Voltage Quality Enhancement of Low-Voltage Smart Distribution System Using Robust and Optimized DVR Controllers: Application of the Harris Hawks Algorithm

Abstract

The voltage quality (VQ) index has become a significant measure of recent power system stability. The integration of photovoltaic (PV) systems plus smart home loads (SHLs) at low voltage levels (LVLs) has resulted in various issues such as harmonics rise and voltage instabilities as a result of faults and systems nonlinearity. In this work, a dynamic voltage resistor (DVR) is implemented to enhance VQ, and its dynamic performance hinges on its control system ability. To enhance the DVR’s control system, for surpassing nonstandard voltage with a quick response and harmonics reduction at LVL under harsh operating events, an optimal controller design using the Harris Hawks algorithm (HHA) is proposed. To verify the value of the suggested solution, the hard operating events (voltage sag, voltage swell, fluctuating voltage, and imbalanced voltage) are examined and assessed. To show the effectiveness of the HHA technique, a comparison of the % total harmonic distortion (THD) reductions achieved by the suggested and conventional controllers of DVR is conducted for the scenarios under study. Moreover, the suggested controller stability is analyzed and assessed using Lyapunov’s function. The benefits of the optimized controller system are inferred from the results, including their robustness, simplicity, efficient harmonic rejection, minimal tracking error, quick response, and sinusoidal reference track. The results of the simulation show that the DVR’s optimized controller is efficient and effective in maintaining a voltage at the needed level with low THD, safeguarding the sensitive load as expected, and showing a noticeable improvement in voltage waveforms. The mathematical modeling of HHA, PV system, DVR, and SHLs are all verified using MATLAB\Simulink.

Evaluation and Comparison of Different Methods for Improving Fault Ride-Through Capability in Grid-Tied Permanent Magnet Synchronous Wind Generators

“…Te series type dynamic voltage restorer (DVR) injects series voltage to compensate voltage sags [82]. Te DVR, as shown in Figure 10, consists of a 3-phase VSC linked in series between the WS and PG by an injecting transformer [79,83]. Te structure of the injecting transformers is different from that of regular transformers in order to avoid saturation and high inrush current [84].…”

Robust Speed Controller for PMSG Wind System Based on Harris Hawks Optimization via Wind Speed Estimation: A Real Case Study

“…It was chosen for this research due when put to the test on 6 constrained design engineering tasks and 29 unconstrained benchmark problems, it outperformed the other 11 techniques [63]. The HH's behavior towards prey is represented by the following equations, and the concept of the HHA is properly described in [64], [65], [66]. A flowchart for the SCL's application of the proposed HHA is given in Fig.…”

Optimal configuration of grid-side energy storage considering static security of power system

“…At present, domestic, and international research has focused on three aspects of energy storage equipment to improve the flexibility (Zhou et al, 2021;Zhang et al, 2022), operational stability (Mahmoud et al, 2022b), and security of power systems. Among them, the role of energy storage for power system security enhancement is discussed in three dimensions: topological vulnerability (Martinez-Rico et al, 2021), grid security power supply capacity (Li et al, 2022;Mahmoud et al, 2022a), and transient security (Wang et al, 2021), respectively. An integrated planning and operation method is proposed in (Martinez-Rico et al, 2021), which is for optimal allocation of energy storage based on the active network loss and voltage offset indicators.…”

“…This effectively improves the structural strength of the grid topology and ensures grid voltage stability. In literature (Mahmoud et al, 2022a), based on Robust and optimized DVR controller, Harris Hawks optimization algorithm is used to enhance the voltage quality of low-voltage smart distribution. The literature (Li et al, 2022) proposes a new grid-connected wind power generation system based on an improved topology and controller, which considers both state-of-charge and energy storage configurations.…”