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Energies
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Power Management of Microgrids
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Power Management 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 (1 May 2021) | Viewed by 8387

Special Issue Editors

Prof. Dr. Ambrish Chandra

E-Mail Website
Guest Editor
Electrical Engineering Department, Ecole de Technologie Superieure (ETS), Montreal, QC H3C 1K3, Canada
Interests: UPQC; power quality; harmonic compensation; active power filters; statcom; dstatcom; renewable energy; wind energy; solar energy; integration with grid
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hua Geng

E-Mail Website
Guest Editor
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing 100084, China
Interests: power electronics; renewable energy network system; wind power plant; data-driven control on energy systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microgrids are small-scale power grids comprised of low and medium voltage distributed generators (DG), storage systems, and different kinds of loads. They provide benefits with respect to reliability, loss reduction, carbon emission reduction, etc. They can operate either in interconnected and/or in isolated modes from the main power grid. In grid-connected mode, they provide support in peak demand and support restorations after faults, and in isolated mode, they behave as small-scale power grids. For this new technology, power management and stability are the emerging issues to be tackled. Furthermore, issues that are related to mechanisms, configurations, control, operation, and protection, as well as, standardization, should be taken into consideration in the new development to make this new technology more compact, efficient, and easy to generalize for all energy applications.

This Special Issue aims to report the latest advances and future trends of key techniques relating to power management issues in microgrids. Topics of interest include, but are not limited to, the following:

  • Modeling and analysis of microgrids concerning power management issues;
  • Control architecture and strategies for microgrids in both modes of operation: grid- connected and islanded modes;
  • Optimization of microgrids: efficiency, economic factors, etc.;
  • Intelligent control for power management of microgrids;
  • Multi-objective power management strategy of microgrids;
  • New trends in power management issues for microgrid applications;
  • Stability issues in microgrids;
  • Centralized and decentralized control for microgrids;
  • Synchronization in microgrids.

Prof. Dr. Ambrish Chandra
Prof. Dr. Hua Geng
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Power management
  • Microgrid
  • Distributed generation
  • Power optimization
  • Multi-objective control

Published Papers (4 papers)

