摘要
三相负荷不平衡是导致线损率增长的主要原因,因此解决了三相负荷不平衡问题就能从根本上将线损控制在允许范围内,实现有效降损。在此背景下,针对传统遗产算法应用效果差的问题,研究一种低压配电变压器三相负荷不平衡下的线损率小生境遗传分析算法。利用均方根电流法计算三相电能损耗并计算其占据供电负荷的比例,得出线损率。结合线损数值,构建换相成本最小化目标函数,利用小生境遗传分析算法求解约束条件下的最优换相方案,通过换相调整,促进低压配电变压器三相负荷平衡化,实现降损。测试结果表明:与换相前相比,换相调整后的低压配电变压器三相负荷不平衡度降低,线损率减小,说明所提换相方案起到了线损控制的作用。
Imbalance of three-phase load is the main reason for increase of line loss rate.Therefore solving the problem of three-phase load imbalance can fundamentally control line loss within allowable range and achieve effective loss reduction.In this context,a niche genetic analysis algorithm for line loss rate of low-voltage distribution transformers under three-phase load imbalance is studied to address the problem of poor applicative utility of traditional inheritance algorithms.In this study,the root mean square current method is used to calculate energy loss of three-phase electric power and its proportion in power supply load,and the outgoing line loss rate is obtained.Combining line loss values,an objective function for minimizing commutation cost is constructed,and the niche genetic analysis algorithm is used to solve the optimal commutation scheme under constraint conditions.Through commutation adjustment,the three-phase load balance of low-voltage distribution transformers is promoted to achieve loss reduction.The results show that compared with before commutation,three-phase load imbalance of low-voltage distribution transformer after commutation adjustment is reduced,and the line loss rate is reduced,indicating that the obtained commutation scheme plays a role in line loss control.
作者
石刚
刘刚
李威
SHI Gang;LIU Gang;LI Wei(Gansu Tongxing Intelligent Technology Development Co.,Ltd.,Lanzhou 730050,China)
出处
《电工技术》
2024年第5期72-75,78,共5页
Electric Engineering
关键词
低压配电变压器
三相负荷不平衡
线损率计算
小生境遗传分析算法
换相
low-voltage distribution transformer
unbalanced three-phase load
calculation of line loss rate
niche genetic analysis algorithm
commutation
作者简介
石刚(1980-),工程硕士,副高级工程师,研究方向为电力信息与通信;刘刚(1987-),硕士研究生,研究方向为配网数字化、智能化;李威(1997-),研究方向为配网数字化、智能化。
