Power System Load Modeling Based on Genetic Programming
Jian Zhang, Chaohui Zhang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2014
GeneticProgramming (GP) is a new evolutionary algorithm based on genetic algorithm, which has selfadaptive, self-organizing, self-learning and other advantages, and has significant advantages in terms of symbolic regression to solve long-term problems of the model structure automatically recognizes the problem.In this paper, the genetic programming is introduced to the power system load modeling to solve long-standing problems of automatic identification model structure in the power system.