摘要
讨论了模拟进化优化方法中的进化规划（ＥＰ）在电力负荷预测中的应用问题．在基因编码、适合度函数和变异量取值方面进行了研究，引入了优化组合预测模型，进一步拓展了进化规划在电力系统中的应用前景．经实例计算表明，该方法不仅克服了梯度寻优可能陷于局部最优解或在接近最优解时难以收敛的缺点，也省去了常规方法大量、复杂、繁琐的计算，具有全局寻优、并行处理特性、通用性好、稳定性强等优点，因而是行之有效的．
This paper describes an application of evolutionary programming (EP) to power load forecast. Some technical problems (representation of candidate solutions, evaluation function, mutation operator) are studied;the combined forecasting method is introduced.All these will expand the application of EP in the power system. The result of a practical example demonstrate that this method not only overcomes the local optimization and the difficulties of convergence in general optimization method, but also reduces a large amount of complex calculations. This method has some other advantages of parallel disposal characteristics,versatility and stability.
出处
《郑州工业大学学报》
1999年第2期54-56,共3页
Journal of Zhengzhou University of Technology
关键词
进化规划
负荷预测
组合预测
电力系统
evolutionary programming
load forecast
combined forecasting
