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    Economic dispatch problem including renewable energy using multiple methods
    (Altınbaş Üniversitesi, 2018) Alfarras, Almuatasim M.; Uçan, Osman Nuri; Bayat, Oğuz
    The successful design and operation of any power system is highly dependent on the economic load dispatch problem, therefore it can be considered as a major factor for any power system. Economic load dispatch (ELD) problem is the short-term determination of the best combination of generation while satisfying the demanded load with minimum cost under the system constrains. Generally, the cost function presented as quadratic function and solved by using different methods. For the past ten years, in order to solve (ELD) problems and to get the best possible results, many new methods have been developed such as meta-heuristic algorithms which are classified into two major classes (swarm intelligence and evolutionary) techniques. In this paper, two (swarm intelligence) optimization techniques are used, namely salp swarm algorithm (SSA) and grasshopper optimization algorithm (GOA) which are relatively new techniques. The (ELD) analytical method, simplified version of the analytical method and optimization techniques (SSA, GOA) applied to a microgrid considering the renewable energy sources (solar and wind) for different generation combination scenarios. At last, a comparison presented between the used methods in order to show the best result possible between them, in addition the result will show the effect of the renewable energy on the total generation cost. The proposed methods (analytical method, the simplified version of the analytical method and the salp swarm algorithm (SSA)) the same results for total average cost approximately (7292.64 $/h) but the execution time was better with the simplified version of the analytical method with time of (0.373 seconds), while the grasshopper optimization algorithm (GOA) showed a higher total cost average approximately (7292.94 $/h).