摘要
电力系统最优潮流是在保证电力系统各种约束条件都满足的情况下,使发电厂发电燃料成本最低,在数学模型上归纳为一个典型的非线性规划问题。利用双曲正切函数非线性地改进差分进化算法的变异因子和交叉因子,解决了收敛速度和收敛精度的问题。经IEEE14节点系统验证,将其应用于解决电力系统最优潮流问题,与其他算法相比,能有效减少发电燃料费用,具有良好的寻优能力和收敛特性。
Optimal power flow refers to the power flow which makes fuel cost of power plant lowest while ensuring the satisfaction of various constraints of power system.It can be regarded as a typical nonlinear programming problem of mathematical modeling.This paper uses hyperbolic tangent function to nonlinearly modify variation factor and crossover factor of the differential algorithm and thereby to improve convergence speed and convergence accuracy.It is verified by IEEE 14 node system that the adoption of the modified differential algorithm to optimizing power flow achieves obvious reduction of fuel cost compared with other relevant algorithms,and satisfactory optimization ability and convergence characteristics.
作者
孙江
任家智
SUN Jiang;REN Jiazhi(Shanxi Institute of Energy,Jinzhong 060003,China)
出处
《电工技术》
2023年第21期1-4,共4页
Electric Engineering
基金
山西省教育厅课程思政项目(编号SZ202104)。
关键词
最优潮流
改进差分进化算法
寻优能力
optimal power flow
modified differential algorithm
optimization ability
