基于全局人工鱼群算法的变压器投切控制策略分析  

The Analysis on Transformer Switching Control Strategy Based on GAFSA

作　　者：梁天宇 杜欣慧[1] 杜璞良 LIANG Tian-yu DU Xin-hui DU Pu-liang(Department of Electrical Engineering, Taiyuan University of Technology, Taiyuan 030024, Chin)

机构地区：[1]太原理工大学电气与动力工程学院,山西太原030024

出　　处：《数学的实践与认识》2017年第19期128-135,共8页Mathematics in Practice and Theory

摘　　要：钢铁企业中变压器的投切往往都是根据工作人员的经验而操作进行的,忽略了投切时机对于变压器损耗的影响.考虑到钢铁企业在电力负荷中占有很大的比重,所以投切不恰当而产生的费用是不可忽视的.针对上述问题,提出一种基于全局人工鱼群算法的变压器投切控制方法,根据钢铁企业变压器实际参数,计算出变电站不同运行情况下的临界负载量,通过结合实际负荷情况确定变压器投切点;全局人工鱼群算法具有较快的收敛速度,可以用于解决有实时性要求的问题.以最终节电效益用作为目标函数,基于全局人工鱼群算法得到最优投切方案.最后以某钢铁企业变压器投切为例,验证了所提方法的有效性.The transformer switching operation in iron and steel industries are usually based on the experience of the staff, and ignore the influence of cutting time on transformers losses. Considering the steel enterprises holds a large proportion in the power load, so the cost caused by the in inappropriate switching cannot be ignored. Aiming at the above problems, a transformer switching control approach based on GAFSA was put forwarded in this paper. Critical load of substation under different operating conditions was computed by actual parameters of the iron and steel industry, by combining actual load, the transformer switching point was determined successfully; GAFSA has faster convergence speed and can be used to solve the problem with real-time requirements. In this paper, the power saving benefit was viewed as objective function, the optimal switching strategy was obtained exactly based on GAFSA which was used to calculate and optimize the function. Finally, a case study of transformer switching in a iron and steel enterprise was presenter to illustrate the effectiveness of the proposed approach.

关 键 词：全局人工鱼群算法 投切控制 临界负载量 节电效益 钢铁企业 

分 类 号：TF083[冶金工程—冶金物理化学] TP18[自动化与计算机技术—控制理论与控制工程]