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在改进单亲遗传算法的基础上,以火电机组运行费用最小化为目标函数,提出了求解方法。模型中计入了水电机组的发电流量、净水头和输出功率间的非线性关系,以及水电系统中多级水库的水流延迟等因素。算例仿真计算的结果表明该方法求解精度高、收敛速度快,进一步验证了算法的正确性和有效性。
On the basis of improving single-parent genetic algorithm, the minimization of operating costs of thermal power units is taken as the objective function, and a solution method is proposed. The model takes into account factors such as the power generation flow rate of the hydropower unit, the nonlinear relationship between the net head and the output power, and the delay of the multi-stage reservoir in the hydropower system. The simulation results show that the proposed method has high solution accuracy and fast convergence speed, which further verifies the correctness and effectiveness of the algorithm.