Modelling and optimisation for a coordinated interconnected multi-terminal DC transmission infrastructure for integration of offshore wind energy

第一年是研究生文凭和研究和行业准备。这项工作旨在为电力系统开发先进的计算模型，包括适合解决最优潮流问题的模型。将为基于vsc的HVDC链路开发模型，这些链路可用于形成连接多个风力发电场的多终端超级电网。最优潮流问题是一个复杂的非线性优化问题，尤其对于规模较大的系统来说，这是一个相当艰巨的任务，因此，本项目的主要方法贡献之一是开发合适的近似，如线性化方法，以减少最优潮流问题的计算支出，同时在规模较大的系统中保持其可追溯性。该项目还将通过解决多个最优功率流问题实例，在特定的规划时间尺度（例如24小时）内规划海上风电场的运行，从而实施合适的提前一天运行规划框架。然后将规划框架实施到通过多终端HVDC超级电网连接的多个风力发电场，以提供更好的电力调节和更稳定、可靠的运行，即使在紧急情况下，如特定地区的供应中断。这些额外的操作灵活性对于未来海上风能资源的可持续增长和整合是必要的，例如在英国，符合国家电网的未来能源情景（FES）预测。

1st year is the PG Diploma and research and Industry preparationThis work will aim to develop advanced computational models for power systems including models that are suitable for solving optimal power flow problem. Models will be developed for VSC-based HVDC links which could be used to form multi-terminal supergrids for connecting multiple wind farms. The optimal power flow problem is a complex nonlinear optimisation problem which can be quite tasking for especially larger scale systems and as such one of the main methodological contributions in this project is to develop suitable approximations such as linearisation methods for reducing the computational expenditure of the optimal power flow problem and at the same time maintain its tractability when scaled up for larger systems. The project will also involve implementation of a suitable day-ahead operational planning framework by solving multiple instances of optimal power flow problem to plan the operation of offshore wind farms within a specific planning timescale (say 24 hours). The planning framework is then implemented to multiple wind farms connected via a multi-terminal HVDC supergrid to provide better power regulation and a more stable, reliable operation even after emergencies such as loss of supply in a specific region. These added flexibilities of operation are necessary for a sustainable growth and integration of offshore wind resource in the future for example in the UK in line with National Grid's Future Energy Scenarios (FES) projections.