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

根据皇家地产的研究，海上风电场的远程检查和资产管理及其与海岸的连接是一个行业，到2025年，仅在英国每年就有可能价值20亿英镑。EPSRC资助的“HOME-Offshore：海上风电场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先进的传感、可靠性设计、机器人技术、数据挖掘和故障物理模型来提高安全性并降低运营和维护成本。海上风电场的电力传输主要通过高压直流（HVDC）水下电缆实现，这些电缆的两端是VSC-HVDC转换器。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调查用于实施VSC-HVDC转换器的计算和通信架构的选择如何影响电力系统性能和转换器的容错性来支持HOME-Offshore项目。该研究将使用模块化多电平VSC-HVDC换流器的低功耗缩小规模硬件模型进行，该模型已被设计和建造为学校内正在进行的博士项目的一部分。硬件模型具有灵活性，使用现场可编程门阵列（FPGA）技术，实现和实验评估范围广泛的计算和通信架构。从统计模型中产生的故障可以注入到系统中，并观察和分析其对电力系统性能的影响，该研究将为模块化多电平VSC-HVDC换流器的控制系统的设计提供信息，特别是其对子系统故障的鲁棒性。这将导致可靠性和故障影响建模设计的改进方法。EPSRC研究主题分类：机器人与自主，风能EPSRC工业部门分类：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