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

第一年是PG文凭和研究与工业准备这项工作的目的是开发电力系统的高级计算模型，包括适合于解决最优潮流问题的模型。将为基于VSC的高压直流输电链路开发模型，这些模型可用于形成连接多个风电场的多端超级电网。最优潮流问题是一个复杂的非线性优化问题，特别是对于规模更大的系统，它的任务可能相当繁重，因此，本项目的主要方法学贡献之一是开发适当的近似方法，如线性化方法，以减少最优潮流问题的计算开销，同时保持其在较大系统中放大时的易处理性。该项目还将通过解决多个最优潮流问题来实施适当的提前一天的运营规划框架，以在特定的规划时间表(例如24小时)内规划海上风力发电场的运营。然后，该规划框架被实施到通过多端高压直流超级电网连接的多个风电场，以提供更好的电力监管和更稳定、更可靠的运行，即使在特定地区发生紧急情况时也是如此。这些增加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，与国家电网的未来能源情景(FES)预测保持一致。

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.