“…The 3 rd , 5 th and 7 th harmonics occur in load currents, and the negative harmonic is present as (3). In order to ensure the sinusoidal waveform of the grid current, VSI injects compensation current at PCC in parallel with the nonlinear load.…”
Section: System Configuration and Controlmentioning
confidence: 99%
“…Therefore, integrating the solar PV system with DSTATCOM accommodates the growing electrical energy demand. At the same time, it mitigates the power quality problem in the distribution system [3].The power quality can be measured based on the Total Harmonic Distortion (THD) values [4].…”
This study presents a comprehensive simulation of digital control applications for a grid-connected photovoltaic (GCPV) system using a Hardware-in-the-Loop (HIL) simulation approach that incorporates a Digital Signal Processor (DSP). The simulation is carried out using the MATLAB Simulink block set and employs a frequency domain controller as the control algorithm. The simulation inputs, which consist of voltage and current sensor readings, are processed by an ADC idealizer block that produces output based on a real-time DSP-based HIL system. The output is then utilized to generate a pulse width modulation (PWM) signal, which drives the voltage source inverter (VSI). The simulation鈥檚 primary objective is to demonstrate the simplicity and efficacy of the proposed frequency domain controller design for the GCPV-based DSTATCOM system. The simulation results validate the performance of the controller under various operating conditions, including steady-state, unbalanced loads, variable solar insolation, and day-to-night transitions.
“…The 3 rd , 5 th and 7 th harmonics occur in load currents, and the negative harmonic is present as (3). In order to ensure the sinusoidal waveform of the grid current, VSI injects compensation current at PCC in parallel with the nonlinear load.…”
Section: System Configuration and Controlmentioning
confidence: 99%
“…Therefore, integrating the solar PV system with DSTATCOM accommodates the growing electrical energy demand. At the same time, it mitigates the power quality problem in the distribution system [3].The power quality can be measured based on the Total Harmonic Distortion (THD) values [4].…”
This study presents a comprehensive simulation of digital control applications for a grid-connected photovoltaic (GCPV) system using a Hardware-in-the-Loop (HIL) simulation approach that incorporates a Digital Signal Processor (DSP). The simulation is carried out using the MATLAB Simulink block set and employs a frequency domain controller as the control algorithm. The simulation inputs, which consist of voltage and current sensor readings, are processed by an ADC idealizer block that produces output based on a real-time DSP-based HIL system. The output is then utilized to generate a pulse width modulation (PWM) signal, which drives the voltage source inverter (VSI). The simulation鈥檚 primary objective is to demonstrate the simplicity and efficacy of the proposed frequency domain controller design for the GCPV-based DSTATCOM system. The simulation results validate the performance of the controller under various operating conditions, including steady-state, unbalanced loads, variable solar insolation, and day-to-night transitions.
“…Moreover, DSTSTCOM has been integrated into RDNs for many tasks such as mitigating harmonics, reducing loss, improving stability, power factor correction, and reducing voltage deviations. [13]. All these tasks have been accomplished due to the DSTATCOM ability for injecting and absorbing reactive power to system very fast, dynamical responses made its application very wide within the field [14].…”
The aim of this paper to assess the optimal site and size of photovoltaic (PV) generation-based DG along with Distribution Static Synchronous Compensator (DSTATCOM) in the real distribution network East Delta Network (EDN). In this paper, a new optimization method called Slime Mold Algorithm (SMA) simulates the oscillation mode of a slime mold in nature. DSTATCOMs and PV modules are applied to reduce losses, voltage profile and enhance stability while meeting the limitations of equality and inequality in the system. Evaluation is provided with only PV modules installed, DSTATCOMs installed only and PV modules installed with DSTATCOM. The simulations verified that the optimization of PV modules combined with DSTATCOMs can significantly enhance system performance compared to PV only modules or DSTATCOMs and the effectiveness of the proposed algorithm for allocating PVs and DSTATCOMs in terms of objective functions.
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