Online Learning-Based ANN Controller for a Grid-Interactive Solar PV System

The technology transformation of industry 4.0 comprises computers, power converters such as variable speed devices, and microprocessors, which distract from the quality of power. The integration of distribution-generation technologies, such as solar photovoltaic (PV) and wind systems with source grids, frequently uses power converters, which increases the issues with power quality. DSTATCOM is the FACTS device most proficient in recompensing current-related power quality concerns. A model of DSTATCOM with an ANN controller was developed and implemented using a backpropagation online learning-based algorithm for balanced non-linear loads. This algorithm minimized the mathematical burden and the complications of control. It demonstrated a dynamic role in improving the quality of the power at the grid. The algorithm was implemented in MATLAB using an ANN model controller and the results were validated with an experimental set-up using an FPGA controller.

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Voltage profile and power quality improvement in photovoltaic farms integrated medium voltage grid using dynamic voltage restorer

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v11.i3.pp1481-1490 ◽

2020 ◽

Vol 11 (3) ◽

pp. 1481

Author(s):

Abdelkrim Benali ◽

Mounir Khiat ◽

Mouloud Denai

Keyword(s):

Power Quality ◽

Voltage Source ◽

Solar Pv ◽

Voltage Profile ◽

Pv System ◽

Dynamic Voltage Restorer ◽

Medium Voltage ◽

Voltage Restorer ◽

Dynamic Voltage ◽

Distribution Generation

<p class="Abstract">In this paper, we have presented a simulation study to analyze the power quality of three phases medium voltage grid connected with distribution generation (DG) such as photovoltaic (PV) farms and its control schemes. The system uses two-stage energy conversion topology composed of a DC to DC boost converter for the extraction of maximum power available from the solar PV system based on incremental inductance technique and a three-level voltage source inverter (VSI) to connect PV farm to the power grid. To maintain the grid voltage and frequency within tolerance following disturbances such as voltage swells and sags, a fuzzy logic-based Dynamic Voltage Restorer is proposed. The role of the DVR is to protect critical loads from disturbances coming from the network. Different fault conditions scenarios are tested and the results such as voltage stability, real and reactive powers, current and power factor at the point of common coupling (PCC) are compared with and without the DVR system.</p>

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Synchronization of Solar PV System to Grid with Enhanced Power Quality

2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE) ◽

10.1109/icnte51185.2021.9487702 ◽

2021 ◽

Author(s):

Pavitra Shuk ◽

Bhim Singh

Keyword(s):

Power Quality ◽

Solar Pv ◽

Pv System ◽

Solar Pv System

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An Advanced Control Technique for Power Quality Improvement of Grid-Tied Multilevel Inverter

Sustainability ◽

10.3390/su13020505 ◽

2021 ◽

Vol 13 (2) ◽

pp. 505

Author(s):

Sumaya Jahan ◽

Shuvra Prokash Biswas ◽

Md. Kamal Hosain ◽

Md. Rabiul Islam ◽

Safa Haq ◽

...

Keyword(s):

Power Quality ◽

Harmonic Distortion ◽

Multilevel Inverter ◽

Control Technique ◽

Solar Pv ◽

Pv System ◽

Reference Tracking ◽

Proportional Integral ◽

Lead Compensator ◽

Power Quality Improvement

The use of different control techniques has become very popular for controlling the performance of grid-connected photovoltaic (PV) systems. Although the proportional-integral (PI) control technique is very popular, there are some difficulties such as less stability, slow dynamic response, low reference tracking capability, and lower output power quality in solar PV applications. In this paper, a robust, fast, and dynamic proportional-integral resonance controller with a harmonic and lead compensator (PIR + HC + LC) is proposed to control the current of a 15-level neutral-point-clamped (NPC) multilevel inverter. The proposed controlled is basically a proportional-integral resonance (PIR) controller with the feedback of a harmonic compensator and a lead compensator. The performance of the proposed controller is analyzed in a MATLAB/Simulink environment. The simulation result represents admirable performance in terms of stability, sudden load change response, fault handling capability, reference tracking capability, and total harmonic distortion (THD) than those of the existing controllers. The responses of the inverter and grid outlets under different conditions are also analyzed. The harmonic compensator decreases the lower order harmonics of grid voltage and current, and the lead compensator provides the phase lead. It is expected that the proposed controller is a dynamic aspirant in the grid-connected PV system.

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