Optimal sizing of a hybrid solar energy system using particle swarm optimization algorithm based on cost and pollution criteria

Abstract

Sizing of hybrid energy systems is primarily determined based on either cost criterion or produced pollution criterion. Optimization of a hybrid energy system for a typical house in Tunisia is investigated using particle swarm optimization (PSO). To the best of our knowledge, PSO algorithm has not been used for PV/batteries bank/diesel generator energy system optimization. Different parameters—namely, cost, required maintenance of the parts, lifetime of each components, and pollution produced by the diesel generator—are investigated simultaneously as objectives for optimal design of the hybrid system. Different designs are considered for the hybrid system where CO2 emission is measured and system total cost is calculated. It is crucial to choose proper ranges of the parameters used in the PSO algorithm to achieve stable and global optimal solution. It is found that the cost of the system optimized using minimum pollution criterion has about 0.3% extra overall cost compared to the system optimized using minimum overall system cost criterion. New and simple method is proposed in this work to select the range of the PV panels' number to achieve optimal solution of PSO algorithm. This method is based on calculating the number of PV panels under different conditions of solar radiation and load values. The considered conditions are maximum solar radiation, 50% of maximum radiation, and the radiation at 9:00 AM for maximum and minimum load values. The choice of these conditions was arbitrary and contemplated to cover a wide range of different possible solar radiation in the year. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13055, 2019

Techno-economic and environmental design of an optimal hybrid energy system for a community multimedia centre in Cameroon

“…This technique has evolved over time and in this study we are going to use the improved or constricted particle swarm optimization technique [20]. The constriction coefficient χ helps to ameliorate the convergence of the system [11]. With the introduction of the constriction coefficient, the velocity equation becomes:…”

“…In the same way, the authors in [10] minimized the cost of a grid-connected hybrid system for residential application, incorporating a solar-wind-fuel cell combined heat and power system using PSO which they compared to GA in terms of accuracy and speed. PSO was equally used by the authors in [11] to investigate for minimum system cost and minimum pollution for a PV/ Battery bank/DG system for a typical house in Tunisia considering assumptions on the parameters of the PSO. The authors in [12] used PSO to optimize a Hybrid Micro-Grid System (HMGS) in three stations in Iran based on reliability and cost for a number of households.…”

A new intelligent approach for size optimization of a renewable energy based grid connected hybrid energy system

“…This study was done to lower the overall cost of the system and lower pollutant emissions. The results show that system costs, as well as pollution, were minimized 33 . Padrón et al used HOMER software to design an optimum HRES for supplying a stable power supply to desalination equipment at a remote location 34 .…”

“…The results show that system costs, as well as pollution, were minimized. 33 Padr on et al used HOMER software to design an optimum HRES for supplying a stable power supply to desalination equipment at a remote location. 34 Anand et al conducted research to find out the optimal size of a grid-connected HRES for rural regions in Haryana, India using the PSO method.…”

Statistical estimation of hourly diffuse radiation intensity of Budapest City

“…To determine the applicability of using any solar system in any place, solar radiation components—direct, global, and diffuse—must be assessed as a first step, which in turn has a positive effect in increasing the reliability and economic feasibilities of different solar energy applications 12‐14 . Numerous techno‐economic studies, as well as optimization studies of solar energy systems, have been presented in the literature where their analysis highly depends on the accuracy of the solar resources 15‐19 . The estimation of the radiation intensity on the horizontal or inclined surfaces is vital and requires deep knowledge about the estimation of various geometrical variables that vary with the sun position as well as the measuring techniques and their accuracies 20,21 .…”