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To optimize generation scheduling of four diesel generators in a planned microgrid, we applied General Algebraic Modeling System (GAMS) and Genetic Algorithm (GA). The aim is to minimize power generation costs which depend on high and volatile diesel prices, and consequently to reduce emissions. A mixed-integer quadratic constrained model for the optimal scheduling was formulated and solved by CPLEX...
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