Automatic Validation of Converter Behaviour According to Grid Codes, and Optimisation of Their Behaviour
Authors
Term
4. term
Education
Publication year
2024
Submitted on
2024-05-30
Abstract
This master's thesis aims to develop an optimisation method to optimise the parameters for an inverter-based source to achieve responses that comply with the grid codes to automate the process of tuning. The optimisation method is set up with a surrogate optimisation engine in Python, an electrical grid in PSCAD, cost functions that represent the responses numerically, and a weighted sum utility function which is a method to solve the multiple-objective optimisation problem. Different investigations have been conducted on different parts of the optimisation process to improve the results of the optimisation. The parameters have been optimised for different grid strengths with different procedures. Different sets of optimised values for a grid with a short-circuit ratio of three are validated by using a nine-bus grid. The results of validation showed the responses complied with the grid codes. In conclusion, it has been shown to be possible to design cost functions which can be used in an optimisation engine to optimise the responses towards grid code compliance.
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