Optimization And Comparison Of Economic Load Dispatch Problem With The Proposed Traditional Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 11
Abstract
The Economic Dispatch (ED) problem is widely used and constitutes a very important optimization task that must be undertaken on a daily basis in the operation of power systems. Economic dispatch is the short-term determination of the optimal output of a number of electricity generation facilities, to meet the system load, at the lowest possible cost, subject to transmission and operational constraints. So The main goal when dealing with Economic Dispatch tasks is to find the optimal schedule that produces the desired power outputs for all the generating units, and minimizes the total fuel cost, while satisfying some constraints. But another goal associated to the previous one, is to obtain the desired schedule as fast as possible. Generally economic dispatch is solved without accounting to transmission constraints, however, in deregulated power system environment Economic load dispatch (ELD) has the objective of generation allocation to the power generators such that the total fuel cost is minimized and all operating constraints are satisfied. A number of traditional methods are using for solving ED and other power system problems. During the last decade soft computing methods like PSO proposed, Evolutionary Strategy and GA method have been increasingly proposed for complex optimization problems. This paper proposes GAMS technique in which premature convergence is avoided by tuning the parameters for enhanced global and local search. This paper reviews and comparisons the performance of the PSO, GA and Evolutionary algorithm variants with proposed solver The General Algebraic Modeling System GAMS for economic load dispatch on single 40 units standard test system is included for validate the results.
Authors and Affiliations
Kirti Gupta, Devendra Dohre
Keywords
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