摘要
遗传算法是一种全局优化方法 ,适合解决具有离散变量的混合非线性规化问题。模糊控制方法在解决具有可伸缩约束的规划问题方面具有明显优势。将遗传算法与模糊控制理论相结合应用于求解多目标函数的最优潮流问题 ,是一种比较有效的新方法。通过IEEE14节点和IEEE30节点算例计算 ,并与传统的遗传算法计算结果对比表明 ,该算法具有稳定收敛、优化结果精确合理、计算速度较快的特点 。
Genetic algorithm is a method of global optimization, which is suitable for mixed nonlinear planning problems with dispersed variables. Fuzzy-control method has an inherent merit for dealing with planning problems with soft constraints. To solve optimal power flow problems with multi-objective functions, combining genetic algorithm with fuzzy control theory is a new effective method. Through the computation of IEEE 14-bus & IEEE 30-bus examples, comparing with the traditional genetic algorithm, this new algorithm is proved to have stable convergence, accurate and logical optimization results, moreover, a faster computation process. This new algorithm is competent of solving multi-objective mixed nonlinear planning problems.
出处
《西北电力技术》
2001年第5期23-25,共3页
Northwest China Electric Power
