Thyristor Controlled Reactor with Different Topologies Based on Fuzzy Logic Controller

Awad, Fathy H.; Mansour, Ahmed A.; Elzahab, E.E. Abou; University-Giza, Cairo

doi:10.17950/ijer/v4s9/906

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…1.11 and voltage and current waveforms at different firing angle are presented in Fig. 1.12 (Awad et al, 2015;Mahapatra et al, 2014;Mathur & Varma, 2002;Padiyar, 2007).…”

Section: Thyristor Controlled Reactormentioning

confidence: 97%

Development of smooth asymmetric reactive power compensators

Šapurov¹

2020

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“…1.11 and voltage and current waveforms at different firing angle are presented in Fig. 1.12 (Awad et al, 2015;Mahapatra et al, 2014;Mathur & Varma, 2002;Padiyar, 2007).…”

Section: Thyristor Controlled Reactormentioning

confidence: 97%

Development of smooth asymmetric reactive power compensators

Šapurov¹

2020

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“…Beside the CBs devices, a thyristor-controlled reactor (TCR) is one of the advanced technologies that is used to compensate the reactive power in a smooth way. It is combined with other schemes such as CB [25]. This scheme represents the SVC, which is one of the most promising solutions that can decrease power losses, improve voltage profile, enhance power factor, and reduce harmonic distortion resulting from non-linear loads [26].…”

Section: Introductionmentioning

confidence: 99%

Effective Automation of Distribution Systems With Joint Integration of DGs/ SVCs Considering Reconfiguration Capability by Jellyfish Search Algorithm

et al. 2021

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Power system operators and planners have progressively shown an interest in maximizing distribution automation technologies. The automated distribution systems (ADS) provide the capability of efficient and reliable control which require an optimal operation strategy to control the status of the line switches and also dispatch the controllable devices. Therefore, this paper introduces an efficient and robust technique based on Jellyfish Search Algorithm (JFSA) for optimal Volt/VAr coordination in ADSs based on joint distribution system reconfiguration (DSR), distributed generation units (DGs) integration and Distribution static VAr compensators (SVCs) operation. The suggested technique is used for the dynamic operation of ADS in order to minimize losses and reduce emissions when considering regular daily loading conditions. The 33-bus and 69-bus delivery DSs have been subjected to a variety of scenarios. These situations are mostly concerned with achieving optimum distribution system operation and control, as well as validating the proposed methodology. Despite the problem's complexity, the proposed technique JFSA is shown to be the best solution in all of the cases considered. Furthermore, a comparison of the proposed JFSA with other similar approaches demonstrates its usefulness as a method to be used in modern ADS control centers.

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“…Another advanced type of apparatuses that are employed to enhance the performance of the distribution networks is a thyristor‐controlled reactor (TCR), which compensates the reactive power smoothly. The TCR can be integrated with other types, for instance, CBs 21 . This arrangement signifies the DSVC, which can be considered as the most talented solutions to gain different features such as reducing the power losses, enhancing voltage shape, and improving the power factor.…”

Section: Introductionmentioning

confidence: 99%

Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

Shaheen

Elsayed

El‐Sehiemy

et al. 2021

Int Trans Electr Energ Syst

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Summary Recently, power system planners and operators are of interest to maximize distribution automation investments. Optimal operation of control centers of fully automated distribution systems enables it to control all switches as well as dispatching connected controllable apparatuses. Most previously enhanced distribution systems, which include additional enhancement apparatuses, such as distribution static VAr compensators, capacitor banks, and distributed generators, cannot take advantage of the features of these apparatuses because there is no efficient and reliable control. Accordingly, this article presents a robust and efficient technique using Manta ray foraging optimization algorithm (MRFOA) for optimal coordination and control of such apparatuses as well as distribution network reconfiguration simultaneously. The proposed procedure is employed for the dynamic operation of automated distribution systems, considering daily load variations, for losses minimization and emissions reduction with diverse cases of both the 33‐bus and 69‐bus distribution test systems. To manifest, these cases are developed to validate the proposed technique and to achieve optimum control and operation of the distribution systems. Despite the complexity of this problem, the proposed technique can achieve the optimal solution for the various considered cases. As well, the comparative assessment of the proposed MRFOA with relevant techniques demonstrates its effectiveness as an effective tool used in the control centers of modern automated distribution systems. One of the most complex challenges to distribution systems operators in the practical daily load variations is the control and optimal operation of the associated dispatchable enhancement apparatuses such as DGs and DSVCs. The DNR makes the utilization and control of such aforementioned enhancement apparatuses more feasible for distribution systems, but this is in return for increasing the complexity of the problem. Significant technical and environmental benefits have been achieved. Great power losses reduction (about 80%) and voltage enhancement are achieved using the MRFOA. In addition, the emission levels are kept at the lowest levels.

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Thyristor Controlled Reactor with Different Topologies Based on Fuzzy Logic Controller

Cited by 5 publications

References 2 publications

Development of smooth asymmetric reactive power compensators

Development of smooth asymmetric reactive power compensators

Effective Automation of Distribution Systems With Joint Integration of DGs/ SVCs Considering Reconfiguration Capability by Jellyfish Search Algorithm

Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

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