Power quality enhancement using DVR based on ant colony controller

Benachaiba, Chellali; Mazari, B.; Tandjaoui, M. N.; Haidar, Ahmed M. A.

doi:10.1109/rtucon.2016.7763114

Cited by 8 publications

(4 citation statements)

References 5 publications

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“…It is necessary to control the operation of DVR to select the optimum values of the sliding surface coefficient parameters such as K p and K i for the PI sliding surface of SMC [27] and the tuning parameters for the PID controller. An iterative method, such as the Ant colony algorithm [28], is the best choice [29] in order to save time, reduce insecurity, and provide more reliability [29]. In this paper, the parameters of a PI sliding surface for SMC and PID gains are taken through an ant colony algorithm [30] to obtain the robustness of the controller.…”

Section: Introductionmentioning

confidence: 99%

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

Soomro

Larik²,

Mahar³

et al. 2022

Sustainability

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A constant power supply is a basic need for each consumer due to the increase in sensitive equipment day by day. As per IEEE standards, a 10% reduction in voltage from the supply voltage is not acceptable and may cause the failure of equipment. Previously, different techniques have been used to alleviate the voltage sag, such as STATCOM, DSTATCOM, SVC, and shunt capacitors, but these devices are connected in parallel, which compensates for the low value of voltage sag, and they have high maintenance costs involved. Compensation for the low and high values of voltage sag is possible through a series-connected device such as a dynamic voltage restorer. In this paper, a matrix converter is presented for DVR to convert AC to AC voltage directly and free from batteries, capacitors, and multiple conversions as needed in a voltage source inverter, resulting in a reduced cost of DVR topology. The DVR is meaningless in the absence of a controller, so it is necessary to select a suitable controller for the satisfactory operation of the DVR under a variation of system parameters. In this paper, the performance of a linear PID controller is analyzed and compared with a nonlinear controller, such as a sliding-mode controller, under variation of power system parameters inorder to select a robust controller that performs satisfactorily for DVR. Earlier trial-and-error methods were used to obtain the parameters of PID gains, but they require a large time to obtain the parameters of the PID gains and there is a chance of inaccuracy. A genetic algorithm was used to obtain the gain parameters, but it has more convergence time and the particle swarm optimization technique has involves less reliability. In this research paper, the sliding surface coefficient parameters such as and Ki for the PI sliding surface of SMC and PID gains are taken through an ant colony algorithm to obtain the robustness of the controllers. The purpose of this paper is to introduce the best DVR topology with reduced cost. MATLAB simulation software was utilized to analyze the performance of the DVR with PID and SMC controllers under different fault conditions and also the THD% of proposed controllers was analyzed through FFT.

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Section: Introductionmentioning

confidence: 99%

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

Soomro

Larik²,

Mahar³

et al. 2022

Sustainability

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“…However, such method does not produce good optimized values and leads to generate surges and overshoots. Currently, several intelligent techniques have been recommended, to enhance the traditional PI parameters tuning method like the genetic algorithm [33], particle swarm optimization [34], ant colony optimization [35]. But it sometimes shares disadvantages such as dependency of initial point parameters, premature convergence phenomenon, converges to local mina and deteriorate population diversity.…”

Section: Introductionmentioning

confidence: 99%

Biogeography based optimization strategy for UPQC PI tuning on full order adaptive observer based control

Alam

Arya

Jana

2020

IET Generation Trans & Dist

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Adaptive full order observer based control algorithm for unified power quality conditioner is presented. The full order adaptive observer based algorithm is capable of estimating fundamental positive sequence components parameters, including frequency, amplitude, and phase form power supply systems. Due to its adaptive response, monitoring accuracy, and faster detection of fundamental positive sequence components under all different loads and grid conditions, it is used for power quality improvement. In addition to full order adaptive observer based control algorithm, a biogeography-based optimization method is employed here for tuning the K p and K i gains of a proportional integral controller on unified power quality conditioner system. The proposed method minimizes the dc-link voltage oscillations and enhances its step response by optimally tuning the proportional integral controller. This is done by reducing the objective function of the integral time absolute error for different power quality perturbations. The numerical values obtained by biogeography based optimization are selected as proportional integral gains and it also improves the controller's performance. The full order adaptive observer control integrated with biogeography based optimization algorithm is tested interface with MATLAB/Simulink on developed unified power quality conditioner under different power quality problems at different intervals. The performance results demonstrate the quick convergence rate with effective performance.

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“…The DVR performance is validated and compared with Ziegler‐Nichols and genetic algorithm under different voltage sag condition. Benachaiba et al proposed DVR using PI controller based on ant colony optimization (ACO) for power quality enhancement. K p and K i value optimization was done using ACO.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the author proposed sequential quadratic method for solving the mitigation problem and the result of flicker mitigation; power ramp rate control and system rating reduction are compared with PI Controller. In Norouzi et al 3 6 proposed DVR using PI controller based on ant colony optimization (ACO) for power quality enhancement. K p and K i value optimization was done using ACO.…”

Section: Introductionmentioning

confidence: 99%

Development and performance analysis of PSO‐optimized sliding mode controller–based dynamic voltage restorer for power quality enhancement

Jeyaraj

Devaraj

Velusamy

2019

Int Trans Electr Energ Syst

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Summary In the distribution power system, voltage sag and swell are the critical issues. The impact of this issue creates major economic loss and power loss in the distribution system. There are several detection methods available, mainly, connecting the FACTS devices such as Static Compensator (STATCOM), Unified Power Quality Conditioner (UPQC), and dynamic voltage restorer (DVR) at the point of sag or swell. DVR is one of the custom power devices to mitigate the voltage sag and swell. Sliding mode controller (SMC) is proposed in the paper, which is used to regulate the DVR to mitigate the voltage sag issue. Particle swarm optimization (PSO) algorithm is utilized in this work to find the optimum value of SMC parameters, namely, Kp and Ki, with the objective of minimizing the integral square error (ISE). A simple two feeder distribution network with DVR is developed in MATLAB‐SIMULINK to assess the performance of DVR under various faults and disturbed situations. The mitigation level and THD values of PSO‐optimized SMC‐based DVR results are compared with the PI controller–based DVR, PSO‐optimized PI controller DVR, and SMC‐based DVR. At last, in the proposed method, the trial is taken by adding a renewable energy resource, that is, PV farm at 400‐kW power rating. The solar energy is integrated with the existing distribution system, and the results are incorporated. Simulation results show that the PSO‐optimized SMC‐based DVR can compensate the voltage sag and swell and also reduce the load voltages efficiently.

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Power quality enhancement using DVR based on ant colony controller

Cited by 8 publications

References 5 publications

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

Simulation-Based Comparison of PID with Sliding Mode Controller for Matrix-Converter-Based Dynamic Voltage Restorer under Variation of System Parameters to Alleviate the Voltage Sag in Distribution System

Biogeography based optimization strategy for UPQC PI tuning on full order adaptive observer based control

Development and performance analysis of PSO‐optimized sliding mode controller–based dynamic voltage restorer for power quality enhancement

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