Investigating the Effects of Evolutionary Parametric Tuning for Static Economic Load Dispatch Problems
Asian Engineering Review, 2014, vol. 1, issue 2, 26-35
This paper investigates the effects of evolutionary parametric tuning in realizing optimal solutions for static economic load dispatch (SELD) problems in the electrical power industry. During evolutionary algorithm (EA) implementation, design parameters need to be carefully chosen because of their contributory influence on the success and overall performance of the EA. The paper considers instances of the SELD problem involving minimum/maximum generation limits and power (load) balance. Simulation results are provided for novel intelligent mutation approaches from this investigation, and compared with reported results for other recent alternate algorithms in literature on two benchmark cases involving 6 and 20 generating units, where they exhibited superior performances in terms of lowest cost and meeting customers’ demands.
Keywords: Economic load dispatch; Evolutionary algorithm; Fitness function; Optimization; Simulation; Smart mutation. (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:aoj:asenre:v:1:y:2014:i:2:p:26-35:id:729
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