Design of an MPC Controller for Controlling the Active Optical Filter Used for the PV-Cell to Achieve the Optimal Output Power at Each Ambient Temperature

IF 1.204 Q3 Energy Applied Solar Energy Pub Date : 2024-07-26 DOI:10.3103/s0003701x23601059

Kumaril Buts

{"title":"Design of an MPC Controller for Controlling the Active Optical Filter Used for the PV-Cell to Achieve the Optimal Output Power at Each Ambient Temperature","authors":"Kumaril Buts","doi":"10.3103/s0003701x23601059","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>In the past three decades, photovoltaic power generation has emerged as a key player in the field of green electricity market. Conventional coal-based power generation, causing all kinds of adverse environmental impacts, is even established in the electricity market only based on its efficiency and matured technology advantage. Now, based on new technology and research, photovoltaic power generation is also enjoying the reliable and efficient technology advantage. By enhancing the efficiency of photovoltaic power generation, the economic gap (per unit energy cost) between conventional and renewable one can be mitigated, by generating more energy during available sunny-times. The efficiency of the photovoltaic cell decreases drastically with an increase in module temperature. The responsible wavelength of the spectrum of solar irradiance can be filtered with the help of a passive optical filter or an active (thermo-electrical) optical filter. In this article, a new model-based predictive controller (MPC) is proposed for controlling the active optical filter that optimizes the Photovoltaic electrical power output efficiency at every wavelength of solar irradiance. This proposed MPC controller is simulated in MATLAB-R2022b, with the real-world solar irradiance and ambient temperature available at NIT K solar energy lab. The results are further verified at the real-time OPAL-RT platform to ensure the viability of the proposed work at the hardware level. The MATLAB and OPAL-RT results show that the overall performance of the PV cell has been increased.</p>","PeriodicalId":475,"journal":{"name":"Applied Solar Energy","volume":null,"pages":null},"PeriodicalIF":1.2040,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Solar Energy","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.3103/s0003701x23601059","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Energy","Score":null,"Total":0}

引用次数: 0

Abstract

In the past three decades, photovoltaic power generation has emerged as a key player in the field of green electricity market. Conventional coal-based power generation, causing all kinds of adverse environmental impacts, is even established in the electricity market only based on its efficiency and matured technology advantage. Now, based on new technology and research, photovoltaic power generation is also enjoying the reliable and efficient technology advantage. By enhancing the efficiency of photovoltaic power generation, the economic gap (per unit energy cost) between conventional and renewable one can be mitigated, by generating more energy during available sunny-times. The efficiency of the photovoltaic cell decreases drastically with an increase in module temperature. The responsible wavelength of the spectrum of solar irradiance can be filtered with the help of a passive optical filter or an active (thermo-electrical) optical filter. In this article, a new model-based predictive controller (MPC) is proposed for controlling the active optical filter that optimizes the Photovoltaic electrical power output efficiency at every wavelength of solar irradiance. This proposed MPC controller is simulated in MATLAB-R2022b, with the real-world solar irradiance and ambient temperature available at NIT K solar energy lab. The results are further verified at the real-time OPAL-RT platform to ensure the viability of the proposed work at the hardware level. The MATLAB and OPAL-RT results show that the overall performance of the PV cell has been increased.

Abstract Image

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

设计用于控制光伏电池有源光学滤波器的 MPC 控制器，以在各种环境温度下实现最佳输出功率

摘要近三十年来，光伏发电在绿色电力市场领域异军突起。传统的煤炭发电会对环境造成各种不利影响，甚至只能凭借其效率和成熟的技术优势立足于电力市场。如今，基于新技术和新研究的光伏发电也正享受着可靠、高效的技术优势。通过提高光伏发电的效率，可以在阳光充足的时间生产更多的能源，从而缩小传统发电与可再生能源之间的经济差距（单位能源成本）。光伏电池的效率会随着组件温度的升高而急剧下降。太阳辐照光谱中的责任波长可借助无源光学滤波器或有源（热电）光学滤波器进行过滤。本文提出了一种新的基于模型的预测控制器 (MPC)，用于控制主动光学滤光器，优化每个太阳辐照波长下的光伏发电输出效率。本文在 MATLAB-R2022b 中利用 NIT K 太阳能实验室的实际太阳辐照度和环境温度对所提出的 MPC 控制器进行了仿真。仿真结果在实时 OPAL-RT 平台上得到进一步验证，以确保所提方案在硬件层面的可行性。MATLAB 和 OPAL-RT 的结果表明，光伏电池的整体性能得到了提高。

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分钟内获得全文去求助

来源期刊

Applied Solar Energy Energy-Renewable Energy, Sustainability and the Environment

CiteScore

2.50

自引率

0.00%

发文量

期刊介绍： Applied Solar Energy is an international peer reviewed journal covers various topics of research and development studies on solar energy conversion and use: photovoltaics, thermophotovoltaics, water heaters, passive solar heating systems, drying of agricultural production, water desalination, solar radiation condensers, operation of Big Solar Oven, combined use of solar energy and traditional energy sources, new semiconductors for solar cells and thermophotovoltaic system photocells, engines for autonomous solar stations.