基于免疫遗传算法的超短期发电计划优化

超短期发电计划优化在电力系统调度运行中发挥着越来越重要的作用，但由于其是一个非线性整数约束优化问题，数学模型复杂，很难从理论上找到全局最优解。针对电力系统发电计划优化问题，引入免疫遗传算法，很好地解决了遗传算法局部收敛的问题，实现了群体收敛性和个体多样性间的动态平衡调整，能快速准确求解，及时调整超短期发电计划方案，从而达到安全经济环保调度，优化资源配置的效果。

Ultra -short term generation scheduling optimizing based on immune genetic algorithm

Short term generation scheduling optimizing is plays an increasingly important role, but because it is a nonlinear integer constrained optimization problem, so its mathematical model is very complex, it is difficult to find the global optimal solution in theory. For the power system scheduling optimizing problems, introducing the immune genetic algorithm , which is very good solution to genetic algorithm local convergence problems ,to realize the population convergence and the diversity of individual ＇s dynamic balance adjustment, can be rapidly and accurately solving, timely adjustment of ultra short -term generation scheduling scheme, so as to achieve safe a, economic and environmental friendlyof scheduling, optimizing the effect of resources allocation.