Abstract
ABSTRACT Digital–physical hybrid simulation (DPHS) technology provides an efficient means to investigate the complex interaction mechanism and dynamic behaviour of a modern power grid integrated with numerous power electronic devices. However, its further development and wide application are obstructed by many factors, especially the large investment of the physical subsystem. This paper presents a comprehensive parameter optimisation method for the development of the DPHS platform based on tools from similarity theory and nonlinear programming theory. The parameter optimisation model is formulated to minimise the one-time investment of the primary equipment of the physical subsystem and the constraints to guarantee the desired performance of the hybrid simulation platform derived according to similarity criteria. An MMC-HVDC project is taken as an example to specifically explain the implementation of the proposed method with the focus on the solution of similarity criteria. Results obtained from steady and dynamic simulation show that the proposed approach is effective for improving the technical and economic performance of a hybrid simulation platform.
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