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Research

20 pages, 3643 KiB  
Article
Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control
by Shiyao Qin, Yuyang Chang, Zhen Xie and Shaolin Li
Energies 2021, 14(12), 3612; https://doi.org/10.3390/en14123612 - 17 Jun 2021
Cited by 8 | Viewed by 1887
Abstract
In the case of a high penetration rate of wind energy conversion systems, the conventional virtual inertia control of permanent magnet synchronous generators (PMSG) has an insufficient support capability for system frequency, leading to an unstable system frequency and a slower response. Considering [...] Read more.
In the case of a high penetration rate of wind energy conversion systems, the conventional virtual inertia control of permanent magnet synchronous generators (PMSG) has an insufficient support capability for system frequency, leading to an unstable system frequency and a slower response. Considering the finite control set model predictive control has multi-objective regulation capabilities and efficient tracking capabilities, and an improved multi-objective model-predictive control is proposed in this paper for PMSG-based wind turbines with virtual inertia based on its mathematical model. With the prediction model, the optimal control of the current and the frequency of the PMSG-based wind turbines can be obtained. Since the shaft torque changes rapidly under high virtual inertia, shaft oscillation may occur under this scenario. To address this problem, the electromagnetic torque is set as an additional optimization objective, which effectively suppresses the oscillation. Furthermore, based on accurate short-term wind speed forecasting, a dynamic weight coefficient strategy is proposed, which can reasonably distribute the weight coefficients according to the working conditions. Finally, simulations are carried out on a 2 MW PMSG-based wind turbine platform, and the effectiveness of the proposed control strategies is verified. Full article
(This article belongs to the Special Issue Power Management of Microgrids)
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20 pages, 6761 KiB  
Article
Efficiency Optimization Design of L-LLC Resonant Bidirectional DC-DC Converter
by Jing Lu, Xiangqian Tong, Jianwu Zeng, Ming Shen and Jun Yin
Energies 2021, 14(11), 3123; https://doi.org/10.3390/en14113123 - 27 May 2021
Cited by 7 | Viewed by 2188
Abstract
The new type of L-LLC resonant bidirectional DC-DC converter (L-LLC-BDC) has merits of high efficiency, high-power density and wide gain and power ranges, and it is suitable for energy interface between energy storage systems and DC micro grid. However, the resonances are sensitive [...] Read more.
The new type of L-LLC resonant bidirectional DC-DC converter (L-LLC-BDC) has merits of high efficiency, high-power density and wide gain and power ranges, and it is suitable for energy interface between energy storage systems and DC micro grid. However, the resonances are sensitive to the parasitic parameters, which will deteriorate the efficiency. This paper investigates the intrinsic mechanism of parasitic parameters on the L-LLC-BDC operating principle and working characteristics based on the analysis of working modes and resonance tank. By taking the oscillation of parasitic parameters produced in the stage for the freewheeling stage into consideration, a parameter optimization method is proposed to reduce the resonant current oscillation while maintaining the characteristic of the natural soft switching. The experiment results not only validated the proposed parameter optimization design method, but also testified to the improvement of the efficiency through the minimization of the conduction and switching loss. Full article
(This article belongs to the Special Issue Power Management of Microgrids)
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15 pages, 6482 KiB  
Article
Real-Time Implementation of the Predictive-Based Control with Bacterial Foraging Optimization Technique for Power Management in Standalone Microgrid Application
by Félix Dubuisson, Miloud Rezkallah, Hussein Ibrahim and Ambrish Chandra
Energies 2021, 14(6), 1723; https://doi.org/10.3390/en14061723 - 19 Mar 2021
Cited by 8 | Viewed by 1556
Abstract
In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references [...] Read more.
In this paper, the predictive-based control with bacterial foraging optimization technique for power management in a standalone microgrid is studied and implemented. The heuristic optimization method based on the social foraging behavior of Escherichia coli bacteria is employed to determine the power references from the non-renewable energy sources and loads of the proposed configuration, which consists of a fixed speed diesel generator and battery storage system (BES). The two-stage configuration is controlled to maintain the DC-link voltage constant, regulate the AC voltage and frequency, and improve the power quality, simultaneously. For these tasks, on the AC side, the obtained power references are used as input signals to the predictive-based control. With the help of the system parameters, the predictive-based control computes all possible states of the system on the next sampling time and compares them with the estimated power references obtained using the bacterial foraging optimization (BFO) technique to get the inverter current reference. For the DC side, the same concept based on the predictive approach is employed to control the DC-DC buck-boost converter by regulating the DC-link voltage using the forward Euler method to generate the discrete-time model to predict in real-time the BES current. The proposed control strategies are evaluated using simulation results obtained with Matlab/Simulink in presence of different types of loads, as well as experimental results obtained with a small-scale microgrid. Full article
(This article belongs to the Special Issue Power Management of Microgrids)
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25 pages, 10582 KiB  
Article
Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources
by Miloud Rezkallah, Sanjeev Singh, Ambrish Chandra, Bhim Singh and Hussein Ibrahim
Energies 2020, 13(18), 4950; https://doi.org/10.3390/en13184950 - 21 Sep 2020
Cited by 7 | Viewed by 2051
Abstract
Configurations, coordinated controller design and applications of various off-grid systems with distributed energy resources (DERs) for an uninterrupted supply, are presented in this paper. The performances for the optimal operation of a diesel generator (DG) in the presence of nonlinear loads, fuel-savings, voltage [...] Read more.
Configurations, coordinated controller design and applications of various off-grid systems with distributed energy resources (DERs) for an uninterrupted supply, are presented in this paper. The performances for the optimal operation of a diesel generator (DG) in the presence of nonlinear loads, fuel-savings, voltage and frequency regulation, a soft and secure transition among different operating modes, an optimization, and power management control, are validated through simulated results and test results on the prototype to demonstrate the suitability of these configurations with natural energy resources (NERs) for continuous development in remote as well as in isolated locations. Full article
(This article belongs to the Special Issue Power Management of Microgrids)
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