Abstract

DC electric power distribution is becoming popular due to the proliferation of renewable sources and storage elements in applications such as electric vehicles, ships, aircrafts, microgrids, etc. These systems are characterized by a high integration of power electronic converters. From a system-level perspective, it would be desirable to design this kind of systems using commercial-off-the shelf converters. However, in general, the manufacturers do not provide a behavioral model of the devices in order to analyze the dynamic behavior of the interconnected system before the actual implementation. In the literature, several blackbox modeling techniques have been proposed to overcome this lack of information. This paper proposes the integration of dynamic weighting functions to the polytopic model in order to improve the accuracy of the behavioral models when the input variables change sharply. A boost converter is used as case study and the performance of the proposed model is compared with the most relevant techniques that can be found in the literature.

Highlights

  • Power Electronic Converters (PEC) are an enabling technology in the integration of distributed energy sources and storage elements in Electric Power Distribution Systems (EPDS)

  • The same conclusions can be extrapolated to other EPDS such as those used in electric vehicles, data centers, etc

  • In this paper the concept of dynamic weighting function has been introduced. This method aims to approximate the dynamic of the state variables by filtering the input-output variables of the model with a transfer function designed from the information of the poles of the system

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Summary

INTRODUCTION

Power Electronic Converters (PEC) are an enabling technology in the integration of distributed energy sources and storage elements in Electric Power Distribution Systems (EPDS). The dynamic decoupling capability of the PECs has encouraged the use of a hierarchical structure in the EPDS [2] In this structure the system consists of autonomous subsystems, named nano/microgrids, which can work in grid-connected or in islanded modes. It is desirable to design dc microgrids with COTS converters in order to reduce the cost and time-to-market of the installations In these cases, generally, the information available about the converters is very limited due to confidentiality issues. The different blackbox approaches to model dc-dc PECs are reviewed and their capabilities and limitations are highlighted using a boost converter. The rest of the paper is organized as follows: in Section II the different blackbox modeling structures for dc-dc PECs are reviewed. The most important part in the design of a blackbox model is the selection of the model structure, which entails a trade-off between complexity and capabilities

LINEAR STRUCTURES
DYNAMIC NONLINEAR STRUCTURES
CASE STUDY
Findings
CONCLUSION
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