Special Issue “Intelligent Control in Energy Systems”

Dounis, Anastasios I.

doi:10.3390/en12153017

Cited by 5 publications

(5 citation statements)

References 28 publications

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“…AI is being implemented in various fields. Its integration into ESSs for EVs has only recently begun to gain significance within the past decade [26]. Contemporary advancements in technology and manufacturing materials dedicated to batteries and technical aspects of managing such systems during their life cycle have favored the implementation of AI in this field [6].…”

Section: Methodsmentioning

confidence: 99%

Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles

Miraftabzadeh,

Longo,

Di Martino

et al. 2024

Electronics

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The integration of Artificial Intelligence (AI) in Energy Storage Systems (ESS) for Electric Vehicles (EVs) has emerged as a pivotal solution to address the challenges of energy efficiency, battery degradation, and optimal power management. The capability of such systems to differ from theoretical modeling enhances their applicability across various domains. The vast amount of data available today has enabled AI to be trained and to predict the behavior of complex systems with a high degree of accuracy. As we move towards a more sustainable future, the electrification of vehicles and integrating electric systems for energy storage are becoming increasingly important and need to be addressed. The synergy of AI and ESS enhances the overall efficiency of electric vehicles and plays a crucial role in shaping a sustainable and intelligent energy ecosystem. To the best of the authors’ knowledge, AI applications in energy storage systems for the integration of electric vehicles have not been explicitly reviewed. The research investigates the importance of AI advancements in energy storage systems for electric vehicles, specifically focusing on Battery Management Systems (BMS), Power Quality (PQ) issues, predicting battery State-of-Charge (SOC) and State-of-Health (SOH), and exploring the potential for integrating Renewable Energy Sources with EV charging needs and optimizing charging cycles. This study examined all topics to identify the most commonly used methods, which were analyzed based on their characteristics and potential. Future trends were identified by exploring emerging techniques introduced in recent literature contributions published since 2017.

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Section: Methodsmentioning

confidence: 99%

Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles

Miraftabzadeh,

Longo,

Di Martino

et al. 2024

Electronics

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“…To overcome these issues, there is a different class of control techniques, called intelligent control, that employ artificial intelligence (AI)-based techniques to build the desired control strategy using a vast volume of information. Intelligent control systems are especially suitable when no mathematical model is available [101], when the existing model is too complex, or the system lacks the required observability.…”

Section: ) Intelligent Controlmentioning

confidence: 99%

Review of Wide-Area Controllers for Supporting Power System Stability

et al. 2023

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Countries around the world are transitioning from conventional power systems dominated by synchronous generators towards low-carbon resources, characterized by high levels of converter-interfaced generators (CIGs). With this transformation, hundreds or even thousands of fast power electronic devices will be added to the grid as CIG penetration increases, thus making the system dynamic response progressively faster and more complex. This future scenario poses significant challenges in power system stability and control. To sustain power system stability in future power systems and achieve a seamless transition, we need to depart from current control practices based on decentralized and stand-alone local control actions and begin to explore new methods. A promising technology to overcome control complexities and underlying stability issues in future low-inertia power systems are wide area control (WAC). Within this technology, the control is no longer based on a purely localized tasks but rather a set of coordinated actions across wide areas in which interplant communication plays a key role. This paper presents the state of the art of existing research efforts in the field of WAC strategies for maintaining stability in large-scale low-inertia power systems of the future. We present different WAC solutions that have been put forward hitherto, we put these control strategies into context, classify them, and finally relate them to each other. We also raise open questions and challenges that need to be addressed in order to ensure a secure transition towards power systems dominated by CIGs. INDEX TERMS Power system control, power system stability, time delays, telecommunication issues, widearea measurement systems (WAMSs), wide-area power systems (WAPSs), wide-area control (WAC), power system control architecture, control techniques.

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“…Figure 12a shows the concentration of the nodes, where there are many medium-sized nodes. The three most outstanding nodes include a widely cited research article [30], a review with few but very related citations [31], and a summary of a Special Issue that has no citations, although its author does have strong collaborative links [32]. The three nodes are:…”

Section: Smart Grid Communitymentioning

confidence: 99%

“…• "A comprehensive review of operation and control, maintenance and lifespan management, grid planning and design, and metering in smart grids" with three citations [31]. • "Special Issue Intelligent control in energy systems" without citations [32].…”

Section: Smart Grid Communitymentioning

confidence: 99%

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Energies and Its Worldwide Research

et al. 2020

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Energy efficiency and management is certainly one of the key drivers of human progress. Thus, the trends in the energy research are a topic of interest for the scientific community. The aim of this study is to highlight global research trends in this field through the analysis of a scientific journal indexed exclusively in the energy and fuels category. For this purpose, a journal has been selected that is in the center of the category considering its impact factor, which is only indexed in this category and of open access, Energies of the publisher MDPI. Therefore, a bibliometric analysis of all the contents of the journal between 2008 and 2020, 13,740 documents published, has been carried out. Analyzing the articles that are linked to each other by their citations, 14 clusters or research topics have been detected: smart grids; climate change–electric energy community; energy storage; bioenergy sources; prediction algorithms applied to power; optimization of the grid link for renewable energy; wind power; sustainability of power systems; hydrocarbon improvements; conversion of thermal/electrical energy; electric motor advancements; marine renewable energy; hydropower and energy storage; and preventive techniques in power transformers. The main keywords found were electric vehicle, renewable energy, microgrid, smart grid, and energy efficiency. In short, energy research remains necessary to meet the future challenge of sustainable energy with high efficiency and the exploration of new renewable resources, all for increasingly sustainable cities.

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Special Issue “Intelligent Control in Energy Systems”

Cited by 5 publications

References 28 publications

Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles

Exploring the Synergy of Artificial Intelligence in Energy Storage Systems for Electric Vehicles

Review of Wide-Area Controllers for Supporting Power System Stability

Energies and Its Worldwide Research

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