Abstract
Unit commitment (UC) is one of the nonlinear optimization problems with linear and nonlinear constraints. In this work, radial movement optimization (RMO) is employed to solve the optimal thermal unit commitment problem. Radial movement optimization is a novel global optimization technique used to solve the complex optimization problems. In this work, 10, 20, 40, 60, 80 and 100 unit systems are considered for implementing the RMO technique in the cost estimation of thermal unit commitment problems. The simulation test results show economic results and good convergence, while satisfying the constraints of the objective function. The results also show that the RMO algorithm outperforms the other algorithms like GA, PSO, DE etc. with minimum cost.
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