摘要
针对新能源集控任务下发过程中,单个节点电量消耗较大,直接影响电量均衡的问题,提出一种基于权值的新能源集控电量均衡CSMA/CA改进算法。建立电池等效模型,通过计算健康系数推导新能源集控节点当前电量。计算各个电池当前电量与预期之间的差值,当60%以上节点的差值大于设定的阈值,认为电量存在不均衡的问题。利用熵权法与CSMA/CA算法计算三个关键变量的权值,即NB、CW和BE,并赋权,实现CSMA/CA算法改进,以此动态调控任务,实现新能源集控电量均衡消耗。结果表明:利用权值改进后,电量均衡度平均值明显更高。这种方法为促进电量均衡提供新思路。
The power consumption of a single node is large in the process of new energy centralized control task distribution,which directly affects the power balance.To solve the problem,an improved CSMA/CA algorithm of new energy centralized control power balance based on weight is proposed.A battery equivalent model is established,and the current power consumption of new energy centralized control node is deduced by calculating the health coefficient.It calculates the difference between the current power of each battery and the expected power.When the difference of more than 60%nodes is greater than the set threshold,it is considered that the power is unbalanced.The entropy weight method and CSMA/CA algorithm are used to calculate the weights of three key variables,namely NB,CW and BE,and change weights to realize the improvement of CSMA/CA algorithm,so as to dynamically regulate the task and realize the balanced power consumption of centralized control of new energy.The results show that the average value of electricity balance degree is significantly higher after using the improved weights,which provides a new idea for promoting electricity balance.
作者
王旭东
韩晓磊
邹功鑫
杨小林
叶立悦
WANG Xudong;HAN Xiaolei;ZOU Gongxin;YANG Xiaolin;YE Liyue(South China Branch of Beijing Jingneng Clean Energy Co.,Ltd.,Zhanjiang 524000,China)
出处
《微型电脑应用》
2024年第5期227-230,共4页
Microcomputer Applications
关键词
熵权法
新能源集控
电量均衡
CSMA/CA改进算法
entropy weight method
centralized control of new energy
power balance
improved CSMA/CA algorithm
