EMD/HT‐based local fault detection in DC microgrid clusters

Bayati, Navid; Baghaee, Hamid Reza; Savaghebi, Mehdi; Hajizadeh, Amin; Soltani, Mohsen; Lin, Zhengyu

doi:10.1049/stg2.12060

Cited by 17 publications

(3 citation statements)

References 37 publications

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“…Load responsiveness in the context of the IoE equipped with monitoring techniques will be better and thus the benefits of energy conservation will be higher. In fact, load response can support access to various distributed smart devices, thus allowing end prosumers to implement active performance in actual time [22,23]. The IoE is a SG in which the multidimensional flow of different types of information and energy is realised by the Internet.…”

Section: The Connection Between Sg and Ioementioning

confidence: 99%

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

et al. 2022

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To achieve low-carbon sustainable energy development, new technologies such as Internet of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy generations via smart grids (SG) are gaining attention. The interoperability between intelligent energy systems, realised through the web, enables automatic consumption optimisation and increases network efficiency and intelligent management. IoE is an intriguing topic in close connection with the IoT, communication systems, SG and electrical mobility that contributes to energy efficiency to achieve zero-carbon technologies and green environments. Furthermore, nowadays, the widespread growth and utilisation of processors for mining digital currency in homes and small warehouses are some other factors to be considered in terms of electric energy consumption and greenhouse gas emission. However, research on the use of the Internet for evaluating the misallocation of energy and the effect it can have on CO 2 emissions is often neglected. In this study, the authors present a detailed overview regarding the evolution of SG in conjunction with the employment of IoE systems as well as the essential components of IoE for decarbonisation. Also, mathematical models with simulation are provided to evaluate the role of IoE in reducing CO 2 emission.

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Section: The Connection Between Sg and Ioementioning

confidence: 99%

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

et al. 2022

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“…During a fault, the presence of a DC decaying component is prominent in the faulty phase, then a significant TI can be found in the faulty phase. To calculate a suitable TI threshold for detecting fault events, the largest value of TI is calculated for the largest overload condition, normally 120% of rated current [20]. Therefore, to distinguish the faulty and overload events, the following constraint should be satisfied…”

Section: Fault Detection Techniquementioning

confidence: 99%

A Transient Component-Based Technique for Fault Detection in Distributed Generation Systems

Bayati

Savaghebi

2022

2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

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In this paper, transient current and voltage responses, caused by low and high impedance faults in a power system with distributed generation (DG) systems, are investigated. The proposed approach utilizes a novel transient index (TI) based on the voltage during fault at the point of common coupling. The proposed technique uses voltage signals at DG connection point to provide the value of TI. The performance of the proposed scheme is evaluated on a power system consisting of photovoltaic systems and wind turbine generators as the case study by using a real-time simulator. The simulation results, which will be included in the full paper, show the fast and reliable operation of the proposed fault detection technique as compared to the existing fault detection methods, not only for low impedance transient faults but also for high impedance faults.

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“…In [30], a hierarchical clustering analysis for identifying electrical battery vehicles (BEVs) is presented to collect demand clusters. Also, the charging demands of these clusters have been accomplished by establishing a model for assigning a BEV charging station [31]. However, the capacity of the charging station has not been considered in the proposed model.…”

Section: Introductionmentioning

confidence: 99%

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

Keleshteri

Niknam

Ghiasi

et al. 2023

The Journal of Engineering

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The use of plug-in electric vehicles (PEV) and their developing technology can create new challenges to the smart power system. The type, method, and time of charging electric vehicles are also other issues. Allocating and determining the optimal capacity of electric vehicle charging stations (EVCS) is related to the technical requirements of the distribution network. This is economically important for the construction of charging stations. This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. This work presents the problem from a techno-economic point of view of the electrical network as a multi-objective problem with the objectives of simultaneously reducing the cost of building EVCSs and active power losses. The Pareto method is used to solve the problem and to display optimal points. In order to carry out the simulation, the proposed method is tested on a case study of the standard IEEE 37-bus network with a 25-node transport system and the proposed solution in the subject environment. The Floyd-Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations.

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EMD/HT‐based local fault detection in DC microgrid clusters

Cited by 17 publications

References 37 publications

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation

A Transient Component-Based Technique for Fault Detection in Distributed Generation Systems

New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

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