A SOC-feedback Control Scheme for Fast Frequency Support with Hybrid Battery/Supercapacitor Storage System

2021 6th IEEE Workshop on the Electronic Grid (eGRID) Pub Date : 2021-11-08 DOI:10.1109/eGRID52793.2021.9662149

S. Bruno, Giovanni de Carne, Cosimo Iurlaro, Carmine Rodio, Mino Specchio

{"title":"A SOC-feedback Control Scheme for Fast Frequency Support with Hybrid Battery/Supercapacitor Storage System","authors":"S. Bruno, Giovanni de Carne, Cosimo Iurlaro, Carmine Rodio, Mino Specchio","doi":"10.1109/eGRID52793.2021.9662149","DOIUrl":null,"url":null,"abstract":"Providing fast frequency regulation by means of energy storage systems is currently considered as a viable solution to low-inertia issues, caused by power electronics-interfaced generators. In particular, hybrid energy storage systems, composed by more energy storage technologies having different power and energy ratings, can optimally support the frequency regulation. A supercapacitor/battery storage system, for example, can exploit the supercapacitor dynamic active power response for synthetic inertia control, while the battery can provide primary and secondary frequency regulation. However, the optimal energy management of hybrid energy storage systems during transients needs to be addressed further in literature. In this paper, a State of Charge (SOC) feedback control scheme is proposed, that adjusts the active power output reference depending on the state of charge, avoiding excessive stress on the components and limiting the state of charge excursions. Control system parameters are optimally tuned minimizing a weighted multi-objective function in the solution of an optimal control problem. Test results adopting different weights are presented and discussed.","PeriodicalId":198321,"journal":{"name":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 6th IEEE Workshop on the Electronic Grid (eGRID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/eGRID52793.2021.9662149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

Providing fast frequency regulation by means of energy storage systems is currently considered as a viable solution to low-inertia issues, caused by power electronics-interfaced generators. In particular, hybrid energy storage systems, composed by more energy storage technologies having different power and energy ratings, can optimally support the frequency regulation. A supercapacitor/battery storage system, for example, can exploit the supercapacitor dynamic active power response for synthetic inertia control, while the battery can provide primary and secondary frequency regulation. However, the optimal energy management of hybrid energy storage systems during transients needs to be addressed further in literature. In this paper, a State of Charge (SOC) feedback control scheme is proposed, that adjusts the active power output reference depending on the state of charge, avoiding excessive stress on the components and limiting the state of charge excursions. Control system parameters are optimally tuned minimizing a weighted multi-objective function in the solution of an optimal control problem. Test results adopting different weights are presented and discussed.

查看原文本刊更多论文

一种基于soc反馈的电池/超级电容器混合存储系统快速频率支持控制方案

目前，通过储能系统提供快速频率调节被认为是解决电力电子接口发电机引起的低惯性问题的可行方案。特别是混合储能系统，由更多具有不同功率和能量额定值的储能技术组成，可以最佳地支持频率调节。例如，超级电容器/电池存储系统可以利用超级电容器动态有功功率响应进行综合惯性控制，而电池可以提供一次和二次频率调节。然而，混合储能系统在瞬态时的最佳能量管理问题需要在文献中进一步研究。提出了一种荷电状态反馈控制方案，根据荷电状态调整有功输出基准功率，避免元件承受过大应力，限制荷电状态漂移。在最优控制问题中，控制系统参数的最优调整是最小化一个加权多目标函数。给出并讨论了采用不同权重的试验结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2021 6th IEEE Workshop on the Electronic Grid (eGRID)

自引率

0.00%

发文量