Solution of Short-Term Hydrothermal Scheduling Problem Using Quasi-Reflected Symbiotic Organisms Search Algorithm Considering Multi-fuel Cost Characteristics of Thermal Generator

Hydrothermal scheduling is an important issue in the field of power system economics. The aim of the short-term hydrothermal scheduling is to optimize the hourly output of power generation for different hydrothermal units for certain intervals of time to minimize the total cost of generations. In this paper, quasi-reflected symbiotic organisms search is implemented for optimal scheduling of hydrothermal problems. In symbiotic organisms search, the word “symbiosis” defines the relationship between two different species. The relationships are mutualism, commensalism and parasitism, depending on which the algorithm works. Further, the quasi-reflected scheme is incorporated into symbiotic organisms search in order to improve the performance of the algorithm. To investigate the performance of quasi-reflected symbiotic organisms search algorithm, the algorithm is tested on three test systems. Along with this, some statistical tests have also been performed. The results obtained by the quasi-reflected symbiotic organisms search algorithm are compared with other recently proposed methods to establish its robustness.

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