一种改进遗传算法在发电机组优化组合中的应用

Application of an Improved Genetic Algorithm in Unit Commitment

在研究遗传算法（GAS）的基础上，提出了一种改进遗传算法（IGA），并将其应用于发电机组的优化组合中。本文所提出的发电机组改进遗传算法具有快速搜索、易收敛和强鲁棒性的特点。最后，用IGA法确定一实际电力系统机组优化组合，结果证明该方法的有效性和应用前景。

The paper presents an improved genetic algorithm (IGA) based on studying the standard genetic algorithm,and applys it to generate unit optimal commitmeint. The presented method has character-istics of fast search, easy convergence and strong robustness. In the end, IGA is used to deterinine unit com-mitment schedules of a real power system, the result of the example system demonstrates that the technique is efficient and prospective.