Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop

Zerk, Abdallah El; Ouassaid, Mohammed

doi:10.3390/en16052244

Cited by 8 publications

(6 citation statements)

References 21 publications

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“…To reduce the danger of battery‐related events, it addresses safety issues such as ventilation, thermal management, fire protection, and electrical system design (Hussain et al, 2023). IEC 61850 : This global standard outlines a communication protocol for incorporating intelligent electronic devices (IEDs) in power systems, including microgrids (El Zerk & Ouassaid, 2023). It monitor, manage, and safeguard enables effectively monitoring, managing, and safeguard various microgrid infrastructure components, such as LIB systems. IEC 61727 : This standard offers instructions for evaluating the power quality traits of grid‐connected systems, including those that incorporate energy storage devices.…”

Section: Battery Standardsmentioning

confidence: 99%

“… IEC 62619 : Developed by the International Electrotechnical Commission (IEC), this international standard specifies safety standards for secondary lithium‐ion cells and batteries used in energy storage systems. It encompasses testing methodologies as well as elements, including electrical, mechanical, and thermal requirements (El Zerk & Ouassaid, 2023). ISO 30121 : This standard, “Smart Grid User Interface Requirements for Lithium‐Ion Energy Storage Systems,” specifies requirements for the user interface of energy storage devices, such as LIBs, in smart grid applications.…”

Section: Battery Standardsmentioning

confidence: 99%

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A review of battery state of charge estimation and management systems: Models and future prospective

Hussein,

Aghmadi,

Abdelrahman

et al. 2024

WIREs Energy & Environment

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Batteries are considered critical elements in most applications nowadays due to their power and energy density features. However, uncontrolled charging and discharging will negatively affect their functions and might result in a catastrophic failure of their applications. Hence, a battery management system (BMS) is mandated for their proper operation. One of the critical elements of any BMS is the state of charge (SoC) estimation process, which highly determines the needed action to maintain the battery's health and efficiency. Several methods were used to estimate the Lithium‐ion batteries (LIBs) SoC, depending on the LIBs model or any other suitable technique. This article provides a critical review of the existing SoC estimation approaches and the main LIB models with their pros and cons, their possibility to integrate with each other's for precise estimation results, and the applicability of these techniques in electric vehicles and utility applications with the commonly used standards and codes in these sectors. Moreover, this study will also explore a future framework for integrating digital twins (DTs) with BMSs for improved and advanced management. Based on this comprehensive review, it can be concluded that merging the model‐based estimation techniques with the data‐driven approaches with their promising development to determine the dynamic patterns inside the battery can efficiently achieve precise estimation results while reducing the complexity of these models. This integration will align also with the integration of digital twin technology to provide complete and accurate supervision for the BMSs.This article is categorized under: Emerging Technologies > Energy Storage Emerging Technologies > Digitalization Energy and Power Systems > Distributed Generation

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Section: Battery Standardsmentioning

confidence: 99%

Section: Battery Standardsmentioning

confidence: 99%

A review of battery state of charge estimation and management systems: Models and future prospective

Hussein,

Aghmadi,

Abdelrahman

et al. 2024

WIREs Energy & Environment

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“…Otherwise, the ESs could be used to decentralize battery rather than reduce ESS needs. Recent literature reviews of µG control and management algorithms can be found in [86][87][88][89][90][91][92][93][94][95]. Nevertheless, solutions designed for 3Ø-µGs are not always applicable to 1Ø-µGs.…”

Section: Difficulties With Pq In 1ø-µgsmentioning

confidence: 99%

Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review

Alhaiz,

Alsafran,

Almarhoon

2023

Energies

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Renewable distributed generators (RDGs) have made inroads in recent power systems owing to the environmental effect of traditional generators and their high consumption of electric energy. The widespread use of RDGs has been a recent trend in numerous nations. The integration complexity and the intermittent nature of RDGs can undermine the security and stability of microgrids (µGs). In order to guarantee the effectiveness, dependability, and quality of the electricity delivered, appropriate control methods are necessary. RDGs are being included in single-phase microgrids (1Ø-µGs) to generate energy closer to the user. The creation of low-voltage µGs allows for increased energy efficiency and improved electrical supply dependability. Nevertheless, the combined power pumped by DGs might create power quality (PQ) difficulties, especially during off-grid operations. The three biggest problems with PQ are reactive-power swapping, voltage and frequency (VαF) variations, and current and voltage (IαV) harmonic falsification associated with 1Ø-µGs; these conditions may affect the operation of µGs. The designed and implemented (primary–secondary control systems) in RDGs are the prevalent strategy discussed in the literature for mitigating these PQ difficulties. Furthermore, emerging grid innovations like the electrical spring offer viable alternatives that might reduce some problems through decentralized operation. Although several research studies have addressed PQ concerns in 3Ø-µGs, not all of these solutions are immediately applicable to their 1Ø equivalents. In this paper, the state of the art and a performance comparison of several PQ enhancement strategies of µGs is discussed. Additionally, the primary difficulties and several PQ approach tactics are highlighted. All vital features from high-quality published articles and new dimensions in this field are presented for mitigating PQ difficulties in 1Ø-µGs.

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“…This enables annual energy savings of 3 to 6%. Practical experience has shown that energy savings can be up to 40% (El Zerk & Ouassaid, 2023).…”

Section: Proposed System Approachmentioning

confidence: 99%

Energy efficient smart home heating system using renewable energy source with fuzzy control design

Simon,

Róbert Sánta

2023

Decis. Mak. Appl. Manag. Eng.

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This research article presents an energy- efficient smart home heating system that uses a renew-able energy source and incorporates fuzzy control design. The objective of the study is to design a heating system that optimizes energy consumption while providing a comfortable indoor temperature. The main methods used in the study include the integration of a renewable energy source, such as solar energy or geothermal energy, with a fuzzy control system that adjusts the heating power based on indoor and outdoor temperature, humidity, and occupancy. The main results of the study show that the proposed heating system can reduce energy consumption by up to 40% compared to conventional heating systems, while maintaining a comfortable indoor temperature. The fuzzy control system provides precise control of the heating power and ensures efficient use of the renewable energy source. The main conclusion of the article is that the proposed smart home heating system is a viable solution for reducing energy consumption and promoting a sustainable lifestyle, especially in areas with abundant renewable energy sources.

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Real-Time Fuzzy Logic Based Energy Management System for Microgrid Using Hardware in the Loop

Cited by 8 publications

References 21 publications

A review of battery state of charge estimation and management systems: Models and future prospective

A review of battery state of charge estimation and management systems: Models and future prospective

Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review

Energy efficient smart home heating system using renewable energy source with fuzzy control design

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