Determination of appropriate location of superconducting fault current limiter in the smart grid

Yadav, Sushma; Mandal, Rajib Kumar; Choudhary, Girish Kumar

doi:10.1109/iseg.2014.7005580

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…However, this value drastically increases during faults [151,152]. FCLs are generally classified into two main types: superconductor and solid state FCLs, which are further subdivided into distinct sub-types as detailed in [58,153]. According to the literature, FCL installation in MGs has challenging concerns regarding the location, sizing, and tuning of parameters, concerns which necessitate a rigorous study to reveal the optimum solutions, technically and economically [45,46].…”

Section: Fault Current Limitersmentioning

confidence: 99%

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

Sheta

Abdulsalam

Sedhom

et al. 2023

Prot Control Mod Power Syst

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With the rapid development of electrical power systems in recent years, microgrids (MGs) have become increasingly prevalent. MGs improve network efficiency and reduce operating costs and emissions because of the integration of distributed renewable energy sources (RESs), energy storage, and source-load management systems. Despite these advances, the decentralized architecture of MGs impacts the functioning patterns of the entire system, including control strategy, energy management philosophy, and protection scheme. In this context, developing a convenient protection strategy for MGs is challenging because of various obstacles, such as the significant variance in short-circuit values under different operating modes, two-way power flow, asynchronous reclosing, protection blinding, sympathetic tripping, and loss of coordination. In light of these challenges, this paper reviews prior research on proposed protection schemes for AC-MGs to thoroughly evaluate network protection's potential issues. The paper also provides a comprehensive overview of the MG structure and the associated protection challenges, solutions, real applications, and future trends.

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Section: Fault Current Limitersmentioning

confidence: 99%

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

Sheta

Abdulsalam

Sedhom

et al. 2023

Prot Control Mod Power Syst

View full text Add to dashboard Cite

show abstract

“…However, while charging, the vehicle will be in standalone mode and while running there is no chance of charging. The MRAC model for speed estimation is shown in Figure 4 for the basic and implemented model on BLDC motor [18]- [25].…”

Section: Control Of Motor In Electrical Vehiclementioning

confidence: 99%

Novel aggregated controller of wind and PV based grid connected charging station for electric vehicle

Deepak,

Mandal,

Verma

2023

IJPEDS

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<span lang="EN-US">Novel technologies are adopting electric vehicles (EVs) day-by-day due to increasing interest in EVs. The charging process of EVs is a very important aspect when it is connected to the utility grid. Generally charging of an EV can be done at either home or in charging stations were connected to the utility grid. More harmonics and nonlinear currents are injecting into the utility grid during the charging process of the battery due to the existence of converters for power conversion in charging stations of EVs, which generally affects the quality of the power. In this situation, supplying the power to the utility grid from batteries existing in the vehicle through the charging station will provide a better solution and will charge again when there is less demand on the grid. Further using renewable energies in the charging stations can provide reliable power for both vehicles as well as the utility grid. To achieve better performance and maintain power quality at load bus, an aggregated controller is proposed in this paper. Moreover, reloading conditions are also incorporated to renewable energy sources under disconnection of the utility grid to maintain power balance. Hardware-in the–loop (HIL) based extensive results by using OPAL-RT modules are examined in this article under many situations to validate the proposed method.</span>

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“…The test systems selected to simulate the proposed methodology are the IEEE 14 bus system and IEEE 33 bus system which represent the transmission network and distribution network, respectively. The IEEE 14 bus network consists of five generator buses, 11 load buses, and 20 lines (Yadav et al, 2014). For the transmission network, base voltage is 132 kV and base MVA is 100MVA, respectively.…”

Section: Test Systemsmentioning

confidence: 99%

Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent

Rasheed

Verayiah

2021

Front. Energy Res.

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Electricity generation from renewable energy sources such as solar energy is an emerging sustainable solution. In the last decade, this sustainable source was not only being used as a source of power generation but also as distributed generation (DG). Many literatures have been published in this field with the objective to minimize losses by optimizing the DG size and location. System losses and voltage profile go hand-in-hand; as a result, when system losses are minimized, eventually the voltage profile improves. With improvement in inverter technologies, PV-DG units do not have to operate at a unity power factor. The majority of proposed algorithms and methods do not consider power factor optimization as a necessary optimization. This article aims to optimize the size, location, and power factor of PV-DG units. The simulations are performed on the IEEE 33 bus radial distribution network and IEEE 14 bus transmission network. The methodologies developed in this article are divided into two sections. The first section aims to optimize the PV-DG size and location. A multi-objective function is developed by using system losses and a voltage deviation index. Genetic algorithm (GA) is used to optimize the multi-objective function. Next, analytical processes are developed for verification. The second section aims to further enhance PV-DG by optimizing the power factor of PV-DG. The simulation is performed for static load in both systems, which are the IEEE 33 bus radial distribution network and IEEE 14 bus transmission network. A mathematical analytical method was developed, and it was found to be sufficient to optimize the power factor of the PV-DG unit. The results obtained show that voltage stability indices help minimize the computation time by determining the optimal locations for DG placement in both networks. In addition, the GA method attained faster convergence than the analytical method and hence is the best optimal sizing for both test systems with minimum computation time. Additionally, the optimization of the power factor for both test systems has demonstrated further improvement in the voltage profile and loss minimization. In conclusion, the proposed methodology has shown promising results for both transmission and distribution networks.

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Determination of appropriate location of superconducting fault current limiter in the smart grid

Cited by 8 publications

References 8 publications

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

Novel aggregated controller of wind and PV based grid connected charging station for electric vehicle

Investigation of Optimal PV Allocation to Minimize System Losses and Improve Voltage Stability for Distribution and Transmission Networks Using MATLAB and DigSilent

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