采用分式规划与纵横交叉算法的环境经济调度

摘要

In allusion to the problem of environmental and economic dispatching of constrained power system,a kind of new multi-object optimization method based on fractional planning and crisscross optimization algorithm was proposed.In process of solution,a kind of double model optimization mechanism with nonlinear constrain was proposed in which modelⅠ was fractional panning function and modelⅡ was quadratic function for fuel cost.Dinkelbach algorithm was used for transfor-ming modelⅠinto non-fractional planning function and the acquired total emission load of polluted gas was taken as equation constraint condition for applying in modelⅡ.Meanwhile,new crisscross algorithm was used for optimizing these two mod-els.Simulation results of IEEE-30 node system indicated that compared with other algorithms,the proposed method was more simple and stable as well as provided with high precision and easy to be operated which might obtain smaller emission load of polluted gas at the same time of efficiently using fuel.%针对带约束的电力系统环境经济调度问题,提出一种全新的基于分式规划与纵横交叉算法的多目标优化方法。在求解过程中,提出一种带非线性约束的双模型优化机制,其中模型Ⅰ为分式规划函数,模型Ⅱ为燃料费用的二次函数。采用 Dinkelbach 算法将模型Ⅰ转化为非分式规划函数,所求得的污染气体总排放量作为等式约束条件应用于模型Ⅱ,同时采用新型的纵横交叉算法对这两个模型进行优化。对 IEEE-30节点系统的仿真结果表明：相比较其他算法,所提出的方法更加简单、稳定,且精确性高,易于操作,可在燃料高效利用的同时获得更小的污染气体排放量。