光伏储能系统电池能量管理研究

为延长蓄电池的使用寿命、降低光伏发电系统的运行成本,分析了光伏发电系统中储能蓄电池工作状况的特殊性和建立一套完整的蓄电池能量管理系统的必要性.分析了蓄电池能量管理系统的主要组成模块,提出了一种以实现蓄电池优化管理和提高光伏发电系统能量利用率为目标的分组自治能量管理策略.实时在线估算蓄电池的荷电状态SOC是实现分组自治能量管理的基础,采用蓄电池Thevenin模型、利用扩展卡尔曼滤波(EKF)算法实现了蓄电池SOC的估算.仿真结果表明,EKF算法具有较好的精度,并对初始值的误差有较强的修正作用.

Study on the Batteries Energy Management in Photovoltaic Energy Storage System

To extend the life of the battery,and reduce the cost of photovoltaic power generation systems,this paper analyzes the specificity of the working conditions of storage batteries and the need to establish a complete battery energy management system in photovoltaic power generation system.In order to achieve the optimize management of battery and improve the energy efficiency of photovoltaic power generation systems,a packet-based self-government energy management strategy has been proposed by analyzing the main component modules of the battery energy management system.Specifically,real-time online estimates the state of charge(SOC) is the basis of the energy management.Therefore,a strategy based on the well-known Extended Kalman Filter(EFK),are presented,using the Thevenin model,to estimate SOC.Simulation results show that EKF algorithm has better accuracy,and perform well when initial error happens.