The Unified Power Quality Conditioner Control Method Based on the Equivalent Conductance Signals of the Compensated Load

Szromba, Andrzej

doi:10.3390/en13236298

Cited by 10 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, a comprehensive study was carried out on various phase synchronization techniques that were used to control the working of the SHAPF (Yap et al, 2019). The novel technique was introduced for the UPQC to improve the power quality to regulate energy transfer between sources and loads (Szromba, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Green energy-sourced AI-controlled multilevel UPQC parameter selection using football game optimization

Srilakshmi,

Rao,

Balachandran

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

The power quality (PQ) has been significantly affected by the integration of intermittent non-conventional sources (NCS) into the local distribution system in addition to the adoption of power electronic technologies to regulate non-linear loads. This article combines the H-bridge cascade five-level unified power quality conditioner (5L-UPQC) with the wind power generation system (WPGS), solar photovoltaic power generation system (SPVGS), and battery storage system (BSS) as an effective approach to address PQ problems. The utilization of the Levenberg–Marquardt backpropagation (LMBP)-trained Artificial neural network controller (ANNC) in the UPQC is recommended for generating appropriate reference signals for the converters. This eliminates the requirement for conventional complex conversions, such as abc, dq0, and αβ. Moreover, the artificial neuro-fuzzy interface system (ANFIS) is recommended for achieving a DC-link balance. Football game optimization (FBGO) is utilized to determine the optimal shunt and series filter characteristics. The major objectives of the proposed system are to reduce the current waveform irregularities, resulting in a decrease in the total harmonic distortion (THD), an enhancement in the power factor (PF), the mitigation of supply voltage imbalances and disturbances, and the maintenance of a steady direct-current link capacitor voltage (DLCV), despite the variations in the load, solar irradiation, and wind velocity. The efficiency of the suggested strategy is assessed using four case studies that involve different loads, variable wind velocities, and source voltage balancing conditions. Based on the simulation studies and obtained results, the suggested method significantly decreases the THD to values of 2.91%, 3.63%, 3.75%, and 3.50%. Additionally, it achieves a power factor of unity, which is considerably lower compared to other multilevel schemes that use the traditional symmetrical reference frame (SRF) and instantaneous reactive power (pq) methods. This design has been executed using the MATLAB/Simulink program.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Green energy-sourced AI-controlled multilevel UPQC parameter selection using football game optimization

Srilakshmi,

Rao,

Balachandran

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Tracing the DC-side voltage signal can be successfully used to obtain the reference signals for compensation. The so-called indirect technique of calculating reference signals exploits such approach [9,[30][31][32][33][34]. The indirect control technique was introduced to power electronics as a tool for power quality improvement by Dixon and Ooi [35].…”

Section: Indirect Current Control Techniquementioning

confidence: 99%

“…An interesting situation arises when this DC-side energy balancing ceases to be treated as an inconvenience of the indirect method. Moreover, these changes in DC-side voltage may be used to obtain a reference signal that can be related to the active power existing in the source-active filter-load system, and, finally, to the demanded active current of the source [32,33,[36][37][38][39][40][41]. This reference signal can be a pattern for the source current.…”

Section: Indirect Current Control Techniquementioning

confidence: 99%

Is It Possible to Obtain Benefits by Reducing the Contribution of the Digital Signal Processing Techniques to the Control of the Active Power Filter?

Szromba

2021

Energies

Self Cite

View full text Add to dashboard Cite

This paper presents a simple yet efficient control method for active power filters that can be used to improve power quality. Applying this method can open the way towards limiting the hardware and computational expenditure, which are needed for control of the active filter, while maintaining its required performance. The method is based on the indirect approach of obtaining reference signals combined with the closed-loop current control technique. Monitoring of changes of energy stored in reactance elements of the active filter is the base for obtaining reference signals for compensation. The active filter can perform classical compensation and, additionally, can perform some extra functionality for managing of active power in the system. In particular, it can stabilize the supplying source power, enable energy exchange between loads connected on DC and AC sides of the active filter, and—in a case of generating loads—enable their energy storage and redistribution amongst consuming loads. The presented method can be useful for voltage-source as current-source inverter based active filters, and for DC systems as well as for AC single- or three-phase ones.

show abstract

“…However, the detailed study was carried out on different types of phase synchronization methods that are applicable to control the operation of SHAF [30]. The new load equivalent conductance method was applied for UPQC for improving voltage quality with a view of regulating energy transfer between sources and loads [31]. An adaptive hysteresis band with FLC was introduced to solar-connected nine-level UPQC with an intention to obtain distortion-free voltage waveforms [32].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design and Performance Investigation of Artificial Neural Network Controller for Solar- and Battery-Connected Unified Power Quality Conditioner

Ramadevi

Srilakshmi²,

Balachandran³

et al. 2023

International Journal of Energy Research

View full text Add to dashboard Cite

Nowadays, integration of renewable sources into the local distribution system and the nonlinear behavior of advanced power electronic equipment have made a large impact on the power quality (PQ). The unified power quality conditioner (UPQC) is a multifunctional FACTS device, which is a combination of both shunt active filter and series active filters via a common DC link. Presently, the artificial intelligence is playing a vital role in the development of the intelligent control methods. Traditional training methods of artificial neural network (ANN) like back propagation and Levenberg-Marquardt may get stuck in local optimal solution which leads to the invention of ANN trained optimally by metaheuristic algorithms. This paper develops a firefly algorithm-trained ANN (FF-ANNC) controller for the shunt active filter and proportional integral controller (PI-C) for the series active filter of the UPQC integrated with the solar energy system and battery energy storage via boost converter (B-C) and buck boost converters (B-B-C). The main aim of the proposed FF-ANNC is to reduce the mean square error (MSE) thereby achieving the constant DC link capacitor voltage (DLCV) during load and irradiation variations, reduction of imperfections in current waveforms, improvement in power factor (PF), and mitigation of sag, swell, disturbances, and unbalances in the grid voltage. The working of developed FF-ANNC was tested on five test studies with different types of loads and source voltage balancing/unbalancing conditions. However, to demonstrate supremacy of the suggested FF-ANNC, a comparative study with the training methods like genetic algorithm (GA) and ant colony optimization (AC-O) and also with other methods that exist in literature like PI-C, fuzzy logic controller (FL-C), and artificial neuro fuzzy interface system (ANFI-S) was conducted. The proposed method reduces the total harmonic distortion to 2.39%, 2.32%, 2.27%, 2.45%, and 2.66% which are lower than the existing methods that are available in literature. The FF-ANNC shows an excellent performance in reducing voltage fluctuations and total harmonic distortion (THD) successfully and thereby improving PF.

show abstract

The Unified Power Quality Conditioner Control Method Based on the Equivalent Conductance Signals of the Compensated Load

Cited by 10 publications

References 22 publications

Green energy-sourced AI-controlled multilevel UPQC parameter selection using football game optimization

Green energy-sourced AI-controlled multilevel UPQC parameter selection using football game optimization

Is It Possible to Obtain Benefits by Reducing the Contribution of the Digital Signal Processing Techniques to the Control of the Active Power Filter?

Optimal Design and Performance Investigation of Artificial Neural Network Controller for Solar- and Battery-Connected Unified Power Quality Conditioner

Contact Info

Product

Resources

About