Numerical Modelling and Digitalization Analysis for a Photovoltaic Pumping System Placed in the South of Romania

Abstract

The authors studied a working off-grid type photovoltaic (PV) pumping system for irrigation use. The methodology was based on digitalization analysis and numerical modeling as a preliminary stage. A mathematical model of the PV pumping installation considered the determination of the characteristic equations for all its components. These have been used together with the SISIFO simulation software to achieve the performances of the mechanical and electrical components of an advanced PV pumping system. Its global performance features, namely the monthly energy yield, monthly pumping yield, and monthly total performances (energy and flow rate) were introduced. Digital platform (DP) for PV systems characterized by three advanced technologies—machine learning (ML), digital twin (DT) and artificial intelligence (AI) was developed. The simulation results were discussed for a specific case study conducted for a location in the Southern Romania regarding the irrigation potential, taking into account the main meteorological parameters: solar irradiance and ambient temperature, related to the site. The AI approach was implemented to achieve an optimum operation of the PV pumping system by the use of the maximum power point tracking (MPPT) method and the MATLAB/Simulink software. A unified development of all the components of the PV pumping system using the SISIFO simulation software was established by the authors, with major implications in the development of solar PV installations on large-scale.

Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage

“…Even devices such as the Romanian off-grid PV system for irrigation are subject to AI modelling to improve the efficiency of its mechanical and electrical components (monthly energy efficiency, monthly pumping capacity (flow rate), monthly total efficiency). The model was based on two main weather parameters: solar irradiance and ambient temperature based on the maximum power point tracking method [40]. The intelligence of the Grasshopper Optimization Algorithm is also used to control proportional integral controller parameters in island PV systems [41].…”

Investigation of the Partial Shading Effect of Photovoltaic Panels and Optimization of Their Performance Based on High-Efficiency FLC Algorithm

“…Due to various incentive programs and local market conditions in several European countries, as well as around the world, the photovoltaic (PV) systems represent a widespread solution for residential houses and other autonomous applications [1][2][3]. This approach raises new and important issues related to the efficiency, reliability, and safety of the PV systems, either autonomous or connected to the electrical grid [4].…”

“…The photovoltaic systems have increasing roles in modern electric power energy mix due to the continuing decline in the world's conventional energy sources. The major advantages associated with photovoltaic systems are: (1) no moving parts; (2) noise is not produced; (3) little or no maintenance requirement and non-polluting; (4) they are renewable; (5) they are highly modular and highly reliable; (6) they can be installed almost anywhere [5].…”