Control strategies for power quality enrichment in Distribution network using UPQC

Sarita, Narala Chitti Sai; Reddy, S. Suresh; Sujatha, P.

doi:10.1016/j.matpr.2021.07.053

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…In ref. [30], optimizing UPQC control strategies were focused on, particularly in unbalanced and distorted weak grid conditions. Additionally, UPQC performance under unbalanced and non-linear harmonic loads was crucial for maintaining desirable power quality.…”

Section: Related Work In the Literaturementioning

confidence: 99%

Power Quality Conditioners-Based Fractional-Order PID Controllers Using Hybrid Jellyfish Search and Particle Swarm Algorithm for Power Quality Enhancement

Aldosary

2024

Fractal Fract

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Power quality (PQ) is a major issue in today’s electrical system that affects both utilities and customers. The proliferation of power electronics devices, smart grid technology, and renewable energy sources (RES) have all contributed to the emergence of PQ concerns in today’s power system. The Unified Power Quality Conditioner (UPQC) is a versatile tool that can be used to fix distribution grid issues caused by irregular voltage, current, or frequency. Several tuning parameters, however, restrict the effectiveness of the Fractional-Order Proportional Integral Derivative (FOPID) control technique, which is proposed to improve UPQC performance. To move beyond these restrictions and find the optimal solution for the FOPID controller problem, a hybrid optimization strategy called the Hybrid Jellyfish Search Optimizer and Particle Swarm Optimizer (HJSPSO) is employed. To meet the load requirement during PQ issue periods, the suggested model incorporates a renewable energy source into the grid system. Whether the load is linear or non-linear, the design maintains PQ problems to a minimum. Furthermore, the FOPID control technique is compared with other controllers. Results show that grid-connected RES systems using the proposed FOPID control approach for UPQC have fewer PQ problems. The presented UPQC with HJSPSO strategy significantly outperformed, with the shortest computing time of 127.474 s and an objective function value of 1.423.

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Section: Related Work In the Literaturementioning

confidence: 99%

Power Quality Conditioners-Based Fractional-Order PID Controllers Using Hybrid Jellyfish Search and Particle Swarm Algorithm for Power Quality Enhancement

Aldosary

2024

Fractal Fract

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“…When the DC voltage V0 is applied across the primary of the injecting transformer, dc current I0 will flow through the primary winding Np leading to the dc flux circulating in the core, resulting in a dc flux density Bdc. This dc flux density is evaluated by following 𝐵 𝑑𝑐 = 0.4𝜋𝑁 𝑝 𝐼 0 𝐼 𝑔 +( 𝑙 𝑚 𝜇 𝑚 ) (5) where lm and µm are mean length of the core and permeability of the core respectively. Practically this dc flux is complemented by the ac flux Bac_max and is evaluated as…”

Section: DC Voltage Component Designmentioning

confidence: 99%

“…Severe storms and lightning on electricity lines trigger line to ground fault leading to voltage sag over a wide section of electrical network. Some other factors that results in this disturbances are short circuits at the starting of power transmission line, the parallel power distribution line linked to the point of common coupling (PCC), high inrush currents related with the starting of large machines, abrupt changes in load, the energizing of power transformers, and switching operations in the power system network [5]. Voltage sag is the temporary drop of the R.M.S.…”

Section: Introductionmentioning

confidence: 99%

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

et al. 2022

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Nowadays, power quality under the excessive implementation of power electronics devices is quite challenging issue. The compensation of non-sinusoidal; reactive and harmonic; components is the main role for power quality devices which highly depend on the robustness of the control system. Some common control systems are implemented using DQ theory. This paper proposes a new version of DQ control technique to control dynamic voltage restorer under severe transient voltage conditions. The power system network with the new DQ control technique is studied and analyzed under different scenarios to compensate for severe balanced and unbalanced voltage sags and swells. This new scheme is based on extraction of positive sequence components to implement the control algorithm. A mathematical model of the DVR, hysteresis voltage control, converter controller model, new DQ scheme with complete system equations are carried out and verified using Simulink / MATLAB. The proposed system is validated experimentally using DSpace 1104 based laboratory system. The obtained results of the proposed compensation algorithm are compared with the results obtained from the traditional DQ method. Simulation and experimental results are correlated and show effectiveness of the proposed DQ control scheme.

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“…The most encouraging RESs in the world are wind-energy-conversion-systems (WECSs). [2][3][4][5] Renewable energy sources, like wind-energy must be integrated into power-system to reduce the environmentally friendly effect of traditional plants. 6,7 The WECS are used to transform wind kinetic-energy is converted into mechanical-power to generate electricity.…”

Section: Introductionmentioning

confidence: 99%

“…To satisfy the energy demand, it is crucial to expand renewable‐energy‐sources (RESs), like wind, solar, co‐generation, hydro, tidal, and biomass. The most encouraging RESs in the world are wind‐energy‐conversion‐systems (WECSs) 2–5 . Renewable energy sources, like wind‐energy must be integrated into power‐system to reduce the environmentally friendly effect of traditional plants 6,7 …”

Section: Introductionmentioning

confidence: 99%

Optimal power quality improvement in distribution system with UPQC using an improved strategy

Palanisamy,

Thangamuthu

2024

Optim Control Appl Methods

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A hybrid technique is proposed to enhance the power quality (PQ) on the distribution sides of the utility grid (UG) by controlling a unified power quality conditioner (UPQC) connected to hybrid sources (photovoltaic [PV] and wind turbine [WT]). The proposed hybrid method integrates the implementation of the pelican optimization algorithm and the Aquila optimizer; hence, it is called the improved aquila optimizer (IAO) technique. The objective of the proposed method is to lessen the total harmonic distortion (THD), voltage instability, and PQ issues during load fluctuation situations. The improved Aquila Optimizer technique optimizes the control parameters of the UPQC to achieve optimal PQ development. The series controller is attached to the grid‐side to enhance grid PQ, while the shunt hybrid active power filter (SAPF) and shunt active power filter (SHAPF) generate the best control pulses based on load and source conditions. The proposed solution addresses power loss, THD, and voltage instability problems during load fluctuation conditions. The series controller reduces voltage sag by 14% and voltage swell by 15%. The THD for the proposed technique is 0.8%. The PQ of the proposed technique is improved, and various characteristics are reduced. The efficiency of the proposed technique is examined by using MATLAB and is compared to existing approaches. The PQ characteristics are significantly improved, and the proposed technique is better than the existing techniques.

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Control strategies for power quality enrichment in Distribution network using UPQC

Cited by 10 publications

References 32 publications

Power Quality Conditioners-Based Fractional-Order PID Controllers Using Hybrid Jellyfish Search and Particle Swarm Algorithm for Power Quality Enhancement

Power Quality Conditioners-Based Fractional-Order PID Controllers Using Hybrid Jellyfish Search and Particle Swarm Algorithm for Power Quality Enhancement

A New Technique Implemented in Synchronous Reference Frame for DVR Control Under Severe Sag and Swell Conditions

Optimal power quality improvement in distribution system with UPQC using an improved strategy

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