Simplified Predictive Control of Unified Power Quality Conditioner

Kotturu, Janardhana; Kothuru, Sudhakar; Agarwal, Pramod

doi:10.1109/pedg.2018.8447813

Cited by 9 publications

(2 citation statements)

References 16 publications

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“…The particle swarm optimization (PSO) is achieved to power compensation using model predictive controller to distributed generators. The harmonic reduction in system is done by using PSO and Kalman filter [9][10]. The converters and model predictive controller are used to UPQC for energy compensation.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Multi-Converter-UPQC for Power Quality Improvement in Distribution

2019

IJITEE

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In this paper the power compensation for power system during faults in distribution line is described. The proposed system is designed by using the series and shunt APF based hysteresis control scheme to compensate harmonic distortion and control the system stability. Moreover, the system can be compensated the current as well as voltage simultaneously by using Unified Power Quality Controller (UPQC). Voltage Source Inverters (VSI) are connected in both the series and shunt. The main feeder is used to injecting power to these inverters using transformer and VSI compensate the imperfection line such as sag, interruption, swell, voltage unbalance. DC link voltage of the system is maintained at series and shunt operation. The proposed system is verified successfully and tested using MATLAB/Simulink.

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Section: Introductionmentioning

confidence: 99%

Optimal Operation of Multi-Converter-UPQC for Power Quality Improvement in Distribution

2019

IJITEE

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“…The application of a model predictive control (MPC) in UPQC to improve PQ. 20,21 However, the main disadvantage of MPC is that as the complexity and coupling of the system increases, the iteration numbers of rolling optimization will increase exponentially, which causes degradations of the control performance and system stability. An artificial neural network (ANN) was introduced to control the UPQC based on previous data, which trained the ANN under different load conditions.…”

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confidence: 99%

A Lyapunov function theory‐based nonlinear control strategy for NPC ‐type three‐level unified power quality conditioner

Zhou

Mao

et al. 2020

Int Trans Electr Energ Syst

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Summary Classic control methods commonly used for a unified power quality conditioner (UPQC) include the following: proportional integral (PI) control, proportional resonance (PR) control, and repetitive control. Generally, the main weaknesses of these control methods are poor compensation accuracy and low response speed. In this article, in order to enhance the overall performance of the system, we introduce an innovative nonlinear control strategy based on the Lyapunov function for the three‐phase three‐wire neutral‐point clamp (NPC) type three‐level UPQC. We first develop the mathematical UPQC model, then obtain from the model the control law which we use to construct the switching function by creating the Lyapunov function, thus avoiding the introduction of closed‐loop feedback. The suggested strategy also achieves system stability and dynamic performance by selecting appropriate parameters, after which a carrier‐based pulse width modulation control method based on the injected zero‐sequence component is applied to maintain the stability and balance of the DC‐side capacitor voltage. In addition, both numerical simulation and comparison of experimental results using traditional PI control, passivity‐based control methods, and sliding mode control shows that the proposed nonlinear control strategy for three‐phase three‐wire NPC type three‐level UPQC has an excellent response speed and compensation efficiency.

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Fault mitigation through multi converter UPQC with hysteresis controller in grid connected wind system

Chaudhary

Singh

2020

J Ambient Intell Human Comput

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Simplified Predictive Control of Unified Power Quality Conditioner

Cited by 9 publications

References 16 publications

Optimal Operation of Multi-Converter-UPQC for Power Quality Improvement in Distribution

Optimal Operation of Multi-Converter-UPQC for Power Quality Improvement in Distribution

A Lyapunov function theory‐based nonlinear control strategy for NPC ‐type three‐level unified power quality conditioner

Fault mitigation through multi converter UPQC with hysteresis controller in grid connected wind system

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