Performance Assessment of Solar Generating Units Based on Coot Bird Metaheuristic Optimizer

Abstract

In this paper, a comprehensive methodology based on coot bird metahurestic optimizer called CBMO is presented aiming to demonstrate the performance of solar units under various operating and loading scenarios. The CBMO is capable to deal with different complicated behavior in both harmonized or disorderly phases and can define its major parameters with proofed indicators. It can convey from exploration state to exploitation state to realize a fast and better convergence without trapping in local minima. At first stage of this effort, the optimal values of uncertain parameters of well-known benchmarking PV units under study are cropped with compulsory validations and comparisons. It can be mentioned here both single-and doublediode models of such units are utilized, and their unknown parameters are emphasized. Then, a Simulink detailed model is built-up employing the obtained parameters with various types of connected loads such as static resistive load and dynamic DC motor to appraise the operating performance of such units. It is worth mentioning that the performance of solar units under varied sun radiations and cell temperatures are made along the presented work. To sum up, it can be empathized that the CBMO performs well, and its results are very competitive to those available in the literature.

Coot bird optimization algorithm for the temperature control of continuous stirred tank reactor process

“…Recently, the CBOA is applied to improve the performance and efficiency of solar cells under different operational and loading conditions based on sun radiations and cell temperatures. 27 CBOA also performed very well in solving real-world engineering problems. They use a simple mechanism of leader selection and also perform better on hybrid functions.…”

Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm

“…In [47], Memarzadeh et al used the COOT algorithm to optimize the parameters of a wind power prediction model. In [48], Gouda et al used the COOT optimization algorithm to test the performance of solar power generator units. In [49], Mahdy et al combined the COOT optimization algorithm with an anti-windup approach as a way to improve the transient stability of a wave energy conversion system (WECS).…”

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

“…The complete TDM is illustrated in Fig. 1 and the branches current can be represented in ( 1) to (6).…”

“…return on investment, lower maintenance, secured long-term cost of the energy, sustainable, and viable source [1]- [5]. PVGSs face many challenges as its generation changeability due to environmental conditions, nonlinear behavior, devices depreciation, required wide areas for large plants, and expensive storage arrangements [6], [7]. A lot of research papers have been introduced to overcome these problems and obtain the best PV performance.…”

“…A lot of research papers have been introduced to overcome these problems and obtain the best PV performance. To achieve this goal, a reliable modelling and simulation of PV units in addition to precise estimation of its unknown parameters became mandatory [5], [6]. The values of PV parameters substantially affect the efficacy of the system.…”