摘要
蚁群算法是一种广泛应用于电力领域各方面的智能算法,本文首先对原始算法的基本原理以及典型的改进策略进行简单介绍,然后从其应用于电网中的潮流优化问题、经济负荷分配问题、机组最优投入问题(热电机组的短期发电计划等)、电网规划问题(配电网络重构、扩展规划问题)四个方面进行简要评述,简单分析了该算法在此四个方面基本应用现状,并进行对比分析,指出该算法目前存在缺陷以及未来可能应用的方向。
Ant colony algorithm is an intelligent algorithm widely used in all aspects of power industry. This paper firstly introduces the basic principle of the original algorithm and the typical improvement strategy, and then applies it to the power flow optimization problem and economic load distribution problem in the power grid. The unit's optimal input problem (the short-term power generation plan of the thermal power unit, etc.), the power grid planning problem (distribution network reconstruction, expansion planning problem) are briefly reviewed, and the basic application status of the algorithm in these four aspects is briefly analyzed. And a comparative analysis, pointing out that the algorithm currently has defects and the possible future application direction.
作者
李卓
古庭赟
LI Zhuo;GU Ting-yun(The Electrical Engineering College,Guizhou University,Guiyang,Guizhou 550025;Electric Power Research Instituteof GuizhouPower Grid Co.,Ltd.,Guiyang,Guizhou 550025)
出处
《新型工业化》
2019年第5期108-113,共6页
The Journal of New Industrialization
关键词
蚁群算法
潮流优化
经济负荷分配
机组最优投入
电网规划
Ant colony algorithm
Power optimization
Economic load distribution
Optimal unit input
Power grid planning