This paper introduces a novel hybrid meta-heuristic approach based gradient method combined with
Genetic Algorithm (GA) for solving the Unit Commitment problem (UCP). The Unit commitment in
power system is a scheduling operation of a set of production units to ensure better operational
scheduling based on expected consumption data over a period of time. The UCP was formulated as a
constrained nonlinear optimization problem designed to reduce the production cost during a definite
period while satisfying the desired constraints. Therefore, various meta-heuristic and deterministic
techniques has introduced to solve the UPC. However, there is no optimal approach to deal with UCP.
Furthermore, the accuracy and performance of the proposed approach were applied to IEEE 14 bus test
system and compared to other optimization methods. The proposed approach provides an accurate and
robust results and statistically significant in solving UCP.

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