摘要
水质监测仪光伏系统常常因为能量分配不合理造成系统寿命缩短和能量浪费等问题。为此研究一种基于水质监测仪光伏系统的优化配置模型与能量调度方法,通过满足最大连续阴暗天数和最大吞吐量为目标建立多级蓄电池储能光伏系统的优化配置模型,使得光伏系统在满足水质监测仪负载需求的同时提高蓄电池吞吐量。并在此数学模型基础上研究一种能量调度方法维持各级蓄电池的充放电深度(depth of discharge,DoD)平衡,以此延长储能系统的使用寿命并提高光伏利用率。本文应用该优化配置模型和能量调度方法搭建了水质监测仪的光伏系统,通过使用MATLAB/Simulink工具模拟平均气候下光伏系统工作得到配置模型的DOD误差为5.9%,对比传统单蓄电池配置策略,电池吞吐量提高了229.36%。通过连续15 d全天候实验,得到能量调度方法实现蓄电池DOD均衡相对平均偏差为1.06%,并通过连续3 d仅蓄电池供电的实验环境维持水质监测仪稳定运作。
Photovoltaic systems of water quality monitors often cause problems such as shortened system life and energy waste due to unreasonable energy distribution.For this reason,this paper studies an optimal configuration model and energy scheduling method based on the photovoltaic system of the water quality monitor,and establishes an optimal configuration model for the multi-level battery energy storage photovoltaic system by satisfying the maximum number of consecutive dark days and the maximum throughput,so that the photovoltaic system can increase battery throughput while meeting the load demands of water quality monitors.And based on this mathematical model,an energy scheduling method is studied to maintain the balance of the depth of discharge(DoD)of batteries at all levels,so as to prolong the service life of the energy storage system and improve the utilization rate of photovoltaics.In this paper,the optimal configuration model and energy scheduling method are used to build a photovoltaic system for water quality monitors.By using MATLAB/Simulink tools to simulate the operation of photovoltaic systems in average climates,the DOD error of the configuration model is 5.9%.Compared with the traditional single-battery configuration strategy,the battery Throughput increased by 229.36%.Through 15 consecutive days of all-weather experiments,the energy scheduling method was obtained to achieve a relative average deviation of 1.06%for DOD balance of the battery,and the water quality monitor was maintained to operate stably through the experimental environment of only battery power for 3 consecutivedays.
作者
黄春荣
刘桂雄
戈燕红
郭德音
Huang Chunrong;Liu Guixiong;Ge Yanhong;Guo Deyin(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China;Guangdong Infore Technology Co.,Ltd.,Foshan 528300,China)
出处
《国外电子测量技术》
北大核心
2023年第10期106-112,共7页
Foreign Electronic Measurement Technology
基金
广东省科技创新战略专项资金
佛山市科技创新项目(2120001008296)资助。
关键词
水质监测仪
光伏系统
优化配置
能量调度
water quality monitor
photovoltaic system
optimal configuration
energy scheduling