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Advanced Control in Microgrid Systems 2021

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 (20 January 2022) | Viewed by 5896

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

We are inviting submissions to a new Special Issue of Energies on the subject area of “Advanced Control in Microgrid Systems 2021”. With the increasing integration of renewable energy and the development of a smart grid, the topic of microgrids has attracted a lot of attention in recent years.

Microgrids are distributed electric power systems that autonomously coordinate power generations and demands. Modern microgrids often include renewable energy generations, such as wind and solar, supported by distributed energy storage systems. The distributed nature of microgrids and the uncertain, intermittent nature of power demands and renewable energy generations pose significant challenges in the operation of microgrids. Advanced methods of modern control play an important role in achieving a reliable, robust, secure, and cost-effective functioning of microgrid systems. Researchers and engineers worldwide are working together to develop novel and efficient tools of control in microgrids. This Special Issue is focused on new developments in the field of advanced control in microgrid systems.

Potential topics include but are not limited to the following:

Model predictive control of microgrid systems;

Robust control of microgrid systems;

Optimization of microgrids;

Control of battery energy storage systems;

Sliding mode control of microgrid systems;

Multiagent systems approach to control of microgrids;

Advanced control systems for market-oriented energy storage dispatch;

Control of microgrid systems with high penetrations of wind power;

Control of microgrid systems with high penetrations of solar power;

Optimization and control of microgrid systems with thermostatically controlled loads;

Minimizing the energy cost for microgrid systems;

Control of microgrid systems with communication delays.

Prof. Dr. Andrey V. Savkin
Guest Editor

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

  • Microgrids
  • Energy storage systems
  • Modern control
  • Robust control
  • Sliding mode control
  • Optimization of microgrids
  • Renewable generation
  • Wind energy
  • Solar energy
  • Nonlinear control
  • Optimal control
  • Smart grid
  • Microgrids with thermostatically controlled loads
  • Market-oriented energy storage dispatch

Published Papers (2 papers)

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Research

26 pages, 7321 KiB  
Article
Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm
by Mohammed Said Jouda and Nihan Kahraman
Energies 2022, 15(3), 1043; https://doi.org/10.3390/en15031043 - 30 Jan 2022
Cited by 8 | Viewed by 2454
Abstract
The microgrid has two main steady-state modes: grid-connected mode and islanded mode. The microgrid needs a high-performance controller to reduce the overshoot value that affects the efficiency of the network. However, the high voltage value causes the inverter to stop. Thus, an improved [...] Read more.
The microgrid has two main steady-state modes: grid-connected mode and islanded mode. The microgrid needs a high-performance controller to reduce the overshoot value that affects the efficiency of the network. However, the high voltage value causes the inverter to stop. Thus, an improved power-sharing response to the transfer between these two modes must be insured. More important points to study in a microgrid are the current sharing and power (active or reactive) sharing, besides the match percentage of power sharing among parallel inverters and the overshoot of both active and reactive power. This article aims to optimize the power response in addition to voltage and frequency stability, in order to make this network’s performance more robust against external disturbance. This can be achieved through a self-tuning control method using an optimization algorithm. Here, the optimized droop control is provided by the H-infinity (H∞) method improved with the artificial bee colony algorithm. To verify the results, it was compared with different algorithms such as conventional droop control, conventional particle swarm optimization, and artificial bee colony algorithms. The implementation of the optimization algorithm is explained using the time domain MATLAB/SIMULINK simulation model. Full article
(This article belongs to the Special Issue Advanced Control in Microgrid Systems 2021)
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13 pages, 1903 KiB  
Article
Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components
by Hirotaka Takano, Ryosuke Hayashi, Hiroshi Asano and Tadahiro Goda
Energies 2021, 14(21), 7442; https://doi.org/10.3390/en14217442 - 08 Nov 2021
Cited by 11 | Viewed by 2247
Abstract
Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the [...] Read more.
Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in design and management of the microgrids. This paper presents a problem framework and its solution method that calculates the optimal size of the BESSs in a microgrid, considering their cooperative operations with the other components. The proposed framework is formulated as a bi-level optimization problem; however, based on the Karush–Kuhn–Tucker approach, it is regarded as a type of operation scheduling problem. As a result, the techniques developed for determining the operation schedule become applicable. In this paper, a combined algorithm of binary particle swarm optimization and quadratic programming is selected as the basis of the solution method. The validity of the authors’ proposal is verified through numerical simulations and discussion of their results. Full article
(This article belongs to the Special Issue Advanced Control in Microgrid Systems 2021)
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