Title :
Economic dispatch solution using different algorithms and softwares
Author :
Krishnamurthy, S. ; Tzoneva, R.
Author_Institution :
Center for Substation Autom. & Energy Manage. Syst., Cape Peninsula Univ. of Technol., Bellville, South Africa
Abstract :
This paper solves the Economic Dispatch (ED) problem using MATLAB, Power World Simulator (PWS) and RSCAD, the software environment of the Real Time Digital Simulator (RTDS). The solution for the real power of the generator is computed in all the three types of software environments for the criterion minimization of the operational (fuel) cost. Lagrange´s and Particle Swarm Optimization (PSO) algorithms are developed in MATLAB and Newton Raphson method in PWS and RSCAD software environments for solution of the economic dispatch problem. The IEEE eleven bus network given in [1], is considered as the case study in order to validate the results. It concludes that the economic dispatch problem solution using Lagrange´s algorithm in MATLAB software provides more reliable results in comparison to PWS and RTDS softwares.
Keywords :
Newton-Raphson method; cost reduction; particle swarm optimisation; power generation dispatch; power generation economics; power system CAD; ED problem; IEEE eleven bus network; Lagrange algorithm; Matlab software; Newton Raphson method; PSO; PWS software; Power World Simulator software; RSCAD software; RTDS; computer aided design; economic dispatch problem; generator power; operational cost minimization; particle swarm optimization; realtime digital simulator; software environments; Economics; Equations; Fuels; Generators; MATLAB; Mathematical model; Economic Dispatch Problem; Lagrange´s; MATLAB; Particle Swarm Optimisation Algorithm and Newton Raphson method; Power World Simulator; Real Time Digital Simulator;
Conference_Titel :
Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
Conference_Location :
Chennai
DOI :
10.1109/ICGCE.2013.6823525