文档介绍：基于Matlab改进遗传算法的有功负荷分配研究
梁思聪王维庆张新燕
(新疆大学电气工程学院,新疆乌鲁木齐, 830008)
摘要:遗传算法在优化多约束、多目标问题时有明显的优势。Matlab为该算法实现提供了简单的方法。用爬山算法和遗传算法相结合,可以在一定程度上克服遗传算法在局部搜索能力方面的不足和爬山算法在全局搜索能力方面的不足。机组负荷优化分配是一种可提高电厂经济性的手段, 但目前还没有得到一种绝对严格的算法。为了解决这个问题,引入模糊理论建立了电站机组负荷分配模型,并运用爬山算法与遗传算法相结合求解。该算法不同于常规优化算法特点在于:优化过程简单,容易得到全局最优解,适合大规模的复杂系统求解。方法的有效性通过算例分析得到了验证。
关键词:有功负荷分配;隶属函数;遗传算法(GA);优化
Study of Active power dispatch based on
improved ic algorithm optimization in Matlab
Liang Si-cong, Zhang Xin-yan,Wang Wei-qing
(College of Electrical Engineering, Xinjiang University, Urumqi Xinjiang, 830008)
Abstract ic algrithm has remarkable superiority as optimizing multi-objective,many restriction provided a simple and convenient method for the algrithm's realization. The hybrid ic algorithm witch is bination of ic algorithm and hill-climbing algorithm, can the weakness of ic algorithm in local search and hilling-climbing in global search. The optimization of active power dispatch among power generating sets is a measure for improving economy of power plants, but now there is no absolutely strict algorithm. In this paper,a model of optimization of load allocation among power generating sets is established with fuzzy theory; and applied the hybrid ic algorithm to solve the model. The algorithm is different from normal optimization algorithms as follows : simple language; easier getting best solutions