A novel battery network modelling using constraint differential evolution algorithm optimisation
作者：
Highlights：
• A novel battery network system with optimal management of energy is proposed.
• An optimal management strategy has been implemented.
• The constraint differential evolution optimisation is applied to above system.
• The new strategy can remove more peak areas of forecasted demand data.
• The proposed method is also compared to the self-adaptive control algorithm.
摘要
•A novel battery network system with optimal management of energy is proposed.•An optimal management strategy has been implemented.•The constraint differential evolution optimisation is applied to above system.•The new strategy can remove more peak areas of forecasted demand data.•The proposed method is also compared to the self-adaptive control algorithm.
论文关键词：Optimisation,Constraint optimisation,Self-adaptive control,Distributed network model
论文评审过程：Received 3 July 2015, Revised 22 December 2015, Accepted 16 January 2016, Available online 21 February 2016, Version of Record 18 March 2016.
论文官网地址：https://doi.org/10.1016/j.knosys.2016.01.019
