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Advanced Management and Control Strategies for Power Generation Systems and Microgrids

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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (30 July 2021) | Viewed by 10037

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Special Issue Editors

Dr. Azeddine Houari

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Guest Editor

IREENA Laboratory, University of Nantes, 44602 Saint-Nazaire, France
Interests: renewable energy systems; microgrids; distributed generation; power electronics; power quality; system stability; control of power systems; energy management systems
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Prof. Dr. Saad Mekhilef

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Guest Editor

1. School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
2. Power Electronics and Renewable Energy Research Laboratory, Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Interests: power conversion techniques; control of power converters; maximum power point tracking (MPPT); renewable energy; energy efficiency; smart grid; microwave and wireless technologies
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Mohamed MACHMOUM

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Guest Editor

Polytech’Nantes, Laboratoire IREENA, Université de Nantes, 44035 Nantes, France.
Interests: Power Electronics; Renewable Energy Systems; Power Quality; Microgrids; Electrical Architectures of Emr Farms

Special Issue Information

Dear Colleagues,

The Guest Editors are pleased to invite submissions in a Special Issue entitled “Advanced management and control strategies for power generation systems and microgrids.”

The design of advanced control and energy management methodologies is of importance to promote the development of sustainable power generation systems with increased integration of renewable energy sources (RES) and energy storage systems. The objective of this issue is to address challenges related to power quality and stability challenges in power generation systems and microgrids considering both stationary and e-mobility applications. These issues can be worsened due to reduced inertia and limited power capacity of power-electronics dominated systems, RES production intermittency, and load uncertainties. This requires the development of robust control techniques and multiobjective energy management strategies.

Topics of interest include, but are not limited to:

Modeling, stability analysis, and control of renewable energy and storage systems
Assessment and mitigation of power quality problems in power generation units and microgrids
Advanced control solutions for power-electronics dominated systems
Fault-tolerant control for power generation units and microgrids
Hybrid energy systems: sizing optimisation and energy management
Hierarchical control techniques for distributed generation systems

Prof. Azeddine HOUARI
Prof. Dr. Saad Mekhilef
Prof. Dr. Mohamed MACHMOUM
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

Renewable Energy Sources
Microgrids
Distributed Generation Systems
Electric Vehicles
Smart Grids
Photovoltaic
Wind Turbines
Energy Storage Systems
Fuel Cells
Hydrogen
Power Electronic Converters
Power Quality
Stability
Nonlinear Control
Predictive Control
Energy Management Systems
Forecast
Ancillary Services
Optimization
Artificial Intelligence
Metaheuristic Algorithms
Fault-Tolerant Control
Droop Control
Secondary Control

Published Papers (5 papers)

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Research

21 pages, 3559 KiB

Open AccessArticle

Cascaded Centered Moving Average Filters for Energy Management in Multisource Power Systems with a Large Number of Devices

by Ramzi Saidi, Jean-Christophe Olivier, Mohamed Machmoum and Eric Chauveau

Energies 2021, 14(12), 3627; https://doi.org/10.3390/en14123627 - 18 Jun 2021

Viewed by 1404

Abstract

Hybrid systems constitute one of the solutions for supplying isolated applications. Such systems are classically based on clean energy sources. When the renewable energy sources have intermittent productions, they are associated with storage systems. This makes the system economically more interesting. Economically speaking, hybrid energy systems using multiple energy sources are often expensive and their cost must be optimized. This optimization can be done for the system sizing or for its energy management. However, optimizing one does not guarantee the optimization of the other. Indeed, previous studies optimize either the design and apply it with a simple energy management strategy, or the energy management with predetermined sizing supposed optimized, while minimizing the number of sources that contain the hybrid system. In this paper, an energy management and sizing algorithm, applicable to multisource systems, composed of a large number of sources, is proposed. The method is based on a modified centered moving average filters architecture for energy management, which permits one to consider and to automatically balance the forecasting errors in solar and load profiles. The energy management is then limited to a small number of parameters, which are the averaging horizon and weight coefficients. It is then possible to optimize, at the same time, the sizing and the energy management of such power systems. The proposed optimization criterion is based on a techno-economic approach, by considering acquisition and operation costs, as well as the ageing of the different devices. The main novelty of this approach is the use of energy management formulation that is able to manage an architecture with a high number of controlled devices. An original formulation of centered moving average filters also permits one to automatically balance the power bias due to forecasting errors on the renewable resources and the load profile. The method is applied to five devices, including photovoltaic panels, a fuel cell, two batteries with different technologies (Li-ion and lead-acid) and supercapacitors. Full article

(This article belongs to the Special Issue Advanced Management and Control Strategies for Power Generation Systems and Microgrids)

