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HIGHLY EFFICIENT, RELIABLE AND SMALL-SIZED POWER CONVERTERS FOR SOLAR ENERGY STORAGE SYSTEMS

HIGHLY EFFICIENT, RELIABLE AND SMALL-SIZED POWER CONVERTERS FOR SOLAR ENERGY STORAGE SYSTEMS
适用于太阳能存储系统的高效、可靠、小型电源转换器
批准号:
1952105
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
Solar PV and energy storage systems have been widely recognised as one of most effective ways to address energy and environmental issues. Several power electronic converters are required to manage the power flow from solar PV panels to energy storage and power grid. As a result, such converters can determine the overall performance, e.g., efficiency and power density, of the solar energy storage system.Numerous control methods, topologies, and modulation strategies have been recently proposed to improve power density, efficiency, reliability, and costs of the converters. However, two major challenges remain as critical obstacles to further advance these. The first challenge is the bulky electrolytic capacitors used to reduce voltage ripples, which are the most vulnerable components in the converters. They can cause about 30% of failures, and occupy 83% of the volume in a small power converter. The second challenge is the inefficient and bulky isolation transformers used to isolate leakage currents. Such transformers can account for about 3% of system power losses, over 60% of weight, and over 50% of volume in a 6 kW PV inverter.In this project, we aim to develop a 5 kW highly efficient, reliable and small-sized converter system for solar PV energy storage systems through 1) advanced design of power topologies to remove isolation transformers and electrolytic capacitors; 2) design of high-frequency inductors to reduce system size and weight; 3) control system design to improve system dynamics; 4) simulation and experimental verification of the developed power converters. With the commitment from Solar Ready Solutions, routes to commercialization of the developed converters will be included as a part of this project.
期刊论文(4)
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科研奖励(0)
会议论文
DOI: 10.1109/ojpel.2022.3147769
发表时间: 2022
期刊: IEEE Open Journal of Power Electronics
影响因子: 5.8
作者: [Rajesh Rajamony;Sheng-Kuan Wang;R. Navaratne;Wenlong Ming]
通讯作者: Rajesh Rajamony;Sheng-Kuan Wang;R. Navaratne;Wenlong Ming
Artificial Neural Networks based Multi-Objective Design Approach for Single-phase Inverters
基于人工神经网络的单相逆变器多目标设计方法
DOI: 10.1109/ipemc-ecceasia48364.2020.9368235
发表时间: 2020
期刊:
影响因子: --
作者: [Rajamony R]
通讯作者: Rajamony R
DOI: 10.23919/epe.2019.8914818
发表时间: 2019-09
期刊: 2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)
影响因子: --
作者: [Rajesh Rajamony;Wenlong Ming]
通讯作者: Rajesh Rajamony;Wenlong Ming
Artificial Neural Networks-Based Multi-Objective Design Methodology for Wide-Bandgap Power Electronics Converters
基于人工神经网络的宽带隙电力电子转换器多目标设计方法
DOI: 10.1109/ojpel.2022.3204630
发表时间: 2022
期刊: IEEE Open Journal of Power Electronics
影响因子: 5.8
作者: [Rajamony R]
通讯作者: Rajamony R
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