Computational and communication architectures for MMC VSC-HVDC Construction

MMC VSC-HVDC 建设的计算和通信架构

• 批准号: 2105488
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2105488
• 关键词: Computational; communication; architectures; MMC; VSC

The remote inspection and asset management of offshore wind farms and their connection to shore is an industry with the potential to be worth £2billion annually by 2025 in the UK alone, according to studies for the Crown Estate. The EPSRC funded "HOME-Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms" project (EP/P009743/1) is undertaking the research necessary to support this industry. The project is exploring the use of advanced sensing, design for reliability, robotics, data-mining and physics-of-failure models to improve safety and reduce operating and maintenance costs.The transmission of power from offshore wind farms is predominantly achieved using High Voltage Direct Current (HVDC) underwater cables, and at either end of these cables is a VSC-HVDC converter. These converters are complex systems, involving power electronics, computing and communication systems. This PhD research programme will support the HOME-Offshore project by investigating how the choice of computational and communication architecture used to implement the VSC-HVDC converter impacts power system performance and the fault tolerance of the converters. The research will be undertaken using a low-power reduced-scale hardware model of a modular multi-level VSC-HVDC converter that has been designed and constructed as part of an ongoing PhD project within the School. The hardware model has the flexibility, using Field Programmable Gate Array (FPGA) technology, to implement and experimentally evaluate a wide range of computational and communication architectures. Faults generated from statistical models can be injected into the system, and their impact on the performance of the power system observed and analysed.The research will inform the design of the control systems for modular multi-level VSC-HVDC converters, and in particular their robustness to sub-system failures. This will lead to improved approaches to design for reliability and fault effect modelling.EPSRC Research Topic Classifications: Robotics & Autonomy, Wind PowerEPSRC Industrial Sector Classifications: Energy

根据Crown Estate的研究，远程检查和资产管理对海上风电场及其与海岸的联系是一个行业，仅到2025年，英国就有可能每年价值200亿英镑。 EPSRC资助的“家庭办公室：海上风电场的能源的整体运营和维护”项目（EP/P009743/1）正在进行支持该行业所需的研究。该项目正在探索使用高级敏感性，可靠性，机器人技术，数据挖掘和物理模型的使用，以提高安全性并降低运行和维护成本。海上风电场的电源传输主要使用高压直流电流（HVDC）水下电缆，并且在这些电池台上都可以实现。这些转换器是复杂的系统，涉及电力电子，计算和通信系统。该博士研究计划将通过研究用于实施VSC-HVDC转换器的计算和通信体系结构的选择如何影响电源系统性能和转换器的容错的容错，来支持家庭往返项目。这项研究将使用模块化多级VSC-HVDC转换器的低功率减少尺度硬件模型进行，该模块是该模块化VSC-HVDC转换器的设计和构建，作为学校内正在进行的博士学位项目的一部分。使用现场可编程门阵列（FPGA）技术，硬件模型具有灵活性，以实现和实验评估广泛的计算和通信体系结构。可以将统计模型产生的故障注入系统中，以及它们对观察和分析的电力系统性能的影响。该研究将为模块化多层VSC-HVDC转换器的控制系统设计提供信息，尤其是它们对子系统故障的稳健性。 EPSRC研究主题分类：机器人与自主权，Wind PowerePSRC工业部门分类：EPSRC研究主题分类：能源

项目成果

Cascaded- and Modular-Multilevel Converter Laboratory Test System Options: A Review

• DOI: 10.1109/access.2021.3066261
• 发表时间: 2021
• 期刊: IEEE Access
• 影响因子: 3.9
• 作者: T. Heath;M. Barnes;P. Judge;G. Chaffey;P. Clemow;T. Green;Peter R. Green;James Wylie;G. Konstantinou;S. Ceballos;J. Pou;M. M. Belhaouane-M.;Haibo Zhang;X. Guillaud;Jack Andrews