Dynamic Performance Evaluation of Photovoltaic Three-Diode Model-Based Rung-Kutta Optimizer

Abstract

This paper employs the Rung-Kutta optimizer (RKO) to investigate and analyze the dynamic performance of PV units represented using three-diode model (TDM). The paper can be categorized into three phases; In phase one, efforts are exerted to adapt the proposed optimizer RKO for extracting the optimal unknown parameters of the TDM for two widely used PV units namely PWP201/36 and STM6-40/36 modules. In the second phase, comprehensive comparisons between different recent well-known and challenging optimizers such as interior search algorithm, heap-based optimizer, artificial ecosystem-based optimizer, particle swarm optimizer and many more versus the RKO to indicate its effectiveness and viability. It can be confirmed after fair investigations that the RKO generates the lowest value of the root mean square errors (i.e. 2.050683 mA and 1.712171 mA for TDM PWP201/36 and TDM STM6-40/36 modules, respectively) In addition to that, other comparisons between one-, two-and three-diode models (i.e. SDM, DDM and TDM) using the RKO and other optimizers are made. Lastly, the optimal cropped parameters of the PWP201/36 module are used to create a full Simulink model when it is loaded by switched reluctance motor to analyze and study the dynamic performance of this PV module as a representative case under varied loading scenarios. Many parameters in regards to the SRM and behavior of the PV unit are traced and expansively discussed. It can be stated that the investigated results and comparisons indicate apparently the viability of the RKO improving the PV performance and suggests it to tackle other engineering optimization problems.INDEX TERMS Models of solar generating units, parameters' extraction, optimization methods, dynamic performance assessments, switched reluctance motor.

Research on Pilot Protection for Tie Line of Renewable Energy Sources

“…3 shows that with the change of the magnitude and angle of I Wa , the phase angle difference between the B-phase currents on both sides will never exceed 90 • , but the angle between the C-phase (the lagging-phase) currents I Wc and I Sc will change greatly: when I Wa is close to the q-axis current component I Wq , the angle difference between the C-phase currents on both sides is close to zero; however, the smaller the angle between I Wa and d-axis, the closer the amplitudes of I Wa and I Sa1 , and the larger the angle difference between the C-phase currents on both sides, which may even exceed 90 • . According to relevant studies on the stability of the power grid with RESs, the inverter power source connected to the grid will not be able to operate stably [32], [33], [34], [35], [36], when the short circuit ratio of the system is less than 2. It can be approximately assumed that the amplitude ratio of I Wa to I Sa1 is 1:2, that the positive sequence impedance angle on the system side is 80 • -90 • , and that the angle between I Wa and d-axis is zero, so the range of the maximum angle between I Wc and I Sc can be obtained:…”

An Effective Runge-Kutta Optimizer Based on Adaptive Population Size and Search Step Size

“…This search approach makes use of two effective exploitation and exploration stages to find attractive areas in the search space and progress to the optimal global solution [13]. Despite RUN being a recent algorithm, it has demonstrated excellent performance in solving complex real-world problems such as parameters estimation of photovoltaic models [15,16], power systems [17,18], lithium-ion batteries management [19], identification of the optimal operating parameters for the carbon dioxide capture process in industrial settings [20], water reservoir optimization problems [21], resource allocation in cloud computing [22], and machine learning models parameters tuning [23] to name a few. However, it was noticed that the original RUN consumes more time in solving optimization problems without finding the optimal solution, and in high-dimensional problems, the search capabilities and convergence speed of the original RUN deteriorate.…”