Abstract:Adaptive Quantum Genetic Algorithm(AQGA) is presented to solve unit commitment problems. A mathematic model is constructed with the objective function of minimizing the fuel cost. Meanwhile, constraints are considered including power balance constraint, capacity constraint of units, up and down generation constraints of units and minimum turn on and turn off constraint. In AQGA, a Q-bit individual is defined to represent for unit commitment states. An adaptive rotating angle is proposed according to the fitness and iteration.The individual is driven toward better solutions by this adaptive rotating operator. The algorithm is simulated and analyzed by Matlab software. It is shown that AQGA has the features of good convergence and adaptable ability. It is feasible and effective for solving the unit commitment problem.