{"title":"Adaptive and Integrated PV Output control with Battery Energy Storage","authors":"Chenrui Jin, Ratnesh K. Sharma","doi":"10.1109/ISGT-ASIA.2018.8467866","DOIUrl":null,"url":null,"abstract":"An adaptive control system for battery integrated PV generation is designed to reduce the fluctuating in PV power production. The core component of the system is a four-layer power control system (PCS) for Battery Energy Storage (BES). BES responds to the power dispatch commands from PCS and charges/discharges to mitigate variations in PV power output. As a core part of the system, a novel PV power smoothing algorithm is proposed to reduce battery capacity requirements and reduce battery life losses by adaptively adjusting control parameter settings based on real-time system characteristics. Extensive simulation results based on real PV generation data have been presented to justify the effectiveness of the proposed approach and to show how several key parameters affect its performance.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-ASIA.2018.8467866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An adaptive control system for battery integrated PV generation is designed to reduce the fluctuating in PV power production. The core component of the system is a four-layer power control system (PCS) for Battery Energy Storage (BES). BES responds to the power dispatch commands from PCS and charges/discharges to mitigate variations in PV power output. As a core part of the system, a novel PV power smoothing algorithm is proposed to reduce battery capacity requirements and reduce battery life losses by adaptively adjusting control parameter settings based on real-time system characteristics. Extensive simulation results based on real PV generation data have been presented to justify the effectiveness of the proposed approach and to show how several key parameters affect its performance.
为减小光伏发电的波动,设计了电池集成光伏发电的自适应控制系统。该系统的核心部件是用于电池储能(BES)的四层电源控制系统PCS (power control system)。BES响应来自pc和充电/放电的电力调度命令,以减轻光伏发电输出的变化。作为系统的核心部分,提出了一种新颖的光伏功率平滑算法,通过根据系统实时特性自适应调整控制参数设置,降低电池容量要求,减少电池寿命损失。基于真实光伏发电数据的大量仿真结果证明了所提出方法的有效性,并显示了几个关键参数如何影响其性能。