ANN based SVC switching at distribution level for minimal injected harmonics

Kulkarni, D. B.; Udupi, G. R.

doi:10.1109/icpst.2008.4745293

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…This time is very small when compared to those achieved by the phase shift current controller in [2], the microprocessor based power factor controller in [4], the hysteresis current controller depicted in [5], and the SVC current controller with a Fuzzy ranking system in [7]. For instance, the steady state performance time for the hysteresis current controller [5] is about one second.…”

Section: B Steady State Performancementioning

confidence: 92%

Automatic Power Factor Correction Using a Harmonic-Suppressed TCR Equipped with a New Adaptive Current Controller

Obais

Pasupuleti²

2014

Journal of Power Electronics

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In this paper, a new continuously and linearly controlled capacitive static VAR compensator is proposed for the automatic power factor correction of inductive single phase loads in 220V 50Hz power system networks. The compensator is constructed of a harmonic-suppressed TCR equipped with a new adaptive current controller. The harmonic-suppressed TCR is a new configuration that includes a thyristor controlled reactor (TCR) shunted by a passive third harmonic filter. In addition, the parallel configuration is connected to an AC source via a series first harmonic filter. The harmonic-suppressed TCR is designed so that negligible harmonic current components are injected into the AC source. The compensator is equipped with a new adaptive closed loop current controller, which responds linearly to reactive current demands. The no load operating losses of this compensator are negligible when compared to its capacitive reactive current rating. The proposed system is validated on PSpice which is very close in terms of performance to real hardware.

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Section: B Steady State Performancementioning

confidence: 92%

Automatic Power Factor Correction Using a Harmonic-Suppressed TCR Equipped with a New Adaptive Current Controller

Obais

Pasupuleti²

2014

Journal of Power Electronics

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“…Table introduces a brief comparison between the different control methods mentioned in Section and the proposed control method. Additionally, Table provides a brief comparison between the proposed NN structure and the NN used in Kulkarni and Udupi …”

Section: Contribution To Knowledgementioning

confidence: 99%

“…In Kulkarni and Udupi, the authors introduced the use of neural‐based SVC for load balancing with harmonic minimization. The required firing angles of the thyristor‐controlled reactor (TCR) were calculated on the basis of real and reactive power demands for each phase.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the response of thyristor‐controlled reactor using neural network

Ragab

Ghaeb

Al‐Naimi

2019

Int Trans Electr Energ Syst

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Summary In this paper, a neural network controller is proposed to retrieve the voltage balancing conditions in three‐phase power systems. The neural network is suggested to calculate the required set of firing angles for the thyristor‐controlled reactor accurately to balance the three‐load voltages quickly. The proposed controller is fed by different parameters within different feeding techniques, namely, root mean square (RMS) values of the three load voltages, RMS value of the space vector signal calculated from the three load voltages, and the RMS values of both the three load voltages and their associated space vector. The intentions of the proposed techniques are to combine between reducing the number of measured parameters and providing the controller with qualitative data about system status. The influence of the measured parameters on the neural network performance is examined by calculating the regression coefficients through several test cases. Accordingly, only the effective parameters are utilized to reduce the neural network complexity and to enhance the controller response time. Additionally, the calculations of the controller input parameters are made in terms of space vector cycle, which is half of system sinusoidal cycle. Consequently, the calculation time is reduced significantly. The Aqaba‐Qatrana‐South Amman power system is considered and modeled as a real case study. In addition, several test cases have been conducted to test and validate the ability of the proposed neural network controller in retrieving the voltage balance conditions precisely and quickly. The results have revealed the ability of the proposed neural network controller to calculate the firing angles quickly within 10 milliseconds and achieve very low voltage unbalance factor.

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“…As another solution, Static Var Compensators (SVCs) have been proposed to compensate the reactive power in distribution systems [2]- [4]. However, high harmonic injection and very low bandwidth are reported in industrial types of SVCs [3]. Distribution STATic synchronous COMpensator (D-STATCOM) [5], [6] improves the power quality and supports reactive power with high bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Distributed Reactive Power Sharing in Microgrids

Madani

Karimi

2019

2019 IEEE 58th Conference on Decision and Control (CDC)

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In this paper, reactive power sharing for Photovoltaic (PV) units in islanded microgrids has been formulated as a robust control design problem and is solved using convex optimization method. In addition to reactive power sharing, the disturbance rejection for voltage and active power have been formulated using infinity-norm constraints on the sensitivity functions and considered in the design. The proposed method uses only the measurement data of the power system with no need for a parametric model of the power grid equipment. The size of the problem is independent of the order of the plant which makes it applicable to power systems including a high number of buses and equipment such as synchronous generators, batteries and inverters. In the proposed method, the communication system can be considered in the control design process for centralized, distributed and decentralized structures. The proposed method has been validated through simulation of a microgrid encompassing synchronous generator, switching inverters and storage system. The results show that this method has successfully shared reactive power among different PV units while providing disturbance rejection for voltage and active power.

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ANN based SVC switching at distribution level for minimal injected harmonics

Cited by 7 publications

References 9 publications

Automatic Power Factor Correction Using a Harmonic-Suppressed TCR Equipped with a New Adaptive Current Controller

Automatic Power Factor Correction Using a Harmonic-Suppressed TCR Equipped with a New Adaptive Current Controller

Enhancing the response of thyristor‐controlled reactor using neural network

Data-Driven Distributed Reactive Power Sharing in Microgrids

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