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Dynamic Modeling of Microgrids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (22 March 2020) | Viewed by 10161

Special Issue Editors


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Guest Editor
Department of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy
Interests: microgrids; power systems; distribution systems

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering (DEI), Politecnico di Bari, Bari, Italy
Interests: power system analysis; distribution systems; microgrids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Dynamic Security Assessment (DSA) in distribution networks is becoming more and more difficult due to the increasing penetration of MicroGrids (MGs). In fact, the already implemented DSA software adopts time domain simulators that cannot take into account microgrid interactions with the distribution network due to the non-integration of microgrid models. It has therefore acquired the need to integrate microgrid models into DSA simulators. In order to accurately investigate transients of interest, these models need equipment models represented over a significant time span.

In this Special Issue, we invite the original submission of new research outcomes that highlight innovations in the areas of simulation, modeling, and the analysis of transients and dynamics in microgrids.

Topics of interests include but are not limited to the following:

  • New dynamic modelling techniques of microgrids with or without interactions with the utility grid;
  • Dynamic models of microgrid components;
  • Dynamic models of grid-connected or isolated microgrids;
  • Dynamic behavior of microgrids and interactions with the utility grid;
  • Dynamic behavior of isolated microgrids;
  • Stability analysis of grid-connected and isolated microgrids;
  • Dynamic security assessment of microgrids;
  • Modelling and control techniques for enhancing the dynamic performances of microgrids.

Prof. Enrico De Tuglie
Dr. Alessia Cagnano
Guest Editors

Manuscript Submission Information

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Published Papers (3 papers)

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Research

17 pages, 4527 KiB  
Article
An MPC Approach for Grid-Forming Inverters: Theory and Experiment
by Alessandro Labella, Filip Filipovic, Milutin Petronijevic, Andrea Bonfiglio and Renato Procopio
Energies 2020, 13(9), 2270; https://doi.org/10.3390/en13092270 - 4 May 2020
Cited by 5 | Viewed by 3598
Abstract
Microgrids (MGs) interest is growing very fast due to the environment urgency and their capability to integrate renewable energy in a flexible way. In particular, islanded MGs in which distributed energy resources (DERs) are connected to the infrastructure with power electronic converters have [...] Read more.
Microgrids (MGs) interest is growing very fast due to the environment urgency and their capability to integrate renewable energy in a flexible way. In particular, islanded MGs in which distributed energy resources (DERs) are connected to the infrastructure with power electronic converters have attracted the interest of many researchers of both academia and industry because management, control and protection of such systems is quite different from the case of traditional networks. According to their operation mode, MGs that power electronic converters can be divided into grid-forming, grid-feeding and grid-supporting inverters. In particular, grid forming inverters are asked to impose voltage and frequency in the MG. This paper aims to propose a model predictive control (MPC) based approach for grid-forming inverters in an islanded MG. The MPC strategy is implemented because of its capability to define the optimal control actions that contemporarily track the desired reference signals and accounts for equality and inequality constraints. The overall problem formulation (objective function and relevant constraints) is described step by step and considers the specificity of the considered DC source. The proposed approach allows for the obtaining of very good results in terms of readiness against disturbances, even if it requires being fed only by local measurements. In order to validate the developed method, this paper proposes an experimental validation of the designed MPC controller in order to show its correct operation on a real system in a power hardware in the loop set-up using a rapid control prototyping approach. Full article
(This article belongs to the Special Issue Dynamic Modeling of Microgrids)
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18 pages, 3107 KiB  
Article
MAS-Based Decentralized Coordinated Control Strategy in a Micro-Grid with Multiple Microsources
by Shiyun Xu, Huadong Sun, Zhanqiang Zhang, Qiang Guo, Bin Zhao, Jingtian Bi and Bo Zhang
Energies 2020, 13(9), 2141; https://doi.org/10.3390/en13092141 - 30 Apr 2020
Cited by 9 | Viewed by 2181
Abstract
In this paper, a decentralized coordinated control method based on multi-agent system is proposed to improve the voltage stability of micro-grid. In lower-level agents, the decentralized control is designed as double-loop controllers for the inverter of each distributed energy resource, including an outer-loop [...] Read more.
In this paper, a decentralized coordinated control method based on multi-agent system is proposed to improve the voltage stability of micro-grid. In lower-level agents, the decentralized control is designed as double-loop controllers for the inverter of each distributed energy resource, including an outer-loop power controller based on droop control and an inner-loop voltage/current controller based on fractional order proportion-integral-derivative (PID). In upper-level agents, the distributed coordinated control is designed to make voltage consensus and proportional power sharing of all distributed energy resources. Since each distributed coordinated control only requires its own and neighboring information, the communication bandwidth can be saved. The simulation results have verified the effectiveness in terms of power sharing, voltage stability, and suppressing circulation current. Full article
(This article belongs to the Special Issue Dynamic Modeling of Microgrids)
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28 pages, 8785 KiB  
Article
A Building Block Method for Modeling and Small-Signal Stability Analysis of the Autonomous Microgrid Operation
by Bojan Banković, Filip Filipović, Nebojša Mitrović, Milutin Petronijević and Vojkan Kostić
Energies 2020, 13(6), 1492; https://doi.org/10.3390/en13061492 - 21 Mar 2020
Cited by 9 | Viewed by 3688
Abstract
The task of the whole microgrid state-space matrix creation is usually done in a preferred textual programming language, and it presents a complicated, time-consuming, and error-prone job for a researcher without good coding practices. To ease the modeling task, contribute to the adaptation [...] Read more.
The task of the whole microgrid state-space matrix creation is usually done in a preferred textual programming language, and it presents a complicated, time-consuming, and error-prone job for a researcher without good coding practices. To ease the modeling task, contribute to the adaptation of new microgrid structures, control algorithms, and devices, and to improve the flexibility of the model, a graphical element building block method is proposed in this paper. With the proposed approach model creation of the whole microgrid is reduced to the creation of the individual element state-space model that is linked with other elements in a logical way with a graphical connection. Elements are then grouped into meaningful wholes and encapsulated with the appropriate graphical user interface that enables easy parameter modification and model complexity change. More detailed DC/DC and DC/AC models of converters than those in the literature concerning microgrid stability are presented in this paper. Those converters are incorporated in a microgrid, whose model is created using the proposed approach in MATLAB/Simulink. The dynamic response examination of the model remains easy, just as with all Simulink models, while for the linear system analysis, a specialized toolbox is used. Full article
(This article belongs to the Special Issue Dynamic Modeling of Microgrids)
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