湖南大学学报（自然科学版）2024，Vol.51Issue(2)：1-11,11.DOI:10.16339/j.cnki.hdxbzkb.2024221
基于多目标协调的混合储能功率自适应分配方法
Adaptive Power Allocation Strategy for Hybrid Energy Storage Based on Multi-objective Coordination
摘要
Abstract
Hybrid energy storage has superior power controllability and is often used as a power buffer in island microgrids to compensate for the power output of distributed powers and loads.To address power response issues,a power control method for hybrid energy storage is proposed,and an adaptive power allocation strategy with multi-objective coordination for subunits is developed.Firstly,a master-slave parallel power control scheme is developed by analyzing the balance mechanism of bus power supply and demand.Secondly,the scheme achieved autonomous power distribution of subunits by utilizing the zeroing characteristic of the integrator.Based on this,a hierarchical management system for SOC and a power coordination method with multi-objective optimization of subunits are designed by analyzing the maximum power response of subunits under different SOCs.The simulation results indicate that the proposed method yields a power distribution effect that aligns with the power response characteristics of subunits.As the SOCscn offset increases,the proposed strategy provides a stronger optimization ability for SOCscn,as the performance can be improved by 10.1％when the initial SOCscn is 97％,which ensures that the power output capacity of the supercapacitor as a voltage source is guaranteed.The proposed strategy reduces the output strength of the battery under the normal condition of the supercapacitor as the maximum power depth of the battery is reduced by 46.7％.This improvement prolongs the service life of the battery.关键词
孤岛微电网/混合储能功率控制/SOC分层管理/多目标协调/功率自适应分配Key words
island microgrid/power control of hybrid energy storage/hierarchical management of SOC/multi-objective coordination/adaptive power allocation method分类
动力与电气工程引用本文复制引用
陈燕东,刘燕军,张松,谢志为,王自力,桑勇,张龙..基于多目标协调的混合储能功率自适应分配方法[J].湖南大学学报（自然科学版）,2024,51(2):1-11,11.基金项目
国家自然科学基金资助项目(52077070),National Natural Science Foundation of China(5207707) （52077070）
博士后创新人才支持计划(BX20220103),China National Postdoctor for Innivative Talents(BX20220103) （BX20220103）
深圳市自然科学基金面上项目(JCYJ20220530160405012),Natural Science Foundation of Shenzhen(JCYJ20220530160405012) （JCYJ20220530160405012）
