Control of Parallel Connected Power Converters for Low Voltage Microgrid—Part II: Dynamic Electrothermal Modeling

Wang, Huanhuan; Khambadkone, A.M.; Yu, Xiaoxiao

doi:10.1109/tpel.2010.2087394

Cited by 66 publications

(36 citation statements)

References 21 publications

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“…In [308], an approach for the control of a microgrid with VSC-interfaced DER is proposed to operate in grid-connected and islanded modes, as well as to provide a smooth transition between the two modes. In [309], a dynamic electro-thermal model is proposed that can be simulated with the power electronic circuit simulator and is used to estimate the transient junction temperature of the semiconductor devices. In this approach, the resulting junction temperature is used to facilitate the power sharing between parallelconnected converters.…”

Section: Control Of Power Electronic Convertersmentioning

confidence: 99%

State of the Art in Research on Microgrids: A Review

et al. 2015

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The significant benefits associated with microgrids have led to vast efforts to expand their penetration in electric power systems. Although their deployment is rapidly growing, there are still many challenges to efficiently design, control, and operate microgrids when connected to the grid and also when in islanded mode, where extensive research activities are underway to tackle these issues. It is necessary to have an across-the-board view of the microgrid integration in power systems. This paper presents a review of issues concerning microgrids and provides an account of research in areas related to microgrids, including distributed generation, microgrid value propositions, applications of power electronics, economic issues, microgrid operation and control, microgrid clusters, and protection and communications issues.

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Section: Control Of Power Electronic Convertersmentioning

confidence: 99%

State of the Art in Research on Microgrids: A Review

et al. 2015

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“…Finally, in the tertiary control loop, typically, the EMS is implemented with the purpose of achieving optimal operation in the MG as well as congestion management [44]. Additionally, at the lowest level, an internal (inner) control loop is usually implemented to regulate the currents and voltages at the input/output of the power converters located along with the MG [45]- [47]. The latter is usually called zero control level, and it is typically implemented using resonant controllers [48]- [51], controllers implemented in a synchronous rotating d-q frame [52], [53], predictive controllers [54], [55], etc.…”

Section: Hierarchical Control System Typically Utilised In Microgrmentioning

confidence: 99%

Distributed Control Strategies for Microgrids: An Overview

et al. 2020

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There is an increasing interest and research effort focused on the analysis, design and implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is claimed that distributed controllers have several advantages over centralised control schemes, e.g., improved reliability, flexibility, controllability, black start operation, robustness to failure in the communication links, etc. In this work, an overview of the state-of-the-art of distributed cooperative control systems for isolated microgrids is presented. Protocols for cooperative control such as linear consensus, heterogeneous consensus and finitetime consensus are discussed and reviewed in this paper. Distributed cooperative algorithms for primary and secondary control systems, including (among others issues) virtual impedance, synthetic inertia, droopfree control, stability analysis, imbalance sharing, total harmonic distortion regulation, are also reviewed and discussed in this survey. Tertiary control systems, e.g., for economic dispatch of electric energy, based on cooperative control approaches, are also addressed in this work. This review also highlights existing issues, research challenges and future trends in distributed cooperative control of microgrids and their future applications.

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“…As the mutual heating is not modeled in the temperature estimation, the shown inaccuracy occurs. The solve the problem a more complex thermal model can be used as described in [27].…”

Section: B Thermal Modelmentioning

confidence: 99%

Thermal-based finite control set model predictive control for IGBT power electronic converters

Falck

Andresen

Liserre

2016

2016 IEEE Energy Conversion Congress and Exposition (ECCE)

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Abstract-Thermal cycling is one of the main sources of aging and failure in power electronics. A possibility to reduce the thermal stress of semiconductors is to control the losses occurring in the semiconductor devices with the target to reduce the thermal cycles. This approach is known as active thermal control. The hardest limit of the existing active thermal control approaches is that they do not offer a general framework where the optimal switching sequence is selected in order to fulfill the applications demand and reduce the thermal stress in specific semiconductors. The goal is to achieve the minimum thermal stress for the best possible overall performance. For this purpose finite control-set model predictive control (FCS-MPC) seems the optimal approach because it allows including of non-linear thermal and lifetime related models into the control law. A precise control of the thermal stress in the semiconductors can be achieved as the optimal switching vector is directly applied to the physical system. This allows to avoid overrating of the used module or to increase its lifetime. In the paper the approach is proven using simulation and experimental results.

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Control of Parallel Connected Power Converters for Low Voltage Microgrid—Part II: Dynamic Electrothermal Modeling

Cited by 66 publications

References 21 publications

State of the Art in Research on Microgrids: A Review

State of the Art in Research on Microgrids: A Review

Distributed Control Strategies for Microgrids: An Overview

Thermal-based finite control set model predictive control for IGBT power electronic converters

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