019.098618

International Journal of Power and Energy Conversion, 2019 Vol.10 No.2, pp.148 - 170

Received: 13 Jun 2016
Accepted: 02 Feb 2017
Published online: 29 Mar 2019 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article