Improved CSMA/CA Algorithm of New Energy Centralized Control Power Balance Based on Weight
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 consump-tion 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 cal-culate 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.
entropy weight methodcentralized control of new energypower balanceimproved CSMA/CA algorithm
万方数据
维普