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22 pages, 630 KiB

Open AccessArticle

Uncertainty Cost Functions in Climate-Dependent Controllable Loads in Commercial Environments

by Daniel Losada, Ameena Al-Sumaiti and Sergio Rivera

Energies 2021, 14(10), 2885; https://doi.org/10.3390/en14102885 - 17 May 2021

Cited by 1 | Viewed by 1183

Abstract

This article presents the development, simulation and validation of the uncertainty cost functions for a commercial building with climate-dependent controllable loads, located in Florida, USA. For its development, statistical data on the energy consumption of the building in 2016 were used, along with the deployment of kernel density estimator to characterize its probabilistic behavior. For validation of the uncertainty cost functions, the Monte-Carlo simulation method was used to make comparisons between the analytical results and the results obtained by the method. The cost functions found differential errors of less than 1%, compared to the Monte-Carlo simulation method. With this, there is an analytical approach to the uncertainty costs of the building that can be used in the development of optimal energy dispatches, as well as a complementary method for the probabilistic characterization of the stochastic behavior of agents in the electricity sector. Full article

(This article belongs to the Special Issue Advanced Management and Control Strategies for Power Generation Systems and Microgrids)

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16 pages, 6567 KiB

Open AccessArticle

Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System

by Seydali Ferahtia, Ali Djeroui, Tedjani Mesbahi, Azeddine Houari, Samir Zeghlache, Hegazy Rezk and Théophile Paul

Energies 2021, 14(6), 1660; https://doi.org/10.3390/en14061660 - 17 Mar 2021

Cited by 30 | Viewed by 2741

Abstract

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power. Full article

(This article belongs to the Special Issue Advanced Management and Control Strategies for Power Generation Systems and Microgrids)

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24 pages, 5078 KiB

Open AccessArticle

Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin

by Houssem Rafik Al-Hana Bouchekara, Mohammad Shoaib Shahriar, Muhammad Sharjeel Javaid, Yusuf Abubakar Sha’aban and Makbul Anwari Muhammad Ramli

Energies 2021, 14(5), 1245; https://doi.org/10.3390/en14051245 - 24 Feb 2021

Cited by 9 | Viewed by 1958

Abstract

This paper presents an optimal design for a nanogrid/microgrid for desert camps in the city of Hafr Al-Batin in Saudi Arabia. The camps were designed to operate as separate nanogrids or to operate as an interconnected microgrid. The hybrid nanogrid/microgrid considered in this paper consists of a solar system, storage batteries, diesel generators, inverter, and load components. To offer the designer/operator various choices, the problem was formulated as a multi-objective optimization problem considering two objective functions, namely: the cost of electricity (COE) and the loss of power supply probability (LPSP). Furthermore, various component models were implemented, which offer a variety of equipment compilation possibilities. The formulated problem was then solved using the multi-objective evolutionary algorithm, based on both dominance and decomposition (MOEA/DD). Two cases were investigated corresponding to the two proposed modes of operation, i.e., nanogrid operation mode and microgrid operation mode. The microgrid was designed considering the interconnection of four nanogrids. The obtained Pareto front (PF) was reported for each case and the solutions forming this front were discussed. Based on this investigation, the designer/operator can select the most appropriate solution from the available set of solutions using his experience and other factors, e.g., budget, availability of equipment and customer-specific requirements. Furthermore, to assess the quality of the solutions found using the MOEA/DD, three different methods were used, and their results compared with the MOEA/DD. It was found that the MOEA/DD obtained better results (nondominated solutions), especially for the microgrid operation mode. Full article

(This article belongs to the Special Issue Advanced Management and Control Strategies for Power Generation Systems and Microgrids)

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22 pages, 6687 KiB

Open AccessArticle

An Active FTC Strategy Using Generalized Proportional Integral Observers Applied to Five-Phase PMSG based Tidal Current Energy Conversion Systems

by Zhuo Liu, Azeddine Houari, Mohamed Machmoum, Mohamed-Fouad Benkhoris and Tianhao Tang

Energies 2020, 13(24), 6645; https://doi.org/10.3390/en13246645 - 16 Dec 2020

Cited by 6 | Viewed by 1741

Abstract

In recent years, multi-phase permanent magnet synchronous generators (PMSGs) have become attractive in the field of tidal current energy conversion systems (TCECS) due to their high-power density, reliability, and availability. However, external disturbances and malfunctions in power conversion chains will bring challenges to achieving stable and continuous tidal current energy harnessing. Using generalized proportional integral observers, an active fault-tolerant control (AFTC) strategy is therefore proposed for a five-phase PMSG based TCECS that is subjected to an open switch fault (OSF) in the generator side converter. This proposed AFTC strategy is applied into q-axis current control loops, which contain fault detection and compensation. The fault compensator will be smoothly activated using a sigmoid function once the OSF is detected. Finally, a small-scale power experimental platform emulating the TCECS is established in order to verify the feasibility and efficiency of the proposed FTC strategy. Experiment results show that this AFTC strategy can detect faults rapidly and effectively attenuate torque ripples in the post-fault operation mode. Full article

(This article belongs to the Special Issue Advanced Management and Control Strategies for Power Generation Systems and Microgrids)

